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Caswell-Jin JL, Callahan A, Purington N, Han SS, Itakura H, John EM, Blayney DW, Sledge GW, Shah NH, Kurian AW. Treatment and Monitoring Variability in US Metastatic Breast Cancer Care. JCO Clin Cancer Inform 2021; 5:600-614. [PMID: 34043432 DOI: 10.1200/cci.21.00031] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE Treatment and monitoring options for patients with metastatic breast cancer (MBC) are increasing, but little is known about variability in care. We sought to improve understanding of MBC care and its correlates by analyzing real-world claims data using a search engine with a novel query language to enable temporal electronic phenotyping. METHODS Using the Advanced Cohort Engine, we identified 6,180 women who met criteria for having estrogen receptor-positive, human epidermal growth factor receptor 2-negative MBC from IBM MarketScan US insurance claims (2007-2014). We characterized treatment, monitoring, and hospice usage, along with clinical and nonclinical factors affecting care. RESULTS We observed wide variability in treatment modality and monitoring across patients and geography. Most women received first-recorded therapy with endocrine (67%) versus chemotherapy, underwent more computed tomography (CT) (76%) than positron emission tomography-CT, and were monitored using tumor markers (58%). Nearly half (46%) met criteria for aggressive disease, which were associated with receiving chemotherapy first, monitoring primarily with CT, and more frequent imaging. Older age was associated with endocrine therapy first, less frequent imaging, and less use of tumor markers. After controlling for clinical factors, care strategies varied significantly by nonclinical factors (median regional income with first-recorded therapy and imaging type, geographic region with these and with imaging frequency and use of tumor markers; P < .0001). CONCLUSION Variability in US MBC care is explained by patient and disease factors and by nonclinical factors such as geographic region, suggesting that treatment decisions are influenced by local practice patterns and/or resources. A search engine designed to express complex electronic phenotypes from longitudinal patient records enables the identification of variability in patient care, helping to define disparities and areas for improvement.
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Affiliation(s)
| | - Alison Callahan
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Natasha Purington
- Department of Medicine, Stanford University School of Medicine, Stanford, CA.,Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - Summer S Han
- Department of Medicine, Stanford University School of Medicine, Stanford, CA.,Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - Haruka Itakura
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Esther M John
- Department of Medicine, Stanford University School of Medicine, Stanford, CA.,Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA
| | - Douglas W Blayney
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - George W Sledge
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Nigam H Shah
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Allison W Kurian
- Department of Medicine, Stanford University School of Medicine, Stanford, CA.,Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA
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Burroni L, Chiti A. PET/CT in senior patients: "cui prodest?". Eur J Nucl Med Mol Imaging 2020; 48:661-663. [PMID: 32840667 DOI: 10.1007/s00259-020-05010-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Luca Burroni
- Department of Nuclear Medicine, "Ospedali Riuniti di Torrette" Hospital, Via Conca 71, 60126 Ancona, Italy.
| | - Arturo Chiti
- Humanitas Clinical and Research Center-IRCCS, Via Manzoni 56, 20089, Rozzano, Milan, Italy.,Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy
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Benchimol EI, Smeeth L, Guttmann A, Harron K, Moher D, Petersen I, Sørensen HT, Januel JM, von Elm E, Langan SM. La déclaration RECORD (Reporting of Studies Conducted Using Observational Routinely Collected Health Data) : directives pour la communication des études réalisées à partir de données de santé collectées en routine. CMAJ 2019; 191:E216-E230. [PMID: 30803952 PMCID: PMC6389451 DOI: 10.1503/cmaj.181309] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Affiliation(s)
- Eric I Benchimol
- Institut de recherche du Centre hospitalier pour enfants de l'est de l'Ontario (Benchimol) ; Département de pédiatrie (Benchimol), Université d'Ottawa ; École d'épidémiologie et de santé publique (Benchimol, Moher), Université d'Ottawa, Ottawa, Ont. ; ICES (Benchimol, Guttmann), Toronto, Ont. ; London School of Hygiene and Tropical Medicine (Smeeth, Harron, Langan), Londres, Royaume-Uni ; Department of Paediatrics (Guttmann), The Hospital for Sick Children; Institute of Health Policy, Management and Evaluation (Guttmann), University of Toronto, Toronto, Ont. ; Institut de recherche de l'Hôpital d'Ottawa (Moher), Ottawa, Ont. ; Département de soins primaires et santé publique (Petersen), University College London, Londres, Royaume-Uni ; Département d'épidémiologie clinique (Sørensen), université d'Aarhus, Aarhus, Danemark ; Management des organisations de santé (EA 7348 MOS) (Januel), Institut du Management, École des hautes études en santé publique, Rennes, France ; Chaire d'excellence en Management de la santé (Januel), Université Sorbonne Paris Cité, Paris, France ; Cochrane Suisse (von Elm), Institut universitaire de médecine sociale et préventive, Université de Lausanne, Lausanne, Suisse
| | - Liam Smeeth
- Institut de recherche du Centre hospitalier pour enfants de l'est de l'Ontario (Benchimol) ; Département de pédiatrie (Benchimol), Université d'Ottawa ; École d'épidémiologie et de santé publique (Benchimol, Moher), Université d'Ottawa, Ottawa, Ont. ; ICES (Benchimol, Guttmann), Toronto, Ont. ; London School of Hygiene and Tropical Medicine (Smeeth, Harron, Langan), Londres, Royaume-Uni ; Department of Paediatrics (Guttmann), The Hospital for Sick Children; Institute of Health Policy, Management and Evaluation (Guttmann), University of Toronto, Toronto, Ont. ; Institut de recherche de l'Hôpital d'Ottawa (Moher), Ottawa, Ont. ; Département de soins primaires et santé publique (Petersen), University College London, Londres, Royaume-Uni ; Département d'épidémiologie clinique (Sørensen), université d'Aarhus, Aarhus, Danemark ; Management des organisations de santé (EA 7348 MOS) (Januel), Institut du Management, École des hautes études en santé publique, Rennes, France ; Chaire d'excellence en Management de la santé (Januel), Université Sorbonne Paris Cité, Paris, France ; Cochrane Suisse (von Elm), Institut universitaire de médecine sociale et préventive, Université de Lausanne, Lausanne, Suisse
| | - Astrid Guttmann
- Institut de recherche du Centre hospitalier pour enfants de l'est de l'Ontario (Benchimol) ; Département de pédiatrie (Benchimol), Université d'Ottawa ; École d'épidémiologie et de santé publique (Benchimol, Moher), Université d'Ottawa, Ottawa, Ont. ; ICES (Benchimol, Guttmann), Toronto, Ont. ; London School of Hygiene and Tropical Medicine (Smeeth, Harron, Langan), Londres, Royaume-Uni ; Department of Paediatrics (Guttmann), The Hospital for Sick Children; Institute of Health Policy, Management and Evaluation (Guttmann), University of Toronto, Toronto, Ont. ; Institut de recherche de l'Hôpital d'Ottawa (Moher), Ottawa, Ont. ; Département de soins primaires et santé publique (Petersen), University College London, Londres, Royaume-Uni ; Département d'épidémiologie clinique (Sørensen), université d'Aarhus, Aarhus, Danemark ; Management des organisations de santé (EA 7348 MOS) (Januel), Institut du Management, École des hautes études en santé publique, Rennes, France ; Chaire d'excellence en Management de la santé (Januel), Université Sorbonne Paris Cité, Paris, France ; Cochrane Suisse (von Elm), Institut universitaire de médecine sociale et préventive, Université de Lausanne, Lausanne, Suisse
| | - Katie Harron
- Institut de recherche du Centre hospitalier pour enfants de l'est de l'Ontario (Benchimol) ; Département de pédiatrie (Benchimol), Université d'Ottawa ; École d'épidémiologie et de santé publique (Benchimol, Moher), Université d'Ottawa, Ottawa, Ont. ; ICES (Benchimol, Guttmann), Toronto, Ont. ; London School of Hygiene and Tropical Medicine (Smeeth, Harron, Langan), Londres, Royaume-Uni ; Department of Paediatrics (Guttmann), The Hospital for Sick Children; Institute of Health Policy, Management and Evaluation (Guttmann), University of Toronto, Toronto, Ont. ; Institut de recherche de l'Hôpital d'Ottawa (Moher), Ottawa, Ont. ; Département de soins primaires et santé publique (Petersen), University College London, Londres, Royaume-Uni ; Département d'épidémiologie clinique (Sørensen), université d'Aarhus, Aarhus, Danemark ; Management des organisations de santé (EA 7348 MOS) (Januel), Institut du Management, École des hautes études en santé publique, Rennes, France ; Chaire d'excellence en Management de la santé (Januel), Université Sorbonne Paris Cité, Paris, France ; Cochrane Suisse (von Elm), Institut universitaire de médecine sociale et préventive, Université de Lausanne, Lausanne, Suisse
| | - David Moher
- Institut de recherche du Centre hospitalier pour enfants de l'est de l'Ontario (Benchimol) ; Département de pédiatrie (Benchimol), Université d'Ottawa ; École d'épidémiologie et de santé publique (Benchimol, Moher), Université d'Ottawa, Ottawa, Ont. ; ICES (Benchimol, Guttmann), Toronto, Ont. ; London School of Hygiene and Tropical Medicine (Smeeth, Harron, Langan), Londres, Royaume-Uni ; Department of Paediatrics (Guttmann), The Hospital for Sick Children; Institute of Health Policy, Management and Evaluation (Guttmann), University of Toronto, Toronto, Ont. ; Institut de recherche de l'Hôpital d'Ottawa (Moher), Ottawa, Ont. ; Département de soins primaires et santé publique (Petersen), University College London, Londres, Royaume-Uni ; Département d'épidémiologie clinique (Sørensen), université d'Aarhus, Aarhus, Danemark ; Management des organisations de santé (EA 7348 MOS) (Januel), Institut du Management, École des hautes études en santé publique, Rennes, France ; Chaire d'excellence en Management de la santé (Januel), Université Sorbonne Paris Cité, Paris, France ; Cochrane Suisse (von Elm), Institut universitaire de médecine sociale et préventive, Université de Lausanne, Lausanne, Suisse
| | - Irene Petersen
- Institut de recherche du Centre hospitalier pour enfants de l'est de l'Ontario (Benchimol) ; Département de pédiatrie (Benchimol), Université d'Ottawa ; École d'épidémiologie et de santé publique (Benchimol, Moher), Université d'Ottawa, Ottawa, Ont. ; ICES (Benchimol, Guttmann), Toronto, Ont. ; London School of Hygiene and Tropical Medicine (Smeeth, Harron, Langan), Londres, Royaume-Uni ; Department of Paediatrics (Guttmann), The Hospital for Sick Children; Institute of Health Policy, Management and Evaluation (Guttmann), University of Toronto, Toronto, Ont. ; Institut de recherche de l'Hôpital d'Ottawa (Moher), Ottawa, Ont. ; Département de soins primaires et santé publique (Petersen), University College London, Londres, Royaume-Uni ; Département d'épidémiologie clinique (Sørensen), université d'Aarhus, Aarhus, Danemark ; Management des organisations de santé (EA 7348 MOS) (Januel), Institut du Management, École des hautes études en santé publique, Rennes, France ; Chaire d'excellence en Management de la santé (Januel), Université Sorbonne Paris Cité, Paris, France ; Cochrane Suisse (von Elm), Institut universitaire de médecine sociale et préventive, Université de Lausanne, Lausanne, Suisse
| | - Henrik T Sørensen
- Institut de recherche du Centre hospitalier pour enfants de l'est de l'Ontario (Benchimol) ; Département de pédiatrie (Benchimol), Université d'Ottawa ; École d'épidémiologie et de santé publique (Benchimol, Moher), Université d'Ottawa, Ottawa, Ont. ; ICES (Benchimol, Guttmann), Toronto, Ont. ; London School of Hygiene and Tropical Medicine (Smeeth, Harron, Langan), Londres, Royaume-Uni ; Department of Paediatrics (Guttmann), The Hospital for Sick Children; Institute of Health Policy, Management and Evaluation (Guttmann), University of Toronto, Toronto, Ont. ; Institut de recherche de l'Hôpital d'Ottawa (Moher), Ottawa, Ont. ; Département de soins primaires et santé publique (Petersen), University College London, Londres, Royaume-Uni ; Département d'épidémiologie clinique (Sørensen), université d'Aarhus, Aarhus, Danemark ; Management des organisations de santé (EA 7348 MOS) (Januel), Institut du Management, École des hautes études en santé publique, Rennes, France ; Chaire d'excellence en Management de la santé (Januel), Université Sorbonne Paris Cité, Paris, France ; Cochrane Suisse (von Elm), Institut universitaire de médecine sociale et préventive, Université de Lausanne, Lausanne, Suisse
| | - Jean-Marie Januel
- Institut de recherche du Centre hospitalier pour enfants de l'est de l'Ontario (Benchimol) ; Département de pédiatrie (Benchimol), Université d'Ottawa ; École d'épidémiologie et de santé publique (Benchimol, Moher), Université d'Ottawa, Ottawa, Ont. ; ICES (Benchimol, Guttmann), Toronto, Ont. ; London School of Hygiene and Tropical Medicine (Smeeth, Harron, Langan), Londres, Royaume-Uni ; Department of Paediatrics (Guttmann), The Hospital for Sick Children; Institute of Health Policy, Management and Evaluation (Guttmann), University of Toronto, Toronto, Ont. ; Institut de recherche de l'Hôpital d'Ottawa (Moher), Ottawa, Ont. ; Département de soins primaires et santé publique (Petersen), University College London, Londres, Royaume-Uni ; Département d'épidémiologie clinique (Sørensen), université d'Aarhus, Aarhus, Danemark ; Management des organisations de santé (EA 7348 MOS) (Januel), Institut du Management, École des hautes études en santé publique, Rennes, France ; Chaire d'excellence en Management de la santé (Januel), Université Sorbonne Paris Cité, Paris, France ; Cochrane Suisse (von Elm), Institut universitaire de médecine sociale et préventive, Université de Lausanne, Lausanne, Suisse
| | - Erik von Elm
- Institut de recherche du Centre hospitalier pour enfants de l'est de l'Ontario (Benchimol) ; Département de pédiatrie (Benchimol), Université d'Ottawa ; École d'épidémiologie et de santé publique (Benchimol, Moher), Université d'Ottawa, Ottawa, Ont. ; ICES (Benchimol, Guttmann), Toronto, Ont. ; London School of Hygiene and Tropical Medicine (Smeeth, Harron, Langan), Londres, Royaume-Uni ; Department of Paediatrics (Guttmann), The Hospital for Sick Children; Institute of Health Policy, Management and Evaluation (Guttmann), University of Toronto, Toronto, Ont. ; Institut de recherche de l'Hôpital d'Ottawa (Moher), Ottawa, Ont. ; Département de soins primaires et santé publique (Petersen), University College London, Londres, Royaume-Uni ; Département d'épidémiologie clinique (Sørensen), université d'Aarhus, Aarhus, Danemark ; Management des organisations de santé (EA 7348 MOS) (Januel), Institut du Management, École des hautes études en santé publique, Rennes, France ; Chaire d'excellence en Management de la santé (Januel), Université Sorbonne Paris Cité, Paris, France ; Cochrane Suisse (von Elm), Institut universitaire de médecine sociale et préventive, Université de Lausanne, Lausanne, Suisse
| | - Sinéad M Langan
- Institut de recherche du Centre hospitalier pour enfants de l'est de l'Ontario (Benchimol) ; Département de pédiatrie (Benchimol), Université d'Ottawa ; École d'épidémiologie et de santé publique (Benchimol, Moher), Université d'Ottawa, Ottawa, Ont. ; ICES (Benchimol, Guttmann), Toronto, Ont. ; London School of Hygiene and Tropical Medicine (Smeeth, Harron, Langan), Londres, Royaume-Uni ; Department of Paediatrics (Guttmann), The Hospital for Sick Children; Institute of Health Policy, Management and Evaluation (Guttmann), University of Toronto, Toronto, Ont. ; Institut de recherche de l'Hôpital d'Ottawa (Moher), Ottawa, Ont. ; Département de soins primaires et santé publique (Petersen), University College London, Londres, Royaume-Uni ; Département d'épidémiologie clinique (Sørensen), université d'Aarhus, Aarhus, Danemark ; Management des organisations de santé (EA 7348 MOS) (Januel), Institut du Management, École des hautes études en santé publique, Rennes, France ; Chaire d'excellence en Management de la santé (Januel), Université Sorbonne Paris Cité, Paris, France ; Cochrane Suisse (von Elm), Institut universitaire de médecine sociale et préventive, Université de Lausanne, Lausanne, Suisse
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Harris JP, Nwachukwu C, Qian Y, Pollom E, Loo BW, Das M, Diehn M. Invasive nodal evaluation prior to stereotactic ablative radiation for non-small cell lung cancer. Lung Cancer 2018; 124:76-85. [DOI: 10.1016/j.lungcan.2018.07.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 06/04/2018] [Accepted: 07/22/2018] [Indexed: 12/25/2022]
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Hughes DR. Can You Do Health Disparities Research with Publicly Available Datasets? Acad Radiol 2018; 25:552-555. [PMID: 29352641 DOI: 10.1016/j.acra.2017.06.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 06/22/2017] [Accepted: 06/22/2017] [Indexed: 10/18/2022]
Abstract
RATIONALE AND OBJECTIVES Given the growing importance of identifying and reducing health disparities, it is important for radiologist researchers to engage in this space to promote evidence-based imaging disparities policy. However, researchers are often hindered by access to appropriate data to perform quality research. MATERIALS AND METHODS This paper reviews existing publicly available data sets that may be useful for performing imaging disparities research. RESULTS Multiple data sources are publicly available and have been used by previous researchers to examine imaging disparities. CONCLUSIONS This paper provides an overview of publicly available data sources that radiologists can use for imaging disparities research. Appropriate use of these data sources will require researchers to carefully consider the overall research question and level of analysis.
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Piker EG, Schulz K, Parham K, Vambutas A, Witsell D, Tucci D, Shin JJ, Pynnonen MA, Nguyen-Huynh A, Crowson M, Ryan SE, Langman A, Roberts R, Wolfley A, Lee WT. Variation in the Use of Vestibular Diagnostic Testing for Patients Presenting to Otolaryngology Clinics with Dizziness. Otolaryngol Head Neck Surg 2017; 155:42-7. [PMID: 27371625 DOI: 10.1177/0194599816650173] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 04/26/2016] [Indexed: 11/15/2022]
Abstract
OBJECTIVE We used a national otolaryngology practice-based research network database to characterize the utilization of vestibular function testing in patients diagnosed with dizziness and/or a vestibular disorder. STUDY DESIGN Database review. SETTING The Creating Healthcare Excellence through Education and Research (CHEER) practice-based research network of academic and community providers SUBJECTS AND METHODS Dizzy patients in the CHEER retrospective database were identified through ICD-9 codes; vestibular testing procedures were identified with CPT codes. Demographics and procedures per patient were tabulated. Analysis included number and type of vestibular tests ordered, stratified by individual clinic and by practice type (community vs academic). Chi-square tests were performed to assess if the percentage of patients receiving testing was statistically significant across clinics. A logistic regression model was used to examine the association between receipt of testing and being tested on initial visit. RESULTS A total of 12,468 patients diagnosed with dizziness and/or a vestibular disorder were identified from 7 community and 5 academic CHEER network clinics across the country. One-fifth of these patients had at least 1 vestibular function test. The percentage of patients tested varied widely by site, from 3% to 72%; academic clinics were twice as likely to test. Initial visit vestibular testing also varied, from 0% to 96% of dizzy patients, and was 15 times more likely in academic clinics. CONCLUSION There is significant variation in use and timing of vestibular diagnostic testing across otolaryngology clinics. The CHEER network research database does not contain outcome data. These results illustrate the critical need for research that examines outcomes as related to vestibular testing.
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Affiliation(s)
- Erin G Piker
- Division of Head and Neck Surgery and Communication Sciences, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Kris Schulz
- Division of Head and Neck Surgery and Communication Sciences, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Kourosh Parham
- Division of Otolaryngology-Head and Neck Surgery, Department of Surgery, University of Connecticut Health, Farmington, Connecticut, USA
| | - Andrea Vambutas
- Department of Otolaryngology, Hofstra North Shore-LIJ School of Medicine, Long Island Jewish Medical Center, New Hyde Park, New York, USA
| | - David Witsell
- Division of Head and Neck Surgery and Communication Sciences, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Debara Tucci
- Division of Head and Neck Surgery and Communication Sciences, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Jennifer J Shin
- Division of Otolaryngology, Harvard Medical School, Boston, Massachusetts, USA
| | - Melissa A Pynnonen
- Department of Otolaryngology, University of Michigan, Ann Arbor, Michigan, USA
| | - Anh Nguyen-Huynh
- Department of Otolaryngology-Head and Neck Surgery, Oregon Health & Science University, Portland, Oregon, USA
| | - Matthew Crowson
- Division of Head and Neck Surgery and Communication Sciences, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Sheila E Ryan
- Division of Head and Neck Surgery and Communication Sciences, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Alan Langman
- Northwest Hearing & Balance Group, Seattle, Washington, USA
| | - Rhonda Roberts
- Duke Clinical Research Institute, Durham, North Carolina, USA
| | - Anne Wolfley
- Duke Clinical Research Institute, Durham, North Carolina, USA
| | - Walter T Lee
- Division of Head and Neck Surgery and Communication Sciences, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
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Benchimol EI, Smeeth L, Guttmann A, Harron K, Hemkens LG, Moher D, Petersen I, Sørensen HT, von Elm E, Langan SM. [The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement]. ZEITSCHRIFT FUR EVIDENZ FORTBILDUNG UND QUALITAET IM GESUNDHEITSWESEN 2016; 115-116:33-48. [PMID: 27837958 PMCID: PMC5330542 DOI: 10.1016/j.zefq.2016.07.010] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Accepted: 07/18/2016] [Indexed: 12/17/2022]
Abstract
Zunehmend werden routinemäßig gesammelte Gesundheitsdaten, die zu administrativen und klinischen Zwecken und ohne spezifische, a priori festgelegte Forschungsziele erhoben wurden, auch für die Forschung eingesetzt. Die rasche Entwicklung und Verfügbarkeit dieser Daten machten Probleme deutlich, die in den bestehenden Berichts-Leitlinien, wie dem STROBE-Statement (Strengthening the Reporting of Observational Studies in Epidemiology) nicht behandelt werden. Das RECORD-Statement (REporting of studies Conducted using Observational Routinely-collected health Data) wurde entwickelt, um diese Lücken zu schließen. RECORD ist als Erweiterung des STROBE-Statements gedacht, um Punkte abzudecken, die spezifisch sind beim Berichten von Beobachtungsstudien, die routinemäßig gesammelte Gesundheitsdaten verwenden. RECORD besteht aus einer Checkliste von 13 Punkten mit Bezug zu Titel, Abstract, Einleitung, Methoden-, Ergebnis- und Diskussionsteil von Artikeln sowie zu anderen Informationen, die in Forschungsberichten dieser Art enthalten sein sollten. Dieses Dokument enthält die Checkliste sowie Erläuterungen und weitere Erklärungen, um die Verwendung der Checkliste zu verbessern. Beispiele für ein gutes Berichten der einzelnen Punkte der RECORD-Checkliste sind ebenfalls in diesem Dokument enthalten. Dieses Dokument sowie die zugehörige Website und ein Forum (http://www.record-statement.org) werden die Umsetzung und das Verständnis von RECORD verbessern. Autoren, Redakteure von Fachzeitschriften und Peer-Reviewer können die Transparenz beim Berichten von Forschungsergebnissen erhöhen, indem sie RECORD anwenden.
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Affiliation(s)
- Eric I Benchimol
- Children's Hospital of Eastern Ontario Research Institute, Department of Pediatrics and School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Canada; Institute for Clinical Evaluative Sciences, Toronto, Canada.
| | - Liam Smeeth
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Astrid Guttmann
- Institute for Clinical Evaluative Sciences, Toronto, Canada; Hospital for Sick Children, Department of Paediatrics and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | - Katie Harron
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Lars G Hemkens
- Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Switzerland
| | - David Moher
- Ottawa Hospital Research Institute, Ottawa, Canada, and School of Epidemiology, Public Health and Preventative Medicine, University of Ottawa, Ottawa, Canada
| | - Irene Petersen
- Department of Primary Care and Population Health, University College London (UCL), London, United Kingdom
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
| | - Erik von Elm
- Cochrane Switzerland, Institute of Social and Preventive Medicine, University Medical Centre Lausanne, Lausanne, Switzerland
| | - Sinéad M Langan
- London School of Hygiene and Tropical Medicine, London, United Kingdom.
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Erb CT, Su KW, Soulos PR, Tanoue LT, Gross CP. Surveillance Practice Patterns after Curative Intent Therapy for Stage I Non-Small-Cell Lung Cancer in the Medicare Population. Lung Cancer 2016; 99:200-7. [PMID: 27565940 PMCID: PMC5003420 DOI: 10.1016/j.lungcan.2016.07.017] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2016] [Revised: 06/24/2016] [Accepted: 07/17/2016] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Recurrence after treatment for non-small cell lung cancer (NSCLC) is common, and routine imaging surveillance is recommended by evidence-based guidelines. Little is known about surveillance patterns after curative intent therapy for early stage NSCLC. We sought to understand recent practice patterns for surveillance of stage I NSCLC in the first two years after curative intent therapy in the Medicare population. MATERIALS AND METHODS Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database we selected patients diagnosed with stage I NSCLC between 1998 and 2008. We studied adherence to surveillance guidelines based on specialty society recommendations for chest radiography and computed tomography (CT) scanning. We also tracked the use of Positron Emission Tomography (PET) scans, which are not recommended for surveillance. We calculated the percent of patients who received guideline-adherent surveillance imaging and used logistic regression to determine associations between patient and provider factors and guideline adherence. RESULTS Overall, 61.4% of patients received guideline-adherent surveillance during the initial 2 years after treatment. Use of CT scans in the first year after treatment increased from 47.4% in 1998-78.5% in 2008, and PET use increased from 5.8% to 28.9%. Adherence with surveillance imaging was associated with younger age, higher income, more comorbidities, access to primary care, and receipt of SBRT as the primary treatment. CONCLUSIONS Adherence to specialty society guidelines for surveillance after treatment for stage I NSCLC was poor in this population of Medicare beneficiaries, with less than two-thirds of patients receiving recommended imaging, and almost 30% receiving non-recommended PET scans.
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Affiliation(s)
- Christopher T Erb
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States
| | - Kevin W Su
- Yale University School of Medicine, New Haven, CT, United States
| | - Pamela R Soulos
- Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, Yale Cancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, New Haven, CT, United States
| | - Lynn T Tanoue
- Section of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States
| | - Cary P Gross
- Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, Yale Cancer Outcomes, Public Policy and Effectiveness Research (COPPER) Center, New Haven, CT, United States.
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9
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Loggers ET, Buist DSM, Gold LS, Zeliadt S, Hunter Merrill R, Etzioni R, Ramsey SD, Sullivan SD, Kessler L. Advanced Imaging and Receipt of Guideline Concordant Care in Women with Early Stage Breast Cancer. Int J Breast Cancer 2016; 2016:2182985. [PMID: 27525122 PMCID: PMC4976155 DOI: 10.1155/2016/2182985] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Accepted: 05/18/2016] [Indexed: 11/17/2022] Open
Abstract
Objective. It is unknown whether advanced imaging (AI) is associated with higher quality breast cancer (BC) care. Materials and Methods. Claims and Surveillance Epidemiology and End Results data were linked for women diagnosed with incident stage I-III BC between 2002 and 2008 in western Washington State. We examined receipt of preoperative breast magnetic resonance imaging (MRI) or AI (defined as computed tomography [CT]/positron emission tomography [PET]/PET/CT) versus mammogram and/or ultrasound (M-US) alone and receipt of guideline concordant care (GCC) using multivariable logistic regression. Results. Of 5247 women, 67% received M-US, 23% MRI, 8% CT, and 3% PET/PET-CT. In 2002, 5% received MRI and 5% AI compared to 45% and 12%, respectively, in 2008. 79% received GCC, but GCC declined over time and was associated with younger age, urban residence, less comorbidity, shorter time from diagnosis to surgery, and earlier year of diagnosis. Breast MRI was associated with GCC for lumpectomy plus radiation therapy (RT) (OR 1.55, 95% CI 1.08-2.26, and p = 0.02) and AI was associated with GCC for adjuvant chemotherapy for estrogen-receptor positive (ER+) BC (OR 1.74, 95% CI 1.17-2.59, and p = 0.01). Conclusion. GCC was associated with prior receipt of breast MRI and AI for lumpectomy plus RT and adjuvant chemotherapy for ER+ BC, respectively.
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Affiliation(s)
| | - Diana S. M. Buist
- Group Health Research Institute, Group Health Cooperative, Seattle, WA 98101, USA
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Department of Health Services, School of Public Health, University of Washington, Seattle, WA 98195, USA
| | - Laura S. Gold
- Pharmaceutical Outcomes Research and Policy Program, School of Pharmacy, University of Washington, Seattle, WA 98195, USA
| | - Steven Zeliadt
- Department of Health Services, School of Public Health, University of Washington, Seattle, WA 98195, USA
- Health Services Research and Development, Department of Veterans Affairs, Puget Sound Health Care System, Seattle, WA 98174, USA
| | - Rachel Hunter Merrill
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Ruth Etzioni
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Department of Health Services, School of Public Health, University of Washington, Seattle, WA 98195, USA
| | - Scott D. Ramsey
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Pharmaceutical Outcomes Research and Policy Program, School of Pharmacy, University of Washington, Seattle, WA 98195, USA
| | - Sean D. Sullivan
- Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
- Department of Health Services, School of Public Health, University of Washington, Seattle, WA 98195, USA
- Pharmaceutical Outcomes Research and Policy Program, School of Pharmacy, University of Washington, Seattle, WA 98195, USA
| | - Larry Kessler
- Department of Health Services, School of Public Health, University of Washington, Seattle, WA 98195, USA
- Pharmaceutical Outcomes Research and Policy Program, School of Pharmacy, University of Washington, Seattle, WA 98195, USA
- Health Services Research and Development, Department of Veterans Affairs, Puget Sound Health Care System, Seattle, WA 98174, USA
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10
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Veenstra CM, Vachani A, Ciunci CA, Zafar HM, Epstein AJ, Paulson EC. Trends in the Use of (18)F-Fluorodeoxyglucose PET Imaging in Surveillance of Non-Small-Cell Lung and Colorectal Cancer. J Am Coll Radiol 2016; 13:491-6. [PMID: 26774883 PMCID: PMC6750770 DOI: 10.1016/j.jacr.2015.11.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2015] [Revised: 11/09/2015] [Accepted: 11/14/2015] [Indexed: 11/18/2022]
Abstract
PURPOSE Surveillance PET after curative-intent treatment of non-small-cell lung cancer (NSCLC) or colorectal cancer (CRC) is not clearly supported by available evidence or the Choosing Wisely campaign. However, the frequency of PET imaging during the surveillance period is relatively unknown. METHODS Using Surveillance, Epidemiology, and End Results-Medicare data, 65,748 patients aged 66 years or older who were diagnosed with stage I to IIIA NSCLC or stage I to III CRC from 2001 through 2009 and who underwent surgical resection were identified. Trends in "any PET" or "PET-only" use 6 to 18 months postoperatively were assessed. RESULTS Any PET use more than doubled over the study period. Eleven percent of patients with NSCLC and 4% of those with CRC diagnosed in 2001 received any PET, compared with 25% of patients with NSCLC and 13% of those with CRC in 2009 (P < .001 for both). Higher stage disease was correlated with higher PET utilization and faster growth in use over the study period. PET-only use also increased over the study period, especially in higher stage disease. Fewer than 2% of patients diagnosed with stage IIIA NSCLC in 2001 received PET only, compared with 15% of patients diagnosed in 2009 (P = .014). Similarly, 1% of patients diagnosed with stage III CRC in 2001 received PET only, compared with 8% of patients diagnosed in 2009 (P < .001). CONCLUSIONS PET utilization during the surveillance period increased between 2001 and 2009. Further research is needed to determine the factors driving use of surveillance PET and to examine relationships between PET and patient outcomes.
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Affiliation(s)
- Christine M Veenstra
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan.
| | - Anil Vachani
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Philadelphia VA Medical Center, Philadelphia, Pennsylvania
| | - Christine A Ciunci
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Hanna M Zafar
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Andrew J Epstein
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania; Philadelphia VA Medical Center, Philadelphia, Pennsylvania
| | - E Carter Paulson
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania; Philadelphia VA Medical Center, Philadelphia, Pennsylvania; Division of Colon and Rectal Surgery, University of Pennsylvania, Philadelphia, Pennsylvania
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11
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Benchimol EI, Smeeth L, Guttmann A, Harron K, Moher D, Petersen I, Sørensen HT, von Elm E, Langan SM. The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. PLoS Med 2015; 12:e1001885. [PMID: 26440803 PMCID: PMC4595218 DOI: 10.1371/journal.pmed.1001885] [Citation(s) in RCA: 2778] [Impact Index Per Article: 308.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Routinely collected health data, obtained for administrative and clinical purposes without specific a priori research goals, are increasingly used for research. The rapid evolution and availability of these data have revealed issues not addressed by existing reporting guidelines, such as Strengthening the Reporting of Observational Studies in Epidemiology (STROBE). The REporting of studies Conducted using Observational Routinely collected health Data (RECORD) statement was created to fill these gaps. RECORD was created as an extension to the STROBE statement to address reporting items specific to observational studies using routinely collected health data. RECORD consists of a checklist of 13 items related to the title, abstract, introduction, methods, results, and discussion section of articles, and other information required for inclusion in such research reports. This document contains the checklist and explanatory and elaboration information to enhance the use of the checklist. Examples of good reporting for each RECORD checklist item are also included herein. This document, as well as the accompanying website and message board (http://www.record-statement.org), will enhance the implementation and understanding of RECORD. Through implementation of RECORD, authors, journals editors, and peer reviewers can encourage transparency of research reporting.
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Affiliation(s)
- Eric I. Benchimol
- Children’s Hospital of Eastern Ontario Research Institute, Department of Pediatrics and School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Canada
| | - Liam Smeeth
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Astrid Guttmann
- Institute for Clinical Evaluative Sciences, Toronto, Canada
- Hospital for Sick Children, Department of Paediatrics and Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | - Katie Harron
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - David Moher
- Ottawa Hospital Research Institute, Ottawa, Canada, and School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, Canada
| | - Irene Petersen
- Department of Primary Care and Population Health, University College London, London, United Kingdom
| | | | - Erik von Elm
- Cochrane Switzerland, Institute of Social and Preventive Medicine, University of Lausanne, Lausanne, Switzerland
| | - Sinéad M. Langan
- London School of Hygiene and Tropical Medicine, London, United Kingdom
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12
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Liu TW, Hung YN, Soong TC, Tang ST. Increasing Receipt of High-Tech/High-Cost Imaging and Its Determinants in the Last Month of Taiwanese Patients With Metastatic Cancer, 2001-2010: A Retrospective Cohort Study. Medicine (Baltimore) 2015; 94:e1354. [PMID: 26266390 PMCID: PMC4616695 DOI: 10.1097/md.0000000000001354] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Revised: 07/04/2015] [Accepted: 07/07/2015] [Indexed: 11/26/2022] Open
Abstract
One strategy for controlling the skyrocketing costs of cancer care may be to target high-tech/high-cost imaging at the end of life (EOL). This population-based study investigated receipt of high-tech/high-cost imaging and its determinants for Taiwanese patients with metastatic cancer in their last month of life.Individual patient-level data were linked with encrypted identification numbers from computerized administrative data in Taiwan, that is, the National Register of Deaths Database, Cancer Registration System database, and National Health Insurance claims datasets, Database of Medical Care Institutions Status, and national census statistics (population/household income). We identified receipt of computerized tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and radionuclide bone scans (BSs) for 236,911 Taiwanese cancer decedents with metastatic disease, 2001 to 2010. Associations of patient, physician, hospital, and regional factors with receiving CT, MRI, and bone scan in the last month of life were evaluated by multilevel generalized linear-mixed models.Over one-third (average [range]: 36.11% [33.07%-37.31%]) of patients with metastatic cancer received at least 1 high-tech/high-cost imaging modality in their last month (usage rates for CT, MRI, PET, and BS were 31.05%, 5.81%, 0.25%, and 8.15%, respectively). In 2001 to 2010, trends of receipt increased for CT (27.96-32.22%), MRI (4.34-6.70%), and PET (0.00-0.62%), but decreased for BS (9.47-6.57%). Facilitative determinants with consistent trends for at least 2 high-tech/high-cost imaging modalities were male gender, younger age, married, rural residence, lung cancer diagnosis, dying within 1 to 2 years of diagnosis, not under medical oncology care, and receiving care at a teaching hospital with a larger volume of terminally ill cancer patients and greater EOL care intensity. Undergoing high-tech/high-cost imaging at EOL generally was not associated with regional characteristics, healthcare resources, and EOL care intensity.To more effectively use high-tech/high-cost imaging at EOL, clinical and financial interventions should target nonmedical oncologists/hematologists affiliated with teaching hospitals that tend to aggressively treat high volumes of terminally ill cancer patients, thereby avoiding unnecessary EOL care spending and transforming healthcare systems into affordable high-quality cancer care delivery systems.
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Affiliation(s)
- Tsang-Wu Liu
- From the National Institute of Cancer Research, National Health Research Institutes, Miaoli County (T-WL); School of Gerontology Health Management and Master's Program in Long-Term Care, College of Nursing, Taipei Medical University (Y-NH); Department of Radiology, Koo Foundation Sun Yat-Sen Cancer Center, Taipei (TCS); and Chang Gung University, School of Nursing, Kwei-Shan, Tao-Yuan, Taiwan, R.O.C. (STT)
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13
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Wiebel JL, Banerjee M, Muenz DG, Worden FP, Haymart MR. Trends in imaging after diagnosis of thyroid cancer. Cancer 2015; 121:1387-94. [PMID: 25565063 DOI: 10.1002/cncr.29210] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2014] [Revised: 11/24/2014] [Accepted: 11/25/2014] [Indexed: 11/06/2022]
Abstract
BACKGROUND The largest growth noted among differentiated thyroid cancer (DTC) diagnosis is in low-risk cancers. Trends in imaging after the diagnosis of DTC are understudied. Hypothesizing a reduction in imaging use due to rising low-risk disease, the authors evaluated postdiagnosis imaging patterns over time and patient characteristics that are associated with the likelihood of imaging. METHODS Using the Surveillance, Epidemiology, and End Results-Medicare database, the authors identified patients diagnosed with localized, regional, or distant DTC between 1991 and 2009. Medicare claims were reviewed for use of neck ultrasound, iodine-131 (I-131) scan, or positron emission tomography (PET) scan within 3 years after diagnosis. Trends in imaging use were evaluated using regression analyses. Multivariable logistic regression was used to estimate the likelihood of imaging based on patient characteristics. RESULTS A total of 23,669 patients were included. Compared with patients diagnosed between 1991 and 2000, those diagnosed between 2001 and 2009 were more likely to have localized disease (P<.001) and tumors measuring <1 cm (P<.001). Use of neck ultrasound and I-131 scans increased in patients with localized disease (P ≤.001 and P = .003, respectively), regional disease (P<.001 and P<.001, respectively), and distant metastasis (P = .001 and P = .015, respectively). Patients diagnosed after 2000 were more likely to undergo neck ultrasound (odds ratio, 2.15; 95% confidence interval, 2.02-2.28) and I-131 scan (odds ratio, 1.44; 95% confidence interval, 1.35-1.54). Compared with 1996 through 2004, PET scan use from 2005 to 2009 increased 32.4-fold (P≤.001) in patients with localized disease, 13.1-fold (P<.001) in patients with regional disease, and 33.4-fold (P<.001) in patients with distant DTC. CONCLUSIONS Despite an increase in the diagnosis of low-risk disease, the use of postdiagnosis imaging increased among patients with all stages of disease. The largest growth observed was in the use of PET after 2004.
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Affiliation(s)
- Jaime L Wiebel
- Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, Michigan
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14
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Vorauer E, Louzado C, DeCaria K, Hernandez J, Rahal R, Niu J, Lockwood G, Bryant H. Use of pet in the management of non-small-cell lung cancer in Canada. Curr Oncol 2014; 21:337-9. [PMID: 25489261 DOI: 10.3747/co.21.2271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Positron-emission tomography (pet) has emerged as an effective imaging method for diagnosing, staging, [...]
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Affiliation(s)
- E Vorauer
- Canadian Partnership Against Cancer, Toronto, ON. ; Department of Physics, Ryerson University, Toronto, ON
| | - C Louzado
- Canadian Partnership Against Cancer, Toronto, ON
| | - K DeCaria
- Canadian Partnership Against Cancer, Toronto, ON
| | - J Hernandez
- Canadian Partnership Against Cancer, Toronto, ON
| | - R Rahal
- Canadian Partnership Against Cancer, Toronto, ON
| | - J Niu
- Canadian Partnership Against Cancer, Toronto, ON
| | - G Lockwood
- Canadian Partnership Against Cancer, Toronto, ON. ; Dalla Lana School of Public Health, University of Toronto, Toronto, ON
| | - H Bryant
- Canadian Partnership Against Cancer, Toronto, ON. ; Departments of Community Health Sciences and of Oncology, University of Calgary, Calgary, AB
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15
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Backhus LM, Farjah F, Varghese TK, Cheng AM, Zhou XH, Wood DE, Kessler L, Zeliadt SB. Appropriateness of imaging for lung cancer staging in a national cohort. J Clin Oncol 2014; 32:3428-35. [PMID: 25245440 PMCID: PMC4195853 DOI: 10.1200/jco.2014.55.6589] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
PURPOSE Optimizing evidence-based care to improve quality is a critical priority in the United States. We sought to examine adherence to imaging guideline recommendations for staging in patients with locally advanced lung cancer in a national cohort. METHODS We identified 3,808 patients with stage IIB, IIIA, or IIIB lung cancer by using the national Department of Veterans Affairs (VA) Central Cancer Registry (2004-2007) and linked these patients to VA and Medicare databases to examine receipt of guideline-recommended imaging based on National Comprehensive Cancer Network and American College of Radiology Appropriateness Criteria. Our primary outcomes were receipt of guideline-recommended brain imaging and positron emission tomography (PET) imaging. We also examined rates of overuse defined as combined use of bone scintigraphy (BS) and PET, which current guidelines recommend against. All imaging was assessed during the period 180 days before and 180 days after diagnosis. RESULTS Nearly 75% of patients received recommended brain imaging, and 60% received recommended PET imaging. Overuse of BS and PET occurred in 25% of patients. More advanced clinical stage and later year of diagnosis were the only clinical or demographic factors associated with higher rates of guideline-recommended imaging after adjusting for covariates. We observed considerable regional variation in recommended PET imaging and overuse of combined BS and PET. CONCLUSION Receipt of guideline-recommended imaging is not universal. PET appears to be underused overall, whereas BS demonstrates continued overuse. Wide regional variation suggests that these findings could be the result of local practice patterns, which may be amenable to provider education efforts such as Choosing Wisely.
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Affiliation(s)
- Leah M Backhus
- Leah M. Backhus, Xiao-Hua Zhou, and Steven B. Zeliadt, Veterans Affairs Puget Sound Health Care System; and Leah M. Backhus, Farhood Farjah, Thomas K. Varghese, Aaron M. Cheng, Douglas E. Wood, Larry Kessler, and Steven B. Zeliadt, University of Washington, Seattle, WA.
| | - Farhood Farjah
- Leah M. Backhus, Xiao-Hua Zhou, and Steven B. Zeliadt, Veterans Affairs Puget Sound Health Care System; and Leah M. Backhus, Farhood Farjah, Thomas K. Varghese, Aaron M. Cheng, Douglas E. Wood, Larry Kessler, and Steven B. Zeliadt, University of Washington, Seattle, WA
| | - Thomas K Varghese
- Leah M. Backhus, Xiao-Hua Zhou, and Steven B. Zeliadt, Veterans Affairs Puget Sound Health Care System; and Leah M. Backhus, Farhood Farjah, Thomas K. Varghese, Aaron M. Cheng, Douglas E. Wood, Larry Kessler, and Steven B. Zeliadt, University of Washington, Seattle, WA
| | - Aaron M Cheng
- Leah M. Backhus, Xiao-Hua Zhou, and Steven B. Zeliadt, Veterans Affairs Puget Sound Health Care System; and Leah M. Backhus, Farhood Farjah, Thomas K. Varghese, Aaron M. Cheng, Douglas E. Wood, Larry Kessler, and Steven B. Zeliadt, University of Washington, Seattle, WA
| | - Xiao-Hua Zhou
- Leah M. Backhus, Xiao-Hua Zhou, and Steven B. Zeliadt, Veterans Affairs Puget Sound Health Care System; and Leah M. Backhus, Farhood Farjah, Thomas K. Varghese, Aaron M. Cheng, Douglas E. Wood, Larry Kessler, and Steven B. Zeliadt, University of Washington, Seattle, WA
| | - Douglas E Wood
- Leah M. Backhus, Xiao-Hua Zhou, and Steven B. Zeliadt, Veterans Affairs Puget Sound Health Care System; and Leah M. Backhus, Farhood Farjah, Thomas K. Varghese, Aaron M. Cheng, Douglas E. Wood, Larry Kessler, and Steven B. Zeliadt, University of Washington, Seattle, WA
| | - Larry Kessler
- Leah M. Backhus, Xiao-Hua Zhou, and Steven B. Zeliadt, Veterans Affairs Puget Sound Health Care System; and Leah M. Backhus, Farhood Farjah, Thomas K. Varghese, Aaron M. Cheng, Douglas E. Wood, Larry Kessler, and Steven B. Zeliadt, University of Washington, Seattle, WA
| | - Steven B Zeliadt
- Leah M. Backhus, Xiao-Hua Zhou, and Steven B. Zeliadt, Veterans Affairs Puget Sound Health Care System; and Leah M. Backhus, Farhood Farjah, Thomas K. Varghese, Aaron M. Cheng, Douglas E. Wood, Larry Kessler, and Steven B. Zeliadt, University of Washington, Seattle, WA
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16
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Gould MK, Wagner TH, Schultz EM, Xu X, Ghaus SJ, Provenzale D, Au DH. Facility-level analysis of PET scanning for staging among US veterans with non-small cell lung cancer. Chest 2014; 145:839-847. [PMID: 24306819 DOI: 10.1378/chest.13-1073] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND PET scanning has been shown in randomized trials to reduce the frequency of surgery without cure among patients with potentially resectable non-small cell lung cancer (NSCLC). We examined whether more frequent use of PET scanning at the facility level improves survival among patients with NSCLC in real-world practice. METHODS In this prospective cohort study of 622 US veterans with newly diagnosed NSCLC, we compared groups defined by the frequency of PET scan use measured at the facility level and categorized as low (<25%), medium (25%-60%), or high (>60%). RESULTS The median age of the sample was 69 years. Ninety-eight percent were men, 36% were Hispanic or nonwhite, and 54% had moderate or severe comorbidities. At low-, medium-, and high-use facilities, PET scan was performed in 13%, 40%, and 72% of patients, respectively (P<.0001). Baseline characteristics were similar across groups, including clinical stage based on CT scanning. More frequent use of PET scanning was associated with more frequent invasive staging (P<.001) and nonsignificant improvements in downstaging (P=.13) and surgery without cure (P=.12). After a median of 352 days of follow-up, 22% of the sample was still alive, including 22% at low- and medium-use facilities and 20% at high-use facilities. After adjustment and compared with patients at low-use facilities, the hazard of death was greater for patients at high-use facilities (adjusted hazard ratio [HR], 1.35; 95% CI, 1.05-1.74) but not different for patients at medium-use facilities (adjusted HR, 1.14; 95% CI, 0.88-1.46). CONCLUSIONS In this study of veterans with NSCLC, markedly greater use of PET scanning at the facility level was associated with more frequent use of invasive staging and possible improvements in downstaging and surgery without cure, but greater use of PET scanning was not associated with better survival.
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Affiliation(s)
| | | | - Ellen M Schultz
- Center for Primary Care and Outcomes Research, Stanford University, Stanford, CA
| | - Xiangyan Xu
- Palo Alto Institute for Research and Education, Palo Alto, CA
| | | | - Dawn Provenzale
- Durham Epidemiologic Research and Information Center, Durham VA Medical Center, Durham, NC; Duke University, Durham, NC
| | - David H Au
- Health Services Research and Development Service, VA Puget Sound Health Care System, Seattle, WA; Department of Medicine, University of Washington, Seattle, WA
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