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Matsoukas S, Zipser CM, Zipser-Mohammadzada F, Kheram N, Boraschi A, Jiang Z, Tetreault L, Fehlings MG, Davies BM, Margetis K. Scoping Review with Topic Modeling on the Diagnostic Criteria for Degenerative Cervical Myelopathy. Global Spine J 2024; 14:2155-2169. [PMID: 38442295 PMCID: PMC11418695 DOI: 10.1177/21925682241237469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/07/2024] Open
Abstract
STUDY DESIGN This study is a scoping review. OBJECTIVE There is a broad variability in the definition of degenerative cervical myelopathy (DCM) and no standardized set of diagnostic criteria to date. METHODS We interrogated the Myelopathy.org database, a hand-indexed database of primary clinical studies conducted exclusively on DCM in humans between 2005-2021. The DCM inclusion criteria used in these studies were inputted into 3 topic modeling algorithms: Hierarchical Dirichlet Process (HDP), Latent Dirichlet Allocation (LDA), and BERtopic. The emerging topics were subjected to manual labeling and interpretation. RESULTS Of 1676 reports, 120 papers (7.16%) had well-defined inclusion criteria and were subjected to topic modeling. Four topics emerged from the HDP model: disturbance from extremity weakness and motor signs; fine-motor and sensory disturbance of upper extremity; a combination of imaging and clinical findings is required for the diagnosis; and "reinforcing" (or modifying) factors that can aid in the diagnosis in borderline cases. The LDA model showed the following topics: disturbance to the patient is required for the diagnosis; reinforcing factors can aid in the diagnosis in borderline cases; clinical findings from the extremities; and a combination of imaging and clinical findings is required for the diagnosis. BERTopic identified the following topics: imaging abnormality, typical clinical features, range of objective criteria, and presence of clinical findings. CONCLUSIONS This review provides quantifiable data that only a minority of past studies in DCM provided meaningful inclusion criteria. The items and patterns found here are very useful for the development of diagnostic criteria for DCM.
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Affiliation(s)
- Stavros Matsoukas
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carl Moritz Zipser
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
| | | | - Najmeh Kheram
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
- The Interface Group, Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - Andrea Boraschi
- The Interface Group, Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - Zhilin Jiang
- King’s College Hospital NHS Foundation Trust, London, UK
| | - Lindsay Tetreault
- Department of Neurology, Langone Health, Graduate Medical Education, New York University, New York, NY, USA
| | - Michael G. Fehlings
- Division of Neurosurgery and Spine Program, University of Toronto and Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Benjamin M. Davies
- Myelopathy.org, International Charity for Degenerative Cervical Myelopathy, Cambridge, UK
- Department of Neurosurgery, University of Cambridge, Cambridge, UK
| | - Konstantinos Margetis
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Davies BM, Yang X, Khan DZ, Mowforth OD, Touzet AY, Nouri A, Harrop JS, Aarabi B, Rahimi-Movaghar V, Kurpad SN, Guest JD, Tetreault L, Kwon BK, Boerger TF, Rodrigues-Pinto R, Furlan JC, Chen R, Zipser CM, Curt A, Milligan J, Kalsi-Rayn S, Sarewitz E, Sadler I, Blizzard T, Treanor C, Anderson D, Fallah N, Hazenbiller O, Salzman C, Zimmerman Z, Wandycz AM, Widdop S, Reeves M, Raine R, Ryan SK, Malone A, Gharooni A, Wilson JR, Martin AR, Fehlings MG, McNair AGK, Kotter MRN. A minimum data set-Core outcome set, core data elements, and core measurement set-For degenerative cervical myelopathy research (AO Spine RECODE DCM): A consensus study. PLoS Med 2024; 21:e1004447. [PMID: 39173109 PMCID: PMC11379399 DOI: 10.1371/journal.pmed.1004447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Revised: 09/06/2024] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND Degenerative cervical myelopathy (DCM) is a progressive chronic spinal cord injury estimated to affect 1 in 50 adults. Without standardised guidance, clinical research studies have selected outcomes at their discretion, often underrepresenting the disease and limiting comparability between studies. Utilising a standard minimum data set formed via multi-stakeholder consensus can address these issues. This combines processes to define a core outcome set (COS)-a list of key outcomes-and core data elements (CDEs), a list of key sampling characteristics required to interpret the outcomes. Further "how" these outcomes should be measured and/or reported is then defined in a core measurement set (CMS). This can include a recommendation of a standardised time point at which outcome data should be reported. This study defines a COS, CDE, and CMS for DCM research. METHODS AND FINDINGS A minimum data set was developed using a series of modified Delphi processes. Phase 1 involved the setup of an international DCM stakeholder group. Phase 2 involved the development of a longlist of outcomes, data elements, and formation into domains. Phase 3 prioritised the outcomes and CDEs using a two-stage Delphi process. Phase 4 determined the final DCM minimal data set using a consensus meeting. Using the COS, Phase 5 finalised definitions of the measurement construct for each outcome. In Phase 6, a systematic review of the literature was performed, to scope and define the psychometric properties of measurement tools. Phase 7 used a modified Delphi process to inform the short-listing of candidate measurement tools. The final measurement set was then formed through a consensus meeting (Phase 8). To support implementation, the data set was then integrated into template clinical research forms (CRFs) for use in future clinical trials (Phase 9). In total, 28 outcomes and 6 domains (Pain, Neurological Function, Life Impact, Radiology, Economic Impact, and Adverse Events) were entered into the final COS. Thirty two outcomes and 4 domains (Individual, Disease, Investigation, and Intervention) were entered into the final CDE. Finally, 4 outcome instruments (mJOA, NDI, SF-36v2, and SAVES2) were identified for the CMS, with a recommendation for trials evaluating outcomes after surgery, to include baseline measurement and at 6 months from surgery. CONCLUSIONS The AO Spine RECODE-DCM has produced a minimum data set for use in DCM clinical trials today. These are available at https://myelopathy.org/minimum-dataset/. While it is anticipated the CDE and COS have strong and durable relevance, it is acknowledged that new measurement tools, alongside an increasing transition to study patients not undergoing surgery, may necessitate updates and adaptation, particularly with respect to the CMS.
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Affiliation(s)
- Benjamin M Davies
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Myelopathy.org, Cambridge, United Kingdom
| | - Xiaoyu Yang
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Danyal Z Khan
- Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom
| | - Oliver D Mowforth
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Myelopathy.org, Cambridge, United Kingdom
| | - Alvaro Y Touzet
- School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, Manchester, United Kingdom
| | - Aria Nouri
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Department of Neurosurgery, Geneva University Hospital, University of Geneva, Geneva, Switzerland
| | - James S Harrop
- Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America
| | - Bizhan Aarabi
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland, United States of America
| | - Vafa Rahimi-Movaghar
- Department of Neurosurgery, Sina Trauma and Surgery Research Centre, Tehran University of Medical Sciences, Tehran, Iran
| | - Shekar N Kurpad
- Department of Neurosurgery, Medical College of Wisconsin, Wauwatosa, Wisconsin, United States
| | - James D Guest
- Department of Neurosurgery and The Miami Project to Cure Paralysis, The Miller School of Medicine, University of Miami, Miami, Florida, United States
| | - Lindsay Tetreault
- Department of Neurology, New York University Langone Health, New York, New York, United States of America
| | - Brian K Kwon
- Department of Orthopaedics, International Collaboration on Repair Discoveries (ICORD), Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Timothy F Boerger
- Department of Neurosurgery, Medical College of Wisconsin, Wauwatosa, Wisconsin, United States
| | - Ricardo Rodrigues-Pinto
- Spinal Unit (UVM), Department of Orthopaedics, Centro Hospitalar Universitário do Porto - Hospital de Santo António, Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar, Porto, Portugal
| | - Julio C Furlan
- Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, and KITE Research Institute and Toronto Rehabilitation Institute, University Health Network, Toronto, Canada
| | - Robert Chen
- Division of Neurology, University of Toronto, Toronto, Canada
| | - Carl M Zipser
- University Spine Centre, Balgrist University Hospital, Zurich, Switzerland
| | - Armin Curt
- University Spine Centre, Balgrist University Hospital, Zurich, Switzerland
| | - James Milligan
- Department of Family Medicine, McMaster University, Hamilton, Canada
| | | | | | | | | | | | - David Anderson
- School of Health Sciences, Faculth of Medicine and Health, University of Sydney, Sydney, Australia
| | | | | | | | | | | | | | | | - Rye Raine
- Myelopathy.org, Cambridge, United Kingdom
| | - Sukvinder K Ryan
- Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, and KITE Research Institute and Toronto Rehabilitation Institute, University Health Network, Toronto, Canada
| | - Ailish Malone
- Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ali Gharooni
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Jefferson R Wilson
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Canada
| | - Allan R Martin
- Department of Neurological Surgery, University of California, Davis, Sacramento, California, United States of America
| | - Michael G Fehlings
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Canada
| | - Angus G K McNair
- Centre for Surgical Research, Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Mark R N Kotter
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Myelopathy.org, Cambridge, United Kingdom
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Rujeedawa T, Mowforth OD, Davies BM, Yang C, Nouri A, Francis JJ, Aarabi B, Kwon BK, Harrop J, Wilson JR, Martin AR, Rahimi-Movaghar V, Guest JD, Fehlings MG, Kotter MR. Degenerative Thoracic Myelopathy: A Scoping Review of Epidemiology, Genetics, and Pathogenesis. Global Spine J 2024; 14:1664-1677. [PMID: 38146739 PMCID: PMC11394495 DOI: 10.1177/21925682231224768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2023] Open
Abstract
STUDY DESIGN Literature Review. OBJECTIVE Myelopathy affecting the thoracic spinal cord can arise secondary to several aetiologies which have similar presentation and management. Consequently, there are many uncertainties in this area, including optimal terminology and definitions. Recent collaborative cervical spinal research has led to the proposal and subsequent community adoption of the name degenerative cervical myelopathy(DCM), which has facilitated the establishment of internationally-agreed research priorities for DCM. We put forward the case for the introduction of the term degenerative thoracic myelopathy(DTM) and degenerative spinal myelopathy(DSM) as an umbrella term for both DCM and DTM. METHODS Following PRISMA guidelines, a systematic literature search was performed to identify degenerative thoracic myelopathy literature in Embase and MEDLINE. RESULTS Conditions encompassed within DTM include thoracic spondylotic myelopathy, ossification of the posterior longitudinal ligament, ossification of the ligamentum flavum, calcification of ligaments, hypertrophy of ligaments, degenerative disc disease, thoracic osteoarthritis, intervertebral disc herniation, and posterior osteophytosis. The classic presentation includes girdle pain, gait disturbance, leg weakness, sensory disturbance, and bladder or bowel dysfunction, often with associated back pain. Surgical management is typically favoured with post-surgical outcomes dependent on many factors, including the causative pathology, and presence of additional stenosis. CONCLUSION The clinical entities encompassed by the term DTM are interrelated, can manifest concurrently, and present similarly. Building on the consensus adoption of DCM in the cervical spine and the recent proposal of degenerative cervical radiculopathy(DCR), extending this common nomenclature framework to the terms degenerative spinal myelopathy and degenerative thoracic myelopathy will help improve recognition and communication.
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Affiliation(s)
- Tanzil Rujeedawa
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Oliver D Mowforth
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Benjamin M Davies
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Cylene Yang
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Aria Nouri
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland
| | - Jibin J Francis
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | | | - Brian K Kwon
- Vancouver General Hospital, University of British Columbia, Vancouver, BC, Canada
| | - James Harrop
- Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | | | - Allan R Martin
- Department of Neurosurgery, University of California Davis, Sacramento, CA, USA
| | - Vafa Rahimi-Movaghar
- Department of Neurosurgery, Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - James D Guest
- Department of Neurosurgery and The Miami Project to Cure Paralysis, The Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Michael G Fehlings
- Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Mark R Kotter
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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Karabacak M, Jagtiani P, Zipser CM, Tetreault L, Davies B, Margetis K. Mapping the Degenerative Cervical Myelopathy Research Landscape: Topic Modeling of the Literature. Global Spine J 2024:21925682241256949. [PMID: 38760664 DOI: 10.1177/21925682241256949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/19/2024] Open
Abstract
STUDY DESIGN Topic modeling of literature. OBJECTIVES Our study has 2 goals: (i) to clarify key themes in degenerative cervical myelopathy (DCM) research, and (ii) to evaluate the current trends in the popularity or decline of these topics. Additionally, we aim to highlight the potential of natural language processing (NLP) in facilitating research syntheses. METHODS Documents were retrieved from Scopus, preprocessed, and modeled using BERTopic, an NLP-based topic modeling method. We specified a minimum topic size of 25 documents and 50 words per topic. After the models were trained, they generated a list of topics and corresponding representative documents. We utilized linear regression models to examine trends within the identified topics. In this context, topics exhibiting increasing linear slopes were categorized as "hot topics," while those with decreasing slopes were categorized as "cold topics". RESULTS Our analysis retrieved 3510 documents that were classified into 21 different topics. The 3 most frequently occurring topics were "OPLL" (ossification of the posterior longitudinal ligament), "Anterior Fusion," and "Surgical Outcomes." Trend analysis revealed the hottest topics of the decade to be "Animal Models," "DCM in the Elderly," and "Posterior Decompression" while "Morphometric Analyses," "Questionnaires," and "MEP and SSEP" were identified as being the coldest topics. CONCLUSIONS Our NLP methodology conducted a thorough and detailed analysis of DCM research, uncovering valuable insights into research trends that were otherwise difficult to discern using traditional techniques. The results provide valuable guidance for future research directions, policy considerations, and identification of emerging trends.
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Affiliation(s)
- Mert Karabacak
- Department of Neurosurgery, Mount Sinai Health System, New York, NY, USA
| | - Pemla Jagtiani
- School of Medicine, SUNY Downstate Health Sciences University, New York, NY, USA
| | - Carl Moritz Zipser
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
| | - Lindsay Tetreault
- Department of Neurology, New York University Langone, New York, NY, USA
| | - Benjamin Davies
- Department of Clinical Neurosurgery, University of Cambridge, Cambridge, UK
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Jiang Z, Davies B, Zipser C, Margetis K, Martin A, Matsoukas S, Zipser-Mohammadzada F, Kheram N, Boraschi A, Zakin E, Obadaseraye OR, Fehlings MG, Wilson J, Yurac R, Cook CE, Milligan J, Tabrah J, Widdop S, Wood L, Roberts EA, Rujeedawa T, Tetreault L. The Frequency of Symptoms in Patients With a Diagnosis of Degenerative Cervical Myelopathy: Results of a Scoping Review. Global Spine J 2024; 14:1395-1421. [PMID: 37917661 PMCID: PMC11289544 DOI: 10.1177/21925682231210468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2023] Open
Abstract
STUDY DESIGN Delayed diagnosis of degenerative cervical myelopathy (DCM) is associated with reduced quality of life and greater disability. Developing diagnostic criteria for DCM has been identified as a top research priority. OBJECTIVES This scoping review aims to address the following questions: What is the diagnostic accuracy and frequency of clinical symptoms in patients with DCM? METHODS A scoping review was conducted using a database of all primary DCM studies published between 2005 and 2020. Studies were included if they (i) assessed the diagnostic accuracy of a symptom using an appropriate control group or (ii) reported the frequency of a symptom in a cohort of DCM patients. RESULTS This review identified three studies that discussed the diagnostic accuracy of various symptoms and included a control group. An additional 58 reported on the frequency of symptoms in a cohort of patients with DCM. The most frequent and sensitive symptoms in DCM include unspecified paresthesias (86%), hand numbness (82%) and hand paresthesias (79%). Neck and/or shoulder pain was present in 51% of patients with DCM, whereas a minority had back (19%) or lower extremity pain (10%). Bladder dysfunction was uncommon (38%) although more frequent than bowel (23%) and sexual impairment (4%). Gait impairment is also commonly seen in patients with DCM (72%). CONCLUSION Patients with DCM present with many different symptoms, most commonly sensorimotor impairment of the upper extremities, pain, bladder dysfunction and gait disturbance. If patients present with a combination of these symptoms, further neuroimaging is indicated to confirm the diagnosis of DCM.
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Affiliation(s)
- Zhilin Jiang
- King’s College Hospital, NHS Foundation Trust, London, UK
| | | | - Carl Zipser
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
| | - Konstantinos Margetis
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Allan Martin
- Department of Neurosurgery, University of California Davis, Davis, CA, USA
| | - Stavros Matsoukas
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Najmeh Kheram
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
- The Interface Group, Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - Andrea Boraschi
- The Interface Group, Institute of Physiology, University of Zurich, Zurich, Switzerland
| | - Elina Zakin
- Department of Neurology, New York UniversityLangone, New York, NY, USA
| | | | - Michael G. Fehlings
- Division of Neurosurgery and Spinal Program, University of Toronto, Toronto, ON, Canada
| | - Jamie Wilson
- University of Nebraska Medical Center, Omaha, NE, USA
| | - Ratko Yurac
- Professor of Orthopedics and Traumatology, University del Desarrollo, Clinica Alemana de Santiago, Santiago, Chile
| | | | - Jamie Milligan
- Department of Family Medicine, McMaster University, Hamilton, ON, USA
| | - Julia Tabrah
- Hounslow and Richmond Community Healthcare, London, UK
| | | | - Lianne Wood
- Nottingham University Hospital, Nottingham, UK
| | | | | | - Lindsay Tetreault
- Department of Neurology, New York UniversityLangone, New York, NY, USA
| | - AO Spine RECODE-DCM Diagnostic Criteria Incubator
- King’s College Hospital, NHS Foundation Trust, London, UK
- University of Cambridge, Cambridge, UK
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neurosurgery, University of California Davis, Davis, CA, USA
- The Interface Group, Institute of Physiology, University of Zurich, Zurich, Switzerland
- Department of Neurology, New York UniversityLangone, New York, NY, USA
- Department of Surgery, Asaba Specialist Hospital, Asaba, Nigeria
- Division of Neurosurgery and Spinal Program, University of Toronto, Toronto, ON, Canada
- University of Nebraska Medical Center, Omaha, NE, USA
- Professor of Orthopedics and Traumatology, University del Desarrollo, Clinica Alemana de Santiago, Santiago, Chile
- Duke University Medical Center, Durham, NC, USA
- Department of Family Medicine, McMaster University, Hamilton, ON, USA
- Hounslow and Richmond Community Healthcare, London, UK
- Myelopathy.org, Cambridge, UK
- Nottingham University Hospital, Nottingham, UK
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Davies BM, Khan DZ, Barzangi K, Ali A, Mowforth OD, Nouri A, Harrop JS, Aarabi B, Rahimi-Movaghar V, Kurpad SN, Guest JD, Tetreault L, Kwon BK, Boerger TF, Rodrigues-Pinto R, Furlan JC, Chen R, Zipser CM, Curt A, Milligan J, Kalsi-Rayn S, Sarewitz E, Sadler I, Widdop S, Fehlings MG, Kotter MR. We Choose to Call it 'Degenerative Cervical Myelopathy': Findings of AO Spine RECODE-DCM, an International and Multi-Stakeholder Partnership to Agree a Standard Unifying Term and Definition for a Disease. Global Spine J 2024; 14:503-512. [PMID: 35769029 PMCID: PMC10802519 DOI: 10.1177/21925682221111780] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
STUDY DESIGN Modified DELPHI Consensus Process. OBJECTIVE To agree a single unifying term and definition. Globally, cervical myelopathy caused by degenerative changes to the spine is known by over 11 different names. This inconsistency contributes to many clinical and research challenges, including a lack of awareness. METHOD AO Spine RECODE-DCM (Research objectives and Common Data Elements Degenerative Cervical Myelopathy). To determine the index term, a longlist of candidate terms and their rationale, was created using a literature review and interviews. This was shared with the community, to select their preferred terms (248 members (58%) including 149 (60%) surgeons, 45 (18%) other healthcare professionals and 54 (22%) People with DCM or their supporters) and finalized using a consensus meeting. To determine a definition, a medical definition framework was created using inductive thematic analysis of selected International Classification of Disease definitions. Separately, stakeholders submitted their suggested definition which also underwent inductive thematic analysis (317 members (76%), 190 (59%) surgeons, 62 (20%) other healthcare professionals and 72 (23%) persons living with DCM or their supporters). Using this definition framework, a working definition was created based on submitted content, and finalized using consensus meetings. RESULTS Degenerative Cervical Myelopathy was selected as the unifying term, defined in short, as a progressive spinal cord injury caused by narrowing of the cervical spinal canal. CONCLUSION A consistent term and definition can support education and research initiatives. This was selected using a structured and iterative methodology, which may serve as an exemplar for others in the future.
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Affiliation(s)
- Benjamin M. Davies
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, University of Cambridge, UK
- Myelopathy.org, UK
| | - Danyal Z Khan
- Department of Neurosurgery, Walton Centre, UK
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences, University College London, UK
| | - Kara Barzangi
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, University of Cambridge, UK
| | - Ahmad Ali
- Department of Neurosurgery, Walton Centre, UK
| | - Oliver D. Mowforth
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, University of Cambridge, UK
- Myelopathy.org, UK
| | - Aria Nouri
- Department of Neurosurgery, Geneva University Hospital, University of Geneva, Switzerland
| | - James S. Harrop
- Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Bizhan Aarabi
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Vafa Rahimi-Movaghar
- Department of Neurosurgery, Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Iran
| | - Shekar N Kurpad
- Department of Neurosurgery, Medical College of Wisconsin, Wauwatosa, WI, USA
| | - James D. Guest
- Department of Neurosurgery and The Miami Project to Cure Paralysis, The Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Lindsay Tetreault
- Department of Neurology, New York University Langone Health, New York, NY, USA
| | - Brian K. Kwon
- Department of Orthopaedics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Timothy F Boerger
- Department of Neurosurgery, Medical College of Wisconsin, Wauwatosa, WI, USA
| | - Ricardo Rodrigues-Pinto
- Spinal Unit (UVM), Department of Orthopaedics, Centro Hospitalar Universitário do Porto - Hospital de Santo António, Portugal
- Instituto de Ciências Biomédicas Abel Salazar, Portugal
| | - Julio C. Furlan
- Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, ON, Canada
| | - Robert Chen
- Division of Neurology, University of Toronto, Toronto, ON, Canada
| | | | - Armin Curt
- University Spine Center, Balgrist University Hospital, Switzerland
| | | | | | | | | | | | - Michael G. Fehlings
- Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada
| | - Mark R.N. Kotter
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, University of Cambridge, UK
- Myelopathy.org, UK
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7
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Partha Sarathi CI, Sinha A, Rafati Fard A, Bhatti F, Rujeedawa T, Ahmed S, Akhbari M, Bhatti A, Nouri A, Kotter MR, Davies BM, Mowforth OD. The significance of metabolic disease in degenerative cervical myelopathy: a systematic review. Front Neurol 2024; 15:1301003. [PMID: 38375465 PMCID: PMC10876002 DOI: 10.3389/fneur.2024.1301003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 01/09/2024] [Indexed: 02/21/2024] Open
Abstract
Introduction Degenerative cervical myelopathy (DCM) is a form of chronic spinal cord injury, with a natural history of potential for progression over time. Whilst driven by mechanical stress on the spinal cord from degenerative and congenital pathology, the neurological phenotype of DCM is likely to be modified by multiple systemic factors. The role of metabolic factors is therefore of interest, particularly given that ischaemia is considered a key pathological mechanism of spinal cord injury. The objective was therefore to synthesise current evidence on the effect of metabolism on DCM susceptibility, severity, and surgical outcomes. Methods A systematic review in MEDLINE and Embase was conducted following PRISMA guidelines. Full-text papers in English, with a focus on DCM and metabolism, including diabetes, cardiovascular disease, anaemia, and lipid profile, were eligible for inclusion. Risk of methodological bias was assessed using the Joanna Briggs Institute (JBI) critical assessment tools. Quality assessments were performed using the GRADE assessment tool. Patient demographics, metabolic factors and the relationships between metabolism and spinal cord disease, spinal column disease and post-operative outcomes were assessed. Results In total, 8,523 papers were identified, of which 57 met criteria for inclusion in the final analysis. A total of 91% (52/57) of included papers assessed the effects of diabetes in relation to DCM, of which 85% (44/52) reported an association with poor surgical outcomes; 42% of papers (24/57) discussed the association between cardiovascular health and DCM, of which 88% (21/24) reported a significant association. Overall, DCM patients with diabetes or cardiovascular disease experienced greater perioperative morbidity and poorer neurological recovery. They were also more likely to have comorbidities such as obesity and hyperlipidaemia. Conclusion Metabolic factors appear to be associated with surgical outcomes in DCM. However, evidence for a more specific role in DCM susceptibility and severity is uncertain. The pathophysiology and natural history of DCM are critical research priorities; the role of metabolism is therefore a key area for future research focus. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier: CRD42021268814.
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Affiliation(s)
- Celine Iswarya Partha Sarathi
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Amil Sinha
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Amir Rafati Fard
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Faheem Bhatti
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Tanzil Rujeedawa
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Shahzaib Ahmed
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Melika Akhbari
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Aniqah Bhatti
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Aria Nouri
- Division of Neurosurgery, Geneva University Hospitals, University of Geneva, Geneva, Switzerland
| | - Mark R. Kotter
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Benjamin M. Davies
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
| | - Oliver D. Mowforth
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital, University of Cambridge, Cambridge, United Kingdom
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8
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Elliott L, Li M, Gharooni AA, Davies BM, Mowforth OD. Respiratory dysfunction in degenerative cervical myelopathy: A systematic review. J Clin Neurosci 2024; 120:94-101. [PMID: 38237493 DOI: 10.1016/j.jocn.2024.01.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 12/29/2023] [Accepted: 01/02/2024] [Indexed: 02/12/2024]
Abstract
INTRODUCTION Degenerative cervical myelopathy is a condition of symptomatic cervical spinal cord compression secondary to a range of degenerative spinal pathology. Respiratory symptoms such as shortness of breath are not uncommonly reported by people with DCM and respiratory dysfunction has been described in several DCM studies. The objective of this review was therefore to systematically synthesise the current evidence on the relationship between DCM and respiratory function. METHODS The review was registered on PROSPERO and adhered to PRISMA guidelines. Ovid MEDLINE and Embase were searched from inception to 14th March 2023. DCM studies reporting on any measure or outcome relating to respiratory function or disease were eligible. Reference lists of included studies and relevant reviews articles were hand searched. Title, abstract and full text screening, risk of bias and GRADE assessments were completed in duplicate. A quantitative synthesis is presented. RESULTS Of 1991 studies identified by literature searching, 13 met inclusion criteria: 3 cohort studies, 5 case-control studies, 1 case series and 4 case studies. Forced vital capacity (FVC), peak expiratory flow rate (PEFR) and maximal voluntary ventilation (MVV) were reported to be lower in DCM patients than controls; there was inconsistency in comparisons of forced expiratory volume in 1 s (FEV1). There was conflicting evidence on whether surgical decompression was associated with improvements in respiratory parameters and on the relationship between level of spinal cord compression and respiratory dysfunction. CONCLUSION DCM may be associated with respiratory dysfunction. However, consistency and quality of evidence is currently low. Further work should characterise respiratory dysfunction in DCM patients more rigorously and investigate putative mechanisms such as disruption to cervical nerve roots responsible for diaphragmatic innervation and damage to descending spinal projections from brainstem respiratory centres.
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Affiliation(s)
- Lorcan Elliott
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Michael Li
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Aref-Ali Gharooni
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Benjamin M Davies
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Oliver D Mowforth
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
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9
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Wafford QE, Miller CH, Wescott AB, Kubilius RK. Meeting a need: development and validation of PubMed search filters for immigrant populations. J Med Libr Assoc 2024; 112:22-32. [PMID: 38911528 PMCID: PMC11189137 DOI: 10.5195/jmla.2024.1716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/25/2024] Open
Abstract
Objective There is a need for additional comprehensive and validated filters to find relevant references more efficiently in the growing body of research on immigrant populations. Our goal was to create reliable search filters that direct librarians and researchers to pertinent studies indexed in PubMed about health topics specific to immigrant populations. Methods We applied a systematic and multi-step process that combined information from expert input, authoritative sources, automation, and manual review of sources. We established a focused scope and eligibility criteria, which we used to create the development and validation sets. We formed a term ranking system that resulted in the creation of two filters: an immigrant-specific and an immigrant-sensitive search filter. Results When tested against the validation set, the specific filter sensitivity was 88.09%, specificity 97.26%, precision 97.88%, and the NNR 1.02. The sensitive filter sensitivity was 97.76%when tested against the development set. The sensitive filter had a sensitivity of 97.14%, specificity of 82.05%, precision of 88.59%, accuracy of 90.94%, and NNR [See Table 1] of 1.13 when tested against the validation set. Conclusion We accomplished our goal of developing PubMed search filters to help researchers retrieve studies about immigrants. The specific and sensitive PubMed search filters give information professionals and researchers options to maximize the specificity and precision or increase the sensitivity of their search for relevant studies in PubMed. Both search filters generated strong performance measurements and can be used as-is, to capture a subset of immigrant-related literature, or adapted and revised to fit the unique research needs of specific project teams (e.g. remove US-centric language, add location-specific terminology, or expand the search strategy to include terms for the topic/s being investigated in the immigrant population identified by the filter). There is also a potential for teams to employ the search filter development process described here for their own topics and use.
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Affiliation(s)
- Q Eileen Wafford
- , Research Librarian, Galter Health Sciences Library & Learning Center, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Corinne H Miller
- , Clinical Informationist, Galter Health Sciences Library & Learning Center, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Annie B Wescott
- , Research Librarian, Galter Health Sciences Library & Learning Center, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Ramune K Kubilius
- , Collection Development/Special Projects Librarian, Galter Health Sciences Library & Learning Center, Northwestern University Feinberg School of Medicine, Chicago, IL
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10
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Rafati Fard A, Mowforth OD, Yuan M, Myrtle S, Lee KS, Banerjee A, Khan M, Kotter MR, Newcombe VFJ, Stamatakis EA, Davies BM. Brain MRI changes in degenerative cervical myelopathy: a systematic review. EBioMedicine 2024; 99:104915. [PMID: 38113760 PMCID: PMC10772405 DOI: 10.1016/j.ebiom.2023.104915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 11/28/2023] [Accepted: 11/30/2023] [Indexed: 12/21/2023] Open
Abstract
BACKGROUND Degenerative cervical myelopathy (DCM) is the most common cause of adult spinal cord dysfunction globally. Associated neurological symptoms and signs have historically been explained by pathobiology within the cervical spine. However, recent advances in imaging have shed light on numerous brain changes in patients with DCM, and it is hypothesised that these changes contribute to DCM pathogenesis. The aetiology, significance, and distribution of these supraspinal changes is currently unknown. The objective was therefore to synthesise all current evidence on brain changes in DCM. METHODS A systematic review was performed. Cross-sectional and longitudinal studies with magnetic resonance imaging on a cohort of patients with DCM were eligible. PRISMA guidelines were followed. MEDLINE and Embase were searched to 28th August 2023. Duplicate title/abstract screening, data extraction and risk of bias assessments were conducted. A qualitative synthesis of the literature is presented as per the Synthesis Without Meta-Analysis (SWiM) reporting guideline. The review was registered with PROSPERO (ID: CRD42022298538). FINDINGS Of the 2014 studies that were screened, 47 studies were identified that used MRI to investigate brain changes in DCM. In total, 1500 patients with DCM were included in the synthesis, with a mean age of 53 years. Brain alterations on MRI were associated with DCM both before and after surgery, particularly within the sensorimotor network, visual network, default mode network, thalamus and cerebellum. Associations were commonly reported between brain MRI alterations and clinical measures, particularly the Japanese orthopaedic association (JOA) score. Risk of bias of included studies was low to moderate. INTERPRETATION The rapidly expanding literature provides mounting evidence for brain changes in DCM. We have identified key structures and pathways that are altered, although there remains uncertainty regarding the directionality and clinical significance of these changes. Future studies with greater sample sizes, more detailed phenotyping and longer follow-up are now needed. FUNDING ODM is supported by an Academic Clinical Fellowship at the University of Cambridge. BMD is supported by an NIHR Clinical Doctoral Fellowship at the University of Cambridge (NIHR300696). VFJN is supported by an NIHR Rosetrees Trust Advanced Fellowship (NIHR302544). This project was supported by an award from the Rosetrees Foundation with the Storygate Trust (A2844).
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Affiliation(s)
- Amir Rafati Fard
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Oliver D Mowforth
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK.
| | - Melissa Yuan
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Samuel Myrtle
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Keng Siang Lee
- Department of Neurosurgery, King's College Hospital, London, UK
| | - Arka Banerjee
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Maaz Khan
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Mark R Kotter
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Virginia F J Newcombe
- PACE Section, Department of Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Emmanuel A Stamatakis
- PACE Section, Department of Medicine, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Benjamin M Davies
- Division of Academic Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
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11
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Sarraj M, Hache P, Foroutan F, Oitment C, Marion TE, Guha D, Pahuta M. Natural history of degenerative cervical myelopathy: a meta-analysis and neurologic deterioration survival curve synthesis. Spine J 2024; 24:46-56. [PMID: 37549831 DOI: 10.1016/j.spinee.2023.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 07/25/2023] [Accepted: 07/26/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND CONTEXT Cervical spine surgery is rapidly increasing, and our knowledge of the natural history of degenerative cervical myelopathy (DCM) is limited. PURPOSE To synthesize accurate time-based estimates of meaningful neurologic decline in patients with DCM managed conservatively and to provide formulae to help communicate survivorship estimates to patients. STUDY DESIGN Systematic review and meta-analysis. METHODS A systematic review and meta-analysis was conducted using Cochrane and PRISMA guidelines. A librarian-assisted search strategy using multiple databases with broad search terms and validated filter functions was used. All articles were reviewed in duplicate. RESULTS A total of 9570 studies were captured in the initial search, which after deletion of duplicates and manual review of abstracts and full texts revealed 6 studies for analyses. All studies were prospective cohorts or randomized controlled trials. The pooled survival estimates for neurologic stability (95% CrI) for mild DCM patients are: 91% (83%-97%) at one year; 85% (72%-94%) at 2 years; 84% (70%-94%) at 3 years; 75% (54%-90%) at 5 years; 66% (40%-86%) at 15 years; and 65% (39%-86%) at 20 years. The pooled survival estimates for neurologic stability (95% CrI) for moderate/severe DCM patients are: 83% (76%-89%) at 1 year; 72% (62%-81%) at 2 years; 71% (60%-80%) at 3 years; 55% (41%-68%) at 5 years; 44% (27%-59%) at 15 years; and 43% (25%-58%) at 20 years. CONCLUSIONS This is the first quantitative synthesis of the totality of published data on DCM natural history. Our review confirms a slow decline in neurologic function. We developed formulae which can be easily used by surgeons to communicate to patients their risk of neurologic deterioration. These formulae can be used to facilitate the shared decision-making process.
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Affiliation(s)
- Mohamed Sarraj
- McMaster University, Division of Orthopedic Surgery, Hamilton General Hospital, Hamilton, Ontario, Canada.
| | - Philip Hache
- McMaster University, Division of Orthopedic Surgery, Hamilton General Hospital, Hamilton, Ontario, Canada
| | - Farid Foroutan
- Ted Rogers Centre for Heart Research, University Health Network, Toronto, Ontario, Canada; Department of Health Research, Methods, Impact, McMaster University, Hamilton, Ontario, Canada
| | - Colby Oitment
- McMaster University, Division of Orthopedic Surgery, Hamilton General Hospital, Hamilton, Ontario, Canada
| | - Travis E Marion
- Department of Orthopaedic Surgery, Northern Ontario School of Medicine, Ontario, Canada
| | - Daipayan Guha
- McMaster University, Division of Neurosurgery, Hamilton General Hospital, Hamilton, Ontario, Canada
| | - Markian Pahuta
- McMaster University, Division of Orthopedic Surgery, Hamilton General Hospital, Hamilton, Ontario, Canada
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12
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Khan MA, Mowforth OD, Kuhn I, Kotter MRN, Davies BM. Development of a validated search filter for Ovid Embase for degenerative cervical myelopathy. Health Info Libr J 2023; 40:181-189. [PMID: 34409722 DOI: 10.1111/hir.12373] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 03/14/2021] [Accepted: 04/14/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Degenerative cervical myelopathy (DCM) is a recently proposed umbrella term for symptomatic cervical spinal cord compression secondary to degeneration of the spine. Currently literature searching for DCM is challenged by the inconsistent uptake of the term 'DCM' with many overlapping keywords and numerous synonyms. OBJECTIVES Here, we adapt our previous Ovid medline search filter for the Ovid embase database, to support comprehensive literature searching. Both embase and medline are recommended as a minimum for systematic reviews. METHODS References contained within embase identified in our prior study formed a 'development gold standard' reference database (N = 220). The search filter was adapted for embase and checked against the reference database. The filter was then validated against the 'validation gold standard'. RESULTS A direct translation was not possible, as medline indexing for DCM and the keywords search field were not available in embase. We also used the 'focus' function to improve precision. The resulting search filter has 100% sensitivity in testing. DISCUSSION AND CONCLUSION We have developed a validated search filter capable of retrieving DCM references in embase with high sensitivity. In the absence of consistent terminology and indexing, this will support more efficient and robust evidence synthesis in the field.
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Affiliation(s)
- Maaz A Khan
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Oliver D Mowforth
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Isla Kuhn
- University of Cambridge Medical Library, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Mark R N Kotter
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Benjamin M Davies
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
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13
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Dohle E, Beardall S, Chang A, Mena KPC, Jovanović L, Nath U, Lee KS, Smith AH, Thirunavukarasu AJ, Touzet AY, Norton EJ, Mowforth OD, Kotter MRN, Davies BM. Human spinal cord tissue is an underutilised resource in degenerative cervical myelopathy: findings from a systematic review of human autopsies. Acta Neurochir (Wien) 2023; 165:1121-1131. [PMID: 36820887 PMCID: PMC10140111 DOI: 10.1007/s00701-023-05526-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 02/06/2023] [Indexed: 02/24/2023]
Abstract
STUDY DESIGN Systematic review. BACKGROUND Although degenerative cervical myelopathy (DCM) is the most prevalent spinal cord condition worldwide, the pathophysiology remains poorly understood. Our objective was to evaluate existing histological findings of DCM on cadaveric human spinal cord tissue and explore their consistency with animal models. METHODS MEDLINE and Embase were systematically searched (CRD42021281462) for primary research reporting on histological findings of DCM in human cadaveric spinal cord tissue. Data was extracted using a piloted proforma. Risk of bias was assessed using Joanna Briggs Institute critical appraisal tools. Findings were compared to a systematic review of animal models (Ahkter et al. 2020 Front Neurosci 14). RESULTS The search yielded 4127 unique records. After abstract and full-text screening, 19 were included in the final analysis, reporting on 150 autopsies (71% male) with an average age at death of 67.3 years. All findings were based on haematoxylin and eosin (H&E) staining. The most commonly reported grey matter findings included neuronal loss and cavity formation. The most commonly reported white matter finding was demyelination. Axon loss, gliosis, necrosis and Schwann cell proliferation were also reported. Findings were consistent amongst cervical spondylotic myelopathy and ossification of the posterior longitudinal ligament. Cavitation was notably more prevalent in human autopsies compared to animal models. CONCLUSION Few human spinal cord tissue studies have been performed. Neuronal loss, demyelination and cavitation were common findings. Investigating the biological basis of DCM is a critical research priority. Human spinal cord specimen may be an underutilised but complimentary approach.
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Affiliation(s)
- Esmee Dohle
- School of Clinical Medicine, University of Cambridge, Cambridge, UK.
| | - Sophie Beardall
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Aina Chang
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Karla P Corral Mena
- School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Luka Jovanović
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Upamanyu Nath
- North Manchester General Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - Keng Siang Lee
- Department of Basic and Clinical Neurosciences, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK
- Department of Neurosurgery, King's College Hospital, London, UK
| | | | | | - Alvaro Yanez Touzet
- School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Emma Jane Norton
- Division of Anaesthesia, Addenbrooke's Hospital, University of Cambridge, Cambridge, CB2 0QH, UK
| | - Oliver D Mowforth
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Mark R N Kotter
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Benjamin M Davies
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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14
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Sarraj M, Hache P, Foroutan F, Oitment C, Marion TE, Guha D, Pahuta M. Long-Term Survivorship of Cervical Spine Procedures; A Survivorship Meta-Analysis and Meta-Regression. Global Spine J 2023; 13:840-854. [PMID: 36069054 DOI: 10.1177/21925682221125766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
STUDY DESIGN Systematic Review. OBJECTIVES To conduct a meta-analysis on the survivorship of commonly performed cervical spine procedures to develop survival function curves for (i) second surgery at any cervical level, and (ii) adjacent level surgery. METHODS A systematic review of was conducted following PRISMA guidelines. Articles with cohorts of greater than 20 patients followed for a minimum of 36 months and with available survival data were included. Procedures included were anterior cervical discectomy and fusion (ACDF), cervical disc arthroplasty (ADR), laminoplasty (LAMP), and posterior laminectomy and fusion (PDIF). Reconstructed individual patient data were pooled across studies using parametric Bayesian survival meta-regression. RESULTS Of 1829 initial titles, 16 citations were included for analysis. 73 811 patients were included in the second surgery analysis and 2858 patients in the adjacent level surgery analysis. We fit a Log normal accelerated failure time model to the second surgery data and a Gompertz proportional hazards model to the adjacent level surgery data. Relative to ACDF, the risk of second surgery was higher with ADR and PDIF with acceleration factors 1.73 (95% CrI: 1.04, 2.80) and 1.35 (95% CrI: 1.25, 1.46) respectively. Relative to ACDF, the risk of second surgery was lower with LAMP with deceleration factor .06 (95% CrI: .05, .07). ADR decreased the risk of adjacent level surgery with hazard ratio .43 (95% CrI: .33, .55). CONCLUSIONS In cases of clinical equipoise between fusion procedures, our analysis suggests superior survivorship with anterior procedures. For all procedures, laminoplasty demonstrated superior survivorship.
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Affiliation(s)
- Mohamed Sarraj
- Division of Orthopedic Surgery, Hamilton General Hospital, 3710McMaster University, Hamilton, ON, Canada
| | - Philip Hache
- Division of Orthopedic Surgery, Hamilton General Hospital, 3710McMaster University, Hamilton, ON, Canada
| | - Farid Foroutan
- Ted Rogers Centre for Heart Research, 7989University Health Network, Toronto, ON, Canada
- Department of Health Research, Methods, Impact, 3710McMaster University, Hamilton, ON, Canada
| | - Colby Oitment
- Division of Orthopedic Surgery, Hamilton General Hospital, 3710McMaster University, Hamilton, ON, Canada
| | - Travis E Marion
- Department of Orthopaedic Surgery, 26627Northern Ontario School of Medicine, Thunder Bay, ON, Canada
| | - Daipayan Guha
- Division of Neurosurgery, Hamilton General Hospital, 3710McMaster University, Hamilton, ON, Canada
| | - Markian Pahuta
- Division of Orthopedic Surgery, Hamilton General Hospital, 3710McMaster University, Hamilton, ON, Canada
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15
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Davies BM, Yanez Touzet A, Mowforth OD, Lee KS, Khan D, Furlan JC, Fehlings MG, Harrop JS, Zipser CM, Rodrigues-Pinto R, Milligan J, Sarewitz E, Curt A, Rahimi-Movaghar V, Aarabi B, Boerger TF, Tetreault L, Chen R, Guest JD, Kalsi-Ryan S, Sadler I, Widdop S, McNair AGK, Kwon BK, Kotter MRN. Development of a core measurement set for research in degenerative cervical myelopathy: a study protocol (AO Spine RECODE-DCM CMS). BMJ Open 2022; 12:e060436. [PMID: 35680260 PMCID: PMC9185555 DOI: 10.1136/bmjopen-2021-060436] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Progress in degenerative cervical myelopathy (DCM) is hindered by inconsistent measurement and reporting. This impedes data aggregation and outcome comparison across studies. This limitation can be reversed by developing a core measurement set (CMS) for DCM research. Previously, the AO Spine Research Objectives and Common Data Elements for DCM (AO Spine RECODE-DCM) defined 'what' should be measured in DCM: the next step of this initiative is to determine 'how' to measure these features. This protocol outlines the steps necessary for the development of a CMS for DCM research and audit. METHODS AND ANALYSIS The CMS will be developed in accordance with the guidance developed by the Core Outcome Measures in Effectiveness Trials and the Consensus-based Standards for the selection of health Measurement Instruments. The process involves five phases. In phase 1, the steering committee agreed on the constructs to be measured by sourcing consensus definitions from patients, professionals and the literature. In phases 2 and 3, systematic reviews were conducted to identify tools for each construct and aggregate their evidence. Constructs with and without tools were identified, and scoping reviews were conducted for constructs without tools. Evidence on measurement properties, as well as on timing of assessments, are currently being aggregated. These will be presented in phase 4: a consensus meeting where a multi-disciplinary panel of experts will select the instruments that will form the CMS. Following selection, guidance on the implementation of the CMS will be developed and disseminated (phase 5). A preliminary CMS review scheduled at 4 years from release. ETHICS AND DISSEMINATION Ethical approval was obtained from the University of Cambridge (HBREC2019.14). Dissemination strategies will include peer-reviewed scientific publications; conference presentations; podcasts; the identification of AO Spine RECODE-DCM ambassadors; and engagement with relevant journals, funders and the DCM community.
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Affiliation(s)
- Benjamin M Davies
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Alvaro Yanez Touzet
- School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Oliver D Mowforth
- Department of Academic Neurosurgery, University of Cambridge, Cambridge, UK
| | - Keng Siang Lee
- Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK
| | - Danyal Khan
- Academic Neurosurgery Unit, University College London, London, UK
| | - Julio C Furlan
- Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, Ontario, Canada
| | - Michael G Fehlings
- Division of Neurosurgery and Spinal Program, Toronto Western Hospital, Toronto, Ontario, Canada
| | - James S Harrop
- Thomas Jefferson University, Jefferson Health System, St Louis, Missouri, USA
| | | | - Ricardo Rodrigues-Pinto
- Spinal Unit (UVM), Department of Orthopaedics, Centro Hospitalar Universitário do Porto EPE, Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar, Porto, Portugal
| | - James Milligan
- Family Medicine, McMaster University, Hamilton, Ontario, Canada
| | | | - Armin Curt
- University Hospital Balgrist, Zürich, Switzerland
| | - Vafa Rahimi-Movaghar
- Academic Department of Neurological Surgery, Sina Trauma and Surgery Research Center, Tehran, Iran
| | - Bizhan Aarabi
- Division of Neurosurgery, University of Maryland Baltimore, Baltimore, Maryland, USA
| | - Timothy F Boerger
- Neurosurgery, Medical College of Wisconsin, Wauwatosa, Wisconsin, USA
| | - Lindsay Tetreault
- Department of Surgery, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University College Cork, Cork, Ireland
| | - Robert Chen
- Neurology, Toronto Western Hospital, Toronto, Ontario, Canada
| | - James D Guest
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, Florida, USA
| | | | | | | | - Angus G K McNair
- Centre for Surgical Research, Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, Avon, UK
- GI Surgery, North Bristol NHS Trust, Bristol, UK
| | - Brian K Kwon
- Department of Orthopaedics, University of British Columbia, Blusson Spinal Cord Center, Vancouver, British Columbia, Canada
| | - Mark R N Kotter
- Department of Clinical Neurosurgery, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, Ann McLaren Laboratory of Regenerative Medicine, Cambridge, UK
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16
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El Khoury M, Mowforth OD, El Khoury A, Partha-Sarathi C, Hirayama Y, Davies BM, Kotter MR. Tremor as a symptom of degenerative cervical myelopathy: a systematic review. Br J Neurosurg 2022; 36:340-345. [PMID: 35132923 DOI: 10.1080/02688697.2022.2033701] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND AO Spine RECODE-DCM (Research objectives and common data elements for degenerative cervical myelopathy) has highlighted that the subjective disability reported by people living with DCM is much broader than routinely considered today by most professionals. This includes a description of tremor. The objective of this review was to study the incidence and possible aetiology of tremor in degenerative cervical myelopathy (DCM). METHODS A systematic review registered in PROSPERO (CRD42020176905) was conducted in Embase and MEDLINE for papers studying tremor and DCM published on or before the 20th of July 2020. All manuscripts describing an association between tremor and DCM in humans were included. Articles relating to non-human animals, and those not available in English were excluded. An analysis was conducted in accordance with PRISMA and SWiM guidelines for systematic reviews. RESULTS Out of a total of 4402 screened abstracts, we identified 7 case reports and series describing tremor in 9 DCM patients. Papers were divided into three groups for the discussion. The first group includes DCM correctly identified on presentation, with tremor as a described symptom. The second group includes cases where DCM was misdiagnosed, often as Parkinson's disease. The third group includes a single case with a previous history of DCM, presenting with an otherwise unexplained tremor. This grouping allows for the clustering of cases supporting various arguments for the association between tremor and DCM. CONCLUSION DCM can be associated with tremor. The current evidence is restricted to case series. Further study is warranted to establish tremor prevalence, and its significance to assessment and management.
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Affiliation(s)
- Marc El Khoury
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Oliver D Mowforth
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Anthony El Khoury
- Southwest Indiana Internal Medicine Residency, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Yuri Hirayama
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Benjamin M Davies
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Mark R Kotter
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Anne McLaren Laboratory for Regenerative Medicine, Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
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Umeria R, Mowforth O, Grodzinski B, Karimi Z, Sadler I, Wood H, Sangeorzan I, Fagan P, Murphy R, McNair A, Davies B. A scoping review of information provided within degenerative cervical myelopathy education resources: Towards enhancing shared decision making. PLoS One 2022; 17:e0268220. [PMID: 35588126 PMCID: PMC9119544 DOI: 10.1371/journal.pone.0268220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 04/25/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Degenerative cervical myelopathy (DCM) is a chronic neurological condition estimated to affect 1 in 50 adults. Due to its diverse impact, trajectory and management options, patient-centred care and shared decision making are essential. In this scoping review, we aim to explore whether information needs in DCM are currently being met in available DCM educational resources. This forms part of a larger Myelopathy.org project to promote shared decision making in DCM. METHODS A search was completed encompassing MEDLINE, Embase and grey literature. Resources relevant to DCM were compiled for analysis. Resources were grouped into 5 information types: scientific literature, videos, organisations, health education websites and patient information leaflets. Resources were then further arranged into a hierarchical framework of domains and subdomains, formed through inductive analysis. Frequency statistics were employed to capture relative popularity as a surrogate marker of potential significance. RESULTS Of 2674 resources, 150 information resources addressing DCM were identified: 115 scientific literature resources, 28 videos, 5 resources from health organisations and 2 resources from health education websites. Surgical management was the domain with the largest number of resources (66.7%, 100/150). The domain with the second largest number of resources was clinical presentation and natural history (28.7%, 43/150). Most resources (83.3%, 125/150) were designed for professionals. A minority (11.3% 17/150) were written for a lay audience or for a combined audience (3.3%, 5/150). CONCLUSION Educational resources for DCM are largely directed at professionals and focus on surgical management. This is at odds with the needs of stakeholders in a lifelong condition that is often managed without surgery, highlighting an unmet educational need.
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Affiliation(s)
- Rishi Umeria
- Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom
| | - Oliver Mowforth
- Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom
- Myelopathy.org, Cambridge, United Kingdom
| | - Ben Grodzinski
- Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom
| | | | | | - Helen Wood
- Myelopathy.org, Cambridge, United Kingdom
| | | | - Petrea Fagan
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Rory Murphy
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona, United States of America
| | - Angus McNair
- Centre for Surgical Research, Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Benjamin Davies
- Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, United Kingdom
- Myelopathy.org, Cambridge, United Kingdom
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18
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Yanez Touzet A, Bhatti A, Dohle E, Bhatti F, Lee KS, Furlan JC, Fehlings MG, Harrop JS, Zipser CM, Rodrigues-Pinto R, Milligan J, Sarewitz E, Curt A, Rahimi-Movaghar V, Aarabi B, Boerger TF, Tetreault L, Chen R, Guest JD, Kalsi-Ryan S, McNair AG, Kotter M, Davies B. Clinical outcome measures and their evidence base in degenerative cervical myelopathy: a systematic review to inform a core measurement set (AO Spine RECODE-DCM). BMJ Open 2022; 12:e057650. [PMID: 35046007 PMCID: PMC8772430 DOI: 10.1136/bmjopen-2021-057650] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/22/2021] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES To evaluate the measurement properties of outcome measures currently used in the assessment of degenerative cervical myelopathy (DCM) for clinical research. DESIGN Systematic review DATA SOURCES: MEDLINE and EMBASE were searched through 4 August 2020. ELIGIBILITY CRITERIA Primary clinical research published in English and whose primary purpose was to evaluate the measurement properties or clinically important differences of instruments used in DCM. DATA EXTRACTION AND SYNTHESIS Psychometric properties and clinically important differences were both extracted from each study, assessed for risk of bias and presented in accordance with the Consensus-based Standards for the selection of health Measurement Instruments criteria. RESULTS Twenty-nine outcome instruments were identified from 52 studies published between 1999 and 2020. They measured neuromuscular function (16 instruments), life impact (five instruments), pain (five instruments) and radiological scoring (five instruments). No instrument had evaluations for all 10 measurement properties and <50% had assessments for all three domains (ie, reliability, validity and responsiveness). There was a paucity of high-quality evidence. Notably, there were no studies that reported on structural validity and no high-quality evidence that discussed content validity. In this context, we identified nine instruments that are interpretable by clinicians: the arm and neck pain scores; the 12-item and 36-item short form health surveys; the Japanese Orthopaedic Association (JOA) score, modified JOA and JOA Cervical Myelopathy Evaluation Questionnaire; the neck disability index; and the visual analogue scale for pain. These include six scores with barriers to application and one score with insufficient criterion and construct validity. CONCLUSIONS This review aggregates studies evaluating outcome measures used to assess patients with DCM. Overall, there is a need for a set of agreed tools to measure outcomes in DCM. These findings will be used to inform the development of a core measurement set as part of AO Spine RECODE-DCM.
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Affiliation(s)
- Alvaro Yanez Touzet
- School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, Manchester, UK
| | - Aniqah Bhatti
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Esmee Dohle
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Faheem Bhatti
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Keng Siang Lee
- Bristol Medical School, Faculty of Health Sciences, University of Bristol, Bristol, UK
| | - Julio C Furlan
- Department of Medicine, Division of Physical Medicine and Rehabilita, University of Toronto, Toronto, Ontario, Canada
- Division of Physical Medicine and Rehabilitation, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
- KITE Research Institute, University Health Network, Toronto, Ontario, Canada
| | - Michael G Fehlings
- Division of Neurosurgery and Spinal Program, Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - James S Harrop
- Thomas Jefferson University, Jefferson Health System, St Louis, Philadelphia, USA
| | - Carl Moritz Zipser
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
| | - Ricardo Rodrigues-Pinto
- Spinal Unit (UVM), Department of Orthopaedics, Centro Hospitalar Universitário do Porto, Porto, Portugal
- Instituto de Ciências Biomédicas Abel Salazar, Porto, Portugal
| | - James Milligan
- Department of Family Medicine, McMaster University, Hamilton, Ontario, Canada
| | | | - Armin Curt
- Spinal Cord Injury Center, Balgrist University Hospital, Zurich, Switzerland
| | - Vafa Rahimi-Movaghar
- Academic Department of Neurological Surgery, Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Tehran, Iran
| | - Bizhan Aarabi
- Division of Neurosurgery, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Timothy F Boerger
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Lindsay Tetreault
- Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Robert Chen
- Toronto Western Hospital, University of Toronto, Toronto, Ontario, Canada
- Krembil Research Institute, Toronto, Ontario, Canada
| | - James D Guest
- Department of Neurological Surgery and The Miami Project to Cure Paralysis, University of Miami Miller School of Medicine, Miami, Florida, USA
| | | | - Angus Gk McNair
- Centre for Surgical Research, Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, Avon, UK
- GI Surgery, North Bristol NHS Trust, Bristol, UK
| | - Mark Kotter
- Department of Clinical Neurosurgery, University of Cambridge, Cambridge, UK
- Department of Clinical Neurosciences, Ann McLaren Laboratory of Regenerative Medicine, Cambridge, UK
| | - Benjamin Davies
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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19
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Bestwick H, Teh JQ, Mowforth O, Grodzinski B, Kotter M, Davies B. Existing Funding Sources in DCM: A Review (Preprint). Interact J Med Res 2022; 11:e36194. [PMID: 35771617 PMCID: PMC9284365 DOI: 10.2196/36194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 04/29/2022] [Accepted: 05/17/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Henry Bestwick
- Clinical School, University of Cambridge, Cambridge, United Kingdom
| | - Jye Quan Teh
- Clinical School, University of Cambridge, Cambridge, United Kingdom
| | - Oliver Mowforth
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, University of Cambridge, Cambridge, United Kingdom
| | - Ben Grodzinski
- Clinical School, University of Cambridge, Cambridge, United Kingdom
| | - Mark Kotter
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, University of Cambridge, Cambridge, United Kingdom
| | - Benjamin Davies
- Academic Neurosurgery Unit, Department of Clinical Neurosurgery, University of Cambridge, Cambridge, United Kingdom
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20
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Partha Sarathi CI, Mowforth OD, Sinha A, Bhatti F, Bhatti A, Akhbari M, Ahmed S, Davies BM. The Role of Nutrition in Degenerative Cervical Myelopathy: A Systematic Review. Nutr Metab Insights 2021; 14:11786388211054664. [PMID: 34733105 PMCID: PMC8558601 DOI: 10.1177/11786388211054664] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 10/03/2021] [Indexed: 01/03/2023] Open
Abstract
Introduction Degenerative cervical myelopathy (DCM) is the commonest cause of adult spinal cord impairment worldwide, encompassing chronic compression of the spinal cord, neurological disability and diminished quality of life. Evidence on the contribution of environmental factors is sparse; in particular, the role of nutrition in DCM is unknown. The objective of this review was to assess the effect of nutrition on DCM susceptibility, severity and surgical outcome. Methods A systematic review in MEDLINE and Embase was conducted following PRISMA guidelines. Full-text papers in English papers, focussing on cervical myelopathy and nutrition, published before January 2020 were considered eligible. Quality assessments were performed using the GRADE assessment tool. Patient demographics, nutritional factor and DCM outcomes measures were recorded. Relationships between nutritional factors, interventions and disease prognosis were assessed. Results In total, 5835 papers were identified of which 44 were included in the final analysis. DCM patients with pathological weight pre-operatively were more likely to see poorer improvements post-surgically. These patients experienced poorer physical and mental health improvements from surgery compared to normal weight patients and were more likely to suffer from post-operative complications such as infection, DVT, PE and hospital readmissions. Two trials reporting benefits of nutritional supplements were identified, with 1 suggesting Cerebrolysin to be significant in functional improvement. An unbalanced diet, history of alcohol abuse and malnourishment were associated with poorer post-operative outcome. Conclusion Although the overall strength of recommendation is low, current evidence suggests nutrition may have a significant role in optimising surgical outcome in DCM patients. Although it may have a role in onset and severity of DCM, this is a preliminary suggestion. Further work needs to be done on how nutrition is defined and measured, however, the beneficial results from studies with nutritional interventions suggest nutrition could be a treatment target in DCM.
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Affiliation(s)
- Celine I Partha Sarathi
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Oliver D Mowforth
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Amil Sinha
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Faheem Bhatti
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Aniqah Bhatti
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Melika Akhbari
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Shahzaib Ahmed
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
| | - Benjamin M Davies
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK
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21
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Grodzinski N, Grodzinski B, Davies BM. Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research. PLoS One 2021; 16:e0256997. [PMID: 34473796 PMCID: PMC8412256 DOI: 10.1371/journal.pone.0256997] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 08/20/2021] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION Degenerative Cervical Myelopathy (DCM) is a common and disabling condition, with a relatively modest research capacity. In order to accelerate knowledge discovery, the AO Spine RECODE-DCM project has recently established the top priorities for DCM research. Uptake of these priorities within the research community will require their effective dissemination, which can be supported by identifying key opinion leaders (KOLs). In this paper, we aim to identify KOLs using artificial intelligence. We produce and explore a DCM co-authorship network, to characterise researchers' impact within the research field. METHODS Through a bibliometric analysis of 1674 scientific papers in the DCM field, a co-authorship network was created. For each author, statistics about their connections to the co-authorship network (and so the nature of their collaboration) were generated. Using these connectedness statistics, a neural network was used to predict H-Index for each author (as a proxy for research impact). The neural network was retrospectively validated on an unseen author set. RESULTS DCM research is regionally clustered, with strong collaboration across some international borders (e.g., North America) but not others (e.g., Western Europe). In retrospective validation, the neural network achieves a correlation coefficient of 0.86 (p<0.0001) between the true and predicted H-Index of each author. Thus, author impact can be accurately predicted using only the nature of an author's collaborations. DISCUSSION Analysis of the neural network shows that the nature of collaboration strongly impacts an author's research visibility, and therefore suitability as a KOL. This also suggests greater collaboration within the DCM field could help to improve both individual research visibility and global synergy.
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Affiliation(s)
- Noah Grodzinski
- St John’s College, University of Cambridge, Cambridge, United Kingdom
| | - Ben Grodzinski
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Benjamin M. Davies
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
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22
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Nylander E, Ramstrand N, Hjort M, Rusaw DF. Development and validation of a sensitive MEDLINE search strategy to identify literature relevant to limb prostheses. Prosthet Orthot Int 2021; 45:289-294. [PMID: 34016871 DOI: 10.1097/pxr.0000000000000019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 03/28/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND Researchers and clinicians may find it challenging to identify relevant articles about limb prostheses in online databases. Searches may be improved by using standardized strategies, also known as filters or hedges. OBJECTIVES To develop and validate a highly sensitive MEDLINE (EBSCOHost) search strategy for limb prostheses. STUDY DESIGN Search strategy development/validation. METHODS A gold standard (GS) list of peer-reviewed articles on the topic of limb prostheses was created using a relative recall method. This involved identifying and including relevant systematic reviews/meta-analyses and then adding articles that were included in the analysis section of these reviews. Possible terms for the search strategy were identified through brainstorming and exploration of medical subject headings in MEDLINE (MeSH) and standards from the International Organization for Standardization (ISO). Concepts were grouped using relevant Boolean operators (e.g. AND and OR) and database record search fields (i.e. MeSH terms, title, and abstract). Part of the GS was used to refine the search strategy and reduce the number of records retrieved in total. The remaining GS set was used to validate and calculate sensitivity of the search strategy. Performance of the search strategy was compared against searches using only relevant MeSH terms. RESULTS After screening, the final GS totaled 853 records. The developed search strategy was highly sensitive (99.80%) and performed with higher relative recall than searches with relevant MeSH terms. CONCLUSIONS This study provides a highly sensitive search strategy that can be used by clinicians and researchers when searching for relevant literature on limb prostheses in MEDLINE (EBSCOHost).
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Affiliation(s)
| | | | - Margareta Hjort
- Jönköping University Library, Jönköping University, Jönköping, Sweden
| | - David F Rusaw
- School of Health and Welfare, Jönköping University, Jönköping, Sweden
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23
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Therapeutic repetitive Transcranial Magnetic stimulation (rTMS) for neurological dysfunction in Degenerative cervical Myelopathy: An unexplored opportunity? Findings from a systematic review. J Clin Neurosci 2021; 90:76-81. [PMID: 34275584 DOI: 10.1016/j.jocn.2021.05.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 05/10/2021] [Indexed: 01/18/2023]
Abstract
Degenerative Cervical Myelopathy (DCM) is one of the commonest causes of non-traumatic Spinal Cord Injury (SCI) leading to significant neurological impairments and reduced health-related quality of life. Guidelines recommend surgical intervention to halt disease progression in moderate-to-severe cases, and whilst many do experience neurological recovery, this is incomplete leading to lifelong disability. A James Lind Alliance (JLA) research priority setting partnership for DCM highlighted novel therapies and rehabilitation as top 10 research priority in DCM. Neurological recovery following decompressive surgery in DCM has been attributed neuroplasticity, and therapies influencing neuroplasticity are of interest. Electrical neuromodulation interventions such as repetitive Transcranial Magnetic Stimulation (rTMS), are being increasingly explored in related fields such as spinal cord injury to improve recovery and symptoms. The aim of this systematic review was to determine the role and efficacy of rTMS as a therapeutic tool in managing neurological dysfunction in DCM. We searched the databases of Medline, EMBASE, CINAHIL and Cochrane Central Register of Controlled Trials (CENTRAL). No studies were identified that had investigated the therapeutic use of rTMS in DCM. A significant number of studies had explored TMS based neurophysiological assessments indicating its role as a screening and prognostication tool in DCM. Post-operative rehabilitation interventions including TMS and non-operative management of DCM is a field which requires further investigation, as required in the AO Spine JLA DCM research priorities. rTMS is a safe neuromodulatory intervention and may have a role in enhancing recovery in DCM. Further research in these fields are required.
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24
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Smith SS, Stewart ME, Davies BM, Kotter MRN. The Prevalence of Asymptomatic and Symptomatic Spinal Cord Compression on Magnetic Resonance Imaging: A Systematic Review and Meta-analysis. Global Spine J 2021; 11:597-607. [PMID: 32677521 PMCID: PMC8119927 DOI: 10.1177/2192568220934496] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
STUDY DESIGN Systematic review and meta-analysis. OBJECTIVES Cervical spinal cord compression (SCC) due to degenerative changes of the spine is a frequent finding on magnetic resonance imaging (MRI). While most people remain asymptomatic, a proportion develop symptoms of degenerative cervical myelopathy (DCM). DCM is an often-progressive neurological disease that can cause quadriplegia. The epidemiology of SCC and DCM is poorly understood. We sought to estimate the prevalence of degenerative cervical SCC and DCM from cross-sectional cohorts undergoing MRI. METHODS We conducted a systematic review and meta-analysis of MRI reports on human subjects older than 16 years with degenerative SCC. A predetermined search strategy was used to identify relevant literature on MEDLINE. Title and abstract screenings were followed by full text screening. Data was extracted and analyzed by fixed or random-effects models. RESULTS The present search returned 1506 publications. Following our exclusion criteria, 19 studies were included. Subgroup analysis of 3786 individuals estimated the prevalence of asymptomatic SCC in a healthy population as 24.2% with a significantly higher prevalence of SCC in older populations compared with younger populations and American/European populations compared with Asian populations. Subgroup analysis of 1202 individuals estimated the prevalence of DCM in a healthy population as 2.3%. CONCLUSIONS We present the first estimates of the prevalence of asymptomatic SCC and DCM. Studies investigating the epidemiology of SCC are heterogeneous in methodology and results. These data indicate the need for more studies into the epidemiology of SCC and DCM performed with consistent methodologies.
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Affiliation(s)
| | | | | | - Mark R. N. Kotter
- University of Cambridge, Cambridge, UK,Mark R. N. Kotter, Department of Clinical
Neurosciences, Anne McLaren Laboratory, University of Cambridge, Cambridge, UK.
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25
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Yu QQ, Liu SQ, Wang JJ, Xu ML, Zhang WX, Cheng LM, Zhu R. Effects of a contusion load on spinal cord with different curvatures. Comput Methods Biomech Biomed Engin 2021; 24:1302-1309. [PMID: 33586540 DOI: 10.1080/10255842.2021.1884232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The cervical spine injury is a complicated procedure in the combination of different injury loads and postures. The aim of this study is to investigate the injury mechanism considering different types of cervical curvatures subjected to contusion loads. A finite element model of a cervical spinal cord was constructed. Gray matter, white matter and pia matter were modeled and hyperelastic material properties were assigned. Convergence analysis and validation analysis were carried out. The model was simulated in 3 different spinal curvatures and loaded by 2 directions with 4 compression degrees. The maximum von Mises stress in the whole model was concentrated in the pia matter in all loading cases. When investigating spinal cord injury, the pia matter must be considered. For all three curvatures, the stress in the gray matter and white matter was higher in front-to-back loading condition than that in back-to-front loading condition. The front-to-back impact may cause a larger damage. A back-to-front load damaged the structure around the central canal and a front-to-back contusion load damaged the anterior horn of the spinal cord at most time. From the view of the maximum stress, the lordotic curvature did not show significant buffering effect. However, the pathological curvature had large areas affected and the lordotic curvature showed some benefits to some degree from the view of stress distribution.
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Affiliation(s)
- Qian-Qian Yu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji University School of Medicine, Shanghai, China.,Department of Structural Engineering, Tongji University, Shanghai, China
| | - Si-Qing Liu
- Department of Structural Engineering, Tongji University, Shanghai, China
| | - Jian-Jie Wang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji University School of Medicine, Shanghai, China
| | - Meng-Lei Xu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji University School of Medicine, Shanghai, China
| | - Wen-Xuan Zhang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji University School of Medicine, Shanghai, China
| | - Li-Ming Cheng
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji University School of Medicine, Shanghai, China
| | - Rui Zhu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Tongji University School of Medicine, Shanghai, China
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26
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Khan DZ, Khan MS, Kotter MR, Davies BM. Tackling Research Inefficiency in Degenerative Cervical Myelopathy: Illustrative Review. JMIR Res Protoc 2020; 9:e15922. [PMID: 32525490 PMCID: PMC7317636 DOI: 10.2196/15922] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 09/23/2019] [Accepted: 09/23/2019] [Indexed: 01/01/2023] Open
Abstract
Background Degenerative cervical myelopathy (DCM) is widely accepted as the most common cause of adult myelopathy worldwide. Despite this, there is no specific term or diagnostic criteria in the International Classification of Diseases 11th Revision and no Medical Subject Headings (MeSH) or an equivalent in common literature databases. This makes searching the literature and thus conducting systematic reviews or meta-analyses imprecise and inefficient. Efficient research synthesis is integral to delivering evidence-based medicine and improving research efficiency. Objective This study aimed to illustrate the difficulties encountered when attempting to carry out a comprehensive and accurate evidence search in the field of DCM by identifying the key sources of imprecision and quantifying their impact. Methods To identify the key sources of imprecision and quantify their impact, an illustrative search strategy was developed using a validated DCM hedge combined with contemporary strategies used by authors in previous systematic reviews and meta-analyses. This strategy was applied to Medical Literature Analysis and Retrieval System Online (MEDLINE) and Excerpta Medica dataBASE (EMBASE) databases looking for relevant DCM systematic reviews and meta-analyses published within the last 5 years. Results The MEDLINE via PubMed search strategy returned 24,166 results, refined to 534 papers after the application of inclusion and exclusion criteria. Of these, 32.96% (176/534) results were about DCM, and 18.16% (97/534) of these were DCM systematic reviews or meta-analyses. Non-DCM results were organized into imprecision categories (spinal: 268/534, 50.2%; nonspinal: 84/534, 15.5%; and nonhuman: 8/534, 1.5%). The largest categories were spinal cord injury (75/534, 13.67%), spinal neoplasms (44/534, 8.24%), infectious diseases of the spine and central nervous system (18/534, 3.37%), and other spinal levels (ie, thoracic, lumbar, and sacral; 18/534, 3.37%). Counterintuitively, the use of human and adult PubMed filters was found to exclude a large number of relevant articles. Searching a second database (EMBASE) added an extra 12 DCM systematic reviews or meta-analyses. Conclusions DCM search strategies face significant imprecision, principally because of overlapping and heterogenous search terms, and inaccurate article indexing. Notably, commonly employed MEDLINE filters, human and adult, reduced search sensitivity, whereas the related articles function and the use of a second database (EMBASE) improved it. Development of a MeSH labeling and a standardized DCM definition would allow comprehensive and specific indexing of DCM literature. This is required to support a more efficient research synthesis.
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Affiliation(s)
- Danyal Zaman Khan
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Muhammad Shuaib Khan
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Mark Rn Kotter
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.,Wellcome Trust and Medical Research Council Cambridge Stem Cell Institute, Anne McLaren Laboratory, University of Cambridge, Cambridge, United Kingdom
| | - Benjamin Marshall Davies
- Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
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27
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Davies BM, Khan DZ, Mowforth OD, McNair AGK, Gronlund T, Kolias AG, Tetreault L, Starkey ML, Sadler I, Sarewitz E, Houlton D, Carter J, Kalsi-Ryan S, Aarabi B, Kwon BK, Kurpad SN, Harrop J, Wilson JR, Grossman R, Curt A, Fehlings MG, Kotter MRN. RE-CODE DCM ( REsearch Objectives and Common Data Elements for Degenerative Cervical Myelopathy): A Consensus Process to Improve Research Efficiency in DCM, Through Establishment of a Standardized Dataset for Clinical Research and the Definition of the Research Priorities. Global Spine J 2019; 9:65S-76S. [PMID: 31157148 PMCID: PMC6512197 DOI: 10.1177/2192568219832855] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
STUDY DESIGN Mixed-method consensus process. OBJECTIVES Degenerative cervical myelopathy (DCM) is a common and disabling condition that arises when mechanical stress damages the spinal cord as a result of degenerative changes in the surrounding spinal structures. RECODE-DCM (REsearch Objectives and Common Data Elements for Degenerative Cervical Myelopathy) aims to improve efficient use of health care resources within the field of DCM by using a multi-stakeholder partnership to define the DCM research priorities, to develop a minimum dataset for DCM clinical studies, and confirm a definition of DCM. METHODS This requires a multi-stakeholder partnership and multiple parallel consensus development processes. It will be conducted via 4 phases, adhering to the guidance set out by the COMET (Core Outcomes in Effectiveness Trials) and JLA (James Lind Alliance) initiatives. Phase 1 will consist of preliminary work to inform online Delphi processes (Phase 2) and a consensus meeting (Phase 3). Following the findings of the consensus meeting, a synthesis of relevant measurement instruments will be compiled and assessed as per the COSMIN (Consensus-based Standards for the Selection of Health Measurement Instruments) criteria, to allow recommendations to be made on how to measure agreed data points. Phase 4 will monitor and promote the use of eventual recommendations. CONCLUSIONS RECODE-DCM sets out to establish for the first time an index term, minimum dataset, and research priorities together. Our aim is to reduce waste of health care resources in the future by using patient priorities to inform the scope of future DCM research activities. The consistent use of a standard dataset in DCM clinical studies, audit, and clinical surveillance will facilitate pooled analysis of future data and, ultimately, a deeper understanding of DCM.
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Affiliation(s)
- Benjamin M Davies
- Academic Neurosurgery Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Danyal Z Khan
- Academic Neurosurgery Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Oliver D Mowforth
- Academic Neurosurgery Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | | | - Toto Gronlund
- James Lind Alliance, National Institute for Health Research, Southampton, UK
| | - Angelos G Kolias
- Academic Neurosurgery Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Lindsay Tetreault
- Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Michelle L Starkey
- Academic Neurosurgery Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | | | | | | | | | - Sukhvinder Kalsi-Ryan
- Toronto Rehabilitation Institute-LC, University Health Network, Toronto, Ontario, Canada
| | | | - Brian K Kwon
- Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - James Harrop
- Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | | | | | - Armin Curt
- Balgrist University Hospital, Zurich, Switzerland
| | - Michael G Fehlings
- Toronto Western Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Mark R N Kotter
- Academic Neurosurgery Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Wellcome Trust & MRC Cambridge Stem Cell Institute, Cambridge, UK
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