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Lenga P, Kleineidam H, Unterberg A, Dao Trong P. Optimizing patient outcome in intracranial tumor surgery: a detailed prospective study of adverse events and mortality reduction strategies in neurosurgery. Acta Neurochir (Wien) 2024; 166:126. [PMID: 38457057 PMCID: PMC10923735 DOI: 10.1007/s00701-024-06008-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 02/19/2024] [Indexed: 03/09/2024]
Abstract
INTRODUCTION Brain tumor surgery represents a critical and high-risk area within the field of neurosurgery. Our study aims to offer a comprehensive analysis of adverse events (AEs) from a prospectively maintained database at a leading neurosurgical tertiary center, with a specific focus on different types of tumor entities. METHODS From January 2022 to September 2023, our study focused on adult patients, who underwent surgery for intracranial tumors. Each patient in this demographic was thoroughly assessed for adverse events (AEs) by their attending physicians at discharge. An AE was defined as any event occurring within the first 30 days post-surgery. RESULTS A total of 1173 patients with an average age of 57.4 ± 15.3 years underwent surgical procedures. The majority of these surgeries were elective, accounting for 93.4% (1095 out of 1173), while emergency surgeries constituted 13.9% (163 out of 1173). The incidence of surgery-related AEs was relatively low at 12.7%. The most common surgical indications were meningioma and glioma pathologies, representing 31.1% and 28.2% of cases, respectively. Dural leaks occurred in 1.5% of the cases. Postoperative hemorrhage was a significant complication, especially among glioma patients, with ten experiencing postoperative hemorrhage and eight requiring revision surgery. The overall mortality rate stood at 0.8%, corresponding to five patient deaths. Causes of death included massive postoperative bleeding in one patient, pulmonary embolism in two patients, and tumor progression in two others. CONCLUSIONS Surgical interventions for intracranial neoplasms are inherently associated with a significant risk of adverse events. However, our study's findings reveal a notably low mortality rate within our patient cohort. This suggests that thorough documentation of AEs, coupled with proactive intervention strategies in neurosurgical practices, can substantially enhance patient outcomes.
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Affiliation(s)
- Pavlina Lenga
- Department of Neurosurgery, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
- Medical Faculty of Heidelberg University, Heidelberg, Germany.
| | - Helena Kleineidam
- Department of Neurosurgery, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Medical Faculty of Heidelberg University, Heidelberg, Germany
| | - Andreas Unterberg
- Department of Neurosurgery, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Medical Faculty of Heidelberg University, Heidelberg, Germany
| | - Philip Dao Trong
- Department of Neurosurgery, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Medical Faculty of Heidelberg University, Heidelberg, Germany
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Carretta A, Epskamp M, Ledermann L, Staartjes VE, Neidert MC, Regli L, Stienen MN. Collagen-bound fibrin sealant (TachoSil®) for dural closure in cranial surgery: single-centre comparative cohort study and systematic review of the literature. Neurosurg Rev 2022; 45:3779-3788. [PMID: 36322203 PMCID: PMC9663376 DOI: 10.1007/s10143-022-01886-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 09/23/2022] [Accepted: 10/19/2022] [Indexed: 11/07/2022]
Abstract
Cerebrospinal fluid (CSF) leakage is a well-known complication of craniotomies and there are several dural closure techniques. One commonly used commercial product as adjunct for dural closure is the collagen-bound fibrin sealant TachoSil®. We analysed whether the addition of TachoSil has beneficial effects on postoperative complications and outcomes. Our prospective, institutional database was retrospectively queried, and 662 patients undergoing craniotomy were included. Three hundred fifty-two were treated with dural suture alone, and in 310, TachoSil was added after primary suture. Our primary endpoint was the rate of postoperative complications associated with CSF leakage. Secondary endpoints included functional, disability and neurological outcome. Systematic review according to PRISMA guidelines was performed to identify studies comparing primary dural closure with and without additional sealants. Postoperative complications associated with CSF leakage occurred in 24 (7.74%) and 28 (7.95%) procedures with or without TachoSil, respectively (p = 0.960). Multivariate analysis confirmed no significant differences in complication rate between the two groups (aOR 0.97, 95% CI 0.53–1.80, p = 0.930). There were no significant disparities in postoperative functional, disability or neurological scores. The systematic review identified 661 and included 8 studies in the qualitative synthesis. None showed a significant superiority of additional sealants over standard technique regarding complications, rates of revision surgery or outcome. According to our findings, we summarize that routinary use of TachoSil and similar products as adjuncts to primary dural sutures after intracranial surgical procedures is safe but without clear advantage in complication avoidance or outcome. Future studies should investigate whether their use is beneficial in high-risk settings.
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Affiliation(s)
- Alessandro Carretta
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
- Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Zurich, Switzerland
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Mirka Epskamp
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
- Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Zurich, Switzerland
| | - Linus Ledermann
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
- Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Zurich, Switzerland
| | - Victor E Staartjes
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
- Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Zurich, Switzerland
| | - Marian C Neidert
- Department of Neurosurgery, Cantonal Hospital St.Gallen, St.Gallen Medical School, Rorschacher Str. 95, CH-9007, St.Gallen, Switzerland
| | - Luca Regli
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University of Zurich, Zurich, Switzerland
- Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Zurich, Switzerland
| | - Martin N Stienen
- Department of Neurosurgery, Cantonal Hospital St.Gallen, St.Gallen Medical School, Rorschacher Str. 95, CH-9007, St.Gallen, Switzerland.
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Sarnthein J, Staartjes VE, Regli L. Neurosurgery outcomes and complications in a monocentric 7-year patient registry. BRAIN AND SPINE 2022; 2:100860. [PMID: 36248111 PMCID: PMC9560692 DOI: 10.1016/j.bas.2022.100860] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 01/02/2022] [Accepted: 01/08/2022] [Indexed: 12/11/2022]
Abstract
Introduction Capturing adverse events reliably is paramount for clinical practice and research alike. In the era of “big data”, prospective registries form the basis of clinical research and quality improvement. Research question To present results of long-term implementation of a prospective patient registry, and evaluate the validity of the Clavien-Dindo grade (CDG) to classify complications in neurosurgery. Materials and methods A prospective registry for cranial and spinal neurosurgical procedures was implemented in 2013. The CDG – a complication grading focused on need for unplanned therapeutic intervention – was used to grade complications. We assess construct validity of the CDG. Results Data acquisition integrated into our hospital workflow permitted to include all eligible patients into the registry. We have registered 8226 patients that were treated in 11994 surgeries and 32494 consultations up until December 2020. Similarly, we have captured 1245 complications on 6308 patient discharge forms (20%) since full operational status of the registry. The majority of complications (819/6308 = 13%) were treated without invasive treatment (CDG 1 or CDG 2). At discharge, there was a clear correlation of CDG and the Karnofsky Performance Status (KPS, rho = -0.29, slope -7 KPS percentage points per increment of CDG) and the length of stay (rho = 0.43, slope 3.2 days per increment of CDG). Discussion and conclusion Patient registries with high completeness and objective capturing of complications are central to the process of quality improvement. The CDG demonstrates construct validity as a measure of complication classification in a neurosurgical patient population. A prospective registry for cranial and spinal neurosurgical procedures was implemented in 2013. We have registered 8226 patients that were treated in 11994 surgeries and 32494 consultations up until December 2020. There was a clear correlation of CDG with the Karnofsky Performance Status and with length of hospital stay. The Clavien-Dindo grading (CDG) demonstrates construct validity as a measure of complication severity in a neurosurgical patient population.
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Affiliation(s)
- Johannes Sarnthein
- Department of Neurosurgery and Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Switzerland
- Corresponding Klinik für Neurochirurgie UniversitätsSpital Zürich, 8091, Zürich, Switzerland.
| | - Victor E. Staartjes
- Department of Neurosurgery and Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Switzerland
| | - Luca Regli
- Department of Neurosurgery and Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Switzerland
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Transformation of neurosurgical training from “see one, do one, teach one” to AR/VR & simulation – A survey by the EANS Young Neurosurgeons. BRAIN AND SPINE 2022; 2:100929. [PMID: 36248173 PMCID: PMC9560525 DOI: 10.1016/j.bas.2022.100929] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/10/2022] [Indexed: 11/21/2022]
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Staartjes VE, Broggi M, Zattra CM, Vasella F, Velz J, Schiavolin S, Serra C, Bartek J, Fletcher-Sandersjöö A, Förander P, Kalasauskas D, Renovanz M, Ringel F, Brawanski KR, Kerschbaumer J, Freyschlag CF, Jakola AS, Sjåvik K, Solheim O, Schatlo B, Sachkova A, Bock HC, Hussein A, Rohde V, Broekman MLD, Nogarede CO, Lemmens CMC, Kernbach JM, Neuloh G, Bozinov O, Krayenbühl N, Sarnthein J, Ferroli P, Regli L, Stienen MN. Development and external validation of a clinical prediction model for functional impairment after intracranial tumor surgery. J Neurosurg 2021; 134:1743-1750. [PMID: 32534490 DOI: 10.3171/2020.4.jns20643] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 04/06/2020] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Decision-making for intracranial tumor surgery requires balancing the oncological benefit against the risk for resection-related impairment. Risk estimates are commonly based on subjective experience and generalized numbers from the literature, but even experienced surgeons overestimate functional outcome after surgery. Today, there is no reliable and objective way to preoperatively predict an individual patient's risk of experiencing any functional impairment. METHODS The authors developed a prediction model for functional impairment at 3 to 6 months after microsurgical resection, defined as a decrease in Karnofsky Performance Status of ≥ 10 points. Two prospective registries in Switzerland and Italy were used for development. External validation was performed in 7 cohorts from Sweden, Norway, Germany, Austria, and the Netherlands. Age, sex, prior surgery, tumor histology and maximum diameter, expected major brain vessel or cranial nerve manipulation, resection in eloquent areas and the posterior fossa, and surgical approach were recorded. Discrimination and calibration metrics were evaluated. RESULTS In the development (2437 patients, 48.2% male; mean age ± SD: 55 ± 15 years) and external validation (2427 patients, 42.4% male; mean age ± SD: 58 ± 13 years) cohorts, functional impairment rates were 21.5% and 28.5%, respectively. In the development cohort, area under the curve (AUC) values of 0.72 (95% CI 0.69-0.74) were observed. In the pooled external validation cohort, the AUC was 0.72 (95% CI 0.69-0.74), confirming generalizability. Calibration plots indicated fair calibration in both cohorts. The tool has been incorporated into a web-based application available at https://neurosurgery.shinyapps.io/impairment/. CONCLUSIONS Functional impairment after intracranial tumor surgery remains extraordinarily difficult to predict, although machine learning can help quantify risk. This externally validated prediction tool can serve as the basis for case-by-case discussions and risk-to-benefit estimation of surgical treatment in the individual patient.
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Affiliation(s)
- Victor E Staartjes
- 1Department of Neurosurgery and Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
- 2Amsterdam UMC, Vrije Universiteit Amsterdam, Neurosurgery, Amsterdam Movement Sciences, Amsterdam, The Netherlands
| | - Morgan Broggi
- 3Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan
| | - Costanza Maria Zattra
- 3Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan
| | - Flavio Vasella
- 1Department of Neurosurgery and Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Julia Velz
- 1Department of Neurosurgery and Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Silvia Schiavolin
- 4Neurology, Public Health and Disability Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Carlo Serra
- 1Department of Neurosurgery and Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Jiri Bartek
- 5Department of Neurosurgery, Karolinska University Hospital, Stockholm
- 6Department of Clinical Neuroscience and Medicine, Karolinska Institutet, Stockholm, Sweden
- 7Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark
| | - Alexander Fletcher-Sandersjöö
- 5Department of Neurosurgery, Karolinska University Hospital, Stockholm
- 6Department of Clinical Neuroscience and Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Petter Förander
- 5Department of Neurosurgery, Karolinska University Hospital, Stockholm
- 6Department of Clinical Neuroscience and Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Darius Kalasauskas
- 8Department of Neurosurgery, University Medical Center, Johannes Gutenberg University Mainz, Germany
| | - Mirjam Renovanz
- 8Department of Neurosurgery, University Medical Center, Johannes Gutenberg University Mainz, Germany
| | - Florian Ringel
- 8Department of Neurosurgery, University Medical Center, Johannes Gutenberg University Mainz, Germany
| | | | | | | | - Asgeir S Jakola
- 10Department of Neurosurgery, Sahlgrenska University Hospital, Gothenburg
- 11Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg, Sweden
| | - Kristin Sjåvik
- 12Department of Neurosurgery, University Hospital of North Norway, Tromsö
| | - Ole Solheim
- 13Department of Neurosurgery, St. Olav's University Hospital, Trondheim, Norway
| | - Bawarjan Schatlo
- 14Department of Neurosurgery, Georg August University, University Medical Center, Göttingen, Germany
| | - Alexandra Sachkova
- 14Department of Neurosurgery, Georg August University, University Medical Center, Göttingen, Germany
| | - Hans Christoph Bock
- 14Department of Neurosurgery, Georg August University, University Medical Center, Göttingen, Germany
| | - Abdelhalim Hussein
- 14Department of Neurosurgery, Georg August University, University Medical Center, Göttingen, Germany
| | - Veit Rohde
- 14Department of Neurosurgery, Georg August University, University Medical Center, Göttingen, Germany
| | - Marike L D Broekman
- 15Department of Neurosurgery, Haaglanden Medical Center, The Hague
- 16Department of Neurosurgery, Leiden University Medical Center, Leiden
| | - Claudine O Nogarede
- 15Department of Neurosurgery, Haaglanden Medical Center, The Hague
- 16Department of Neurosurgery, Leiden University Medical Center, Leiden
| | - Cynthia M C Lemmens
- 17Department of Neurology, Haaglanden Medical Center, The Hague, The Netherlands; and
| | - Julius M Kernbach
- 18Department of Neurosurgery, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Georg Neuloh
- 18Department of Neurosurgery, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Oliver Bozinov
- 1Department of Neurosurgery and Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Niklaus Krayenbühl
- 1Department of Neurosurgery and Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Johannes Sarnthein
- 1Department of Neurosurgery and Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Paolo Ferroli
- 3Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan
| | - Luca Regli
- 1Department of Neurosurgery and Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
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Stienen MN, Freyschlag CF, Schaller K, Meling T. Procedures performed during neurosurgery residency in Europe. Acta Neurochir (Wien) 2020; 162:2303-2311. [PMID: 32803372 PMCID: PMC7496021 DOI: 10.1007/s00701-020-04513-4] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 07/30/2020] [Indexed: 11/24/2022]
Abstract
Background In a previous article (10.1007/s00701-019-03888-3), preliminary results of a survey, aiming to shed light on the number of surgical procedures performed and assisted during neurosurgery residency in Europe were reported. We here present the final results and extend the analyses. Methods Board-certified neurosurgeons of European Association of Neurosurgical Societies (EANS) member countries were asked to review their residency case logs and participate in a 31-question electronic survey (SurveyMonkey Inc., San Mateo, CA). The responses received between April 25, 2018, and April 25, 2020, were considered. We excluded responses that were incomplete, from non-EANS member countries, or from respondents that have not yet completed their residency. Results Of 430 responses, 168 were considered for analysis after checking in- and exclusion criteria. Survey responders had a mean age of 42.7 ± 8.8 years, and 88.8% were male. Responses mainly came from surgeons employed at university/teaching hospitals (85.1%) in Germany (22.0%), France (12.5%), the United Kingdom (UK; 8.3%), Switzerland (7.7%), and Greece (7.1%). Most responders graduated in the years between 2011 and 2019 (57.7%). Thirty-eight responders (22.6%) graduated before and 130 responders (77.4%) after the European WTD 2003/88/EC came into effect. The mean number of surgical procedures performed independently, supervised or assisted throughout residency was 540 (95% CI 424–657), 482 (95% CI 398–568), and 579 (95% CI 441–717), respectively. Detailed numbers for cranial, spinal, adult, and pediatric subgroups are presented in the article. There was an annual decrease of about 33 cases in total caseload between 1976 and 2019 (coeff. − 33, 95% CI − 62 to − 4, p = 0.025). Variables associated with lesser total caseload during residency were training abroad (1210 vs. 1747, p = 0.083) and female sex by trend (947 vs. 1671, p = 0.111), whereas case numbers were comparable across the EANS countries (p = 0.443). Conclusion The final results of this survey largely confirm the previously reported numbers. They provide an opportunity for current trainees to compare their own case logs with. Again, we confirm a significant decline in surgical exposure during training between 1976 and 2019. In addition, the current analysis reveals that female sex and training abroad may be variables associated with lesser case numbers during residency. Electronic supplementary material The online version of this article (10.1007/s00701-020-04513-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Martin N Stienen
- Department of Neurosurgery, University Hospital Zürich, Zürich, Switzerland.
- Clinical Neuroscience Center, University of Zürich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.
- Department of Neurosurgery, Kantonsspital St.Gallen, St.Gallen, Switzerland.
| | | | - Karl Schaller
- Department of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Torstein Meling
- Department of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland
- Faculty of Medicine, University of Geneva, Geneva, Switzerland
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Oliveira MM, Ferrarez CE, Lovato R, Costa PV, Malheiros JA, Avellar L, Granja M, Sauvageau E, Machado C, Hanel R. Quality Assurance During Brain Aneurysm Microsurgery—Operative Error Teaching. World Neurosurg 2019; 130:e112-e116. [DOI: 10.1016/j.wneu.2019.05.262] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 05/30/2019] [Accepted: 05/31/2019] [Indexed: 11/16/2022]
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Stienen MN, Bartek J, Czabanka MA, Freyschlag CF, Kolias A, Krieg SM, Moojen W, Renovanz M, Sampron N, Adib SD, Schubert GA, Demetriades AK, Ringel F, Regli L, Schaller K, Meling TR. Neurosurgical procedures performed during residency in Europe—preliminary numbers and time trends. Acta Neurochir (Wien) 2019; 161:843-853. [PMID: 30927157 DOI: 10.1007/s00701-019-03888-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Accepted: 03/20/2019] [Indexed: 11/26/2022]
Affiliation(s)
- Martin N Stienen
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland.
- Clinical Neuroscience Center, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.
| | - Jiri Bartek
- Department of Clinical Neuroscience and Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Neurosurgery, Rigshospitalet, Copenhagen, Denmark
| | - Marcus A Czabanka
- Department of Neurosurgery, Charité University Hospital, Berlin, Germany
| | | | - Angelos Kolias
- Department of Clinical Neurosciences, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
| | - Sandro M Krieg
- Department of Neurosurgery, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Wouter Moojen
- HAGA Teaching Hospital and Medical Center Haaglanden, The Hague & Leiden University Medical Center, Leiden, Netherlands
| | - Mirjam Renovanz
- Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | - Nicolas Sampron
- Servicio de Neurocirugía, Hospital Universitario Donostia, San Sebastián, Guipúzcoa, Spain
| | - Sasan D Adib
- Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany
| | | | | | - Florian Ringel
- Department of Neurosurgery, University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Luca Regli
- Department of Neurosurgery, University Hospital Zurich, Zurich, Switzerland
- Clinical Neuroscience Center, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Karl Schaller
- Neurosurgery Division, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - Torstein R Meling
- Neurosurgery Division, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland
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