Swiss-wide multicentre evaluation and prediction of core outcomes in arthroscopic rotator cuff repair: protocol for the ARCR_Pred cohort study

Laurent Audigé, Heiner C C Bucher, Soheila Aghlmandi, Thomas Stojanov, David Schwappach, Sabina Hunziker, Christian Candrian, Gregory Cunningham, Holger Durchholz, Karim Eid, Matthias Flury, Bernhard Jost, Alexandre Lädermann, Beat Kaspar Moor, Philipp Moroder, Claudio Rosso, Michael Schär, Markus Scheibel, Christophe Spormann, Thomas Suter, Karl Wieser, Matthias Zumstein, ARCR_Pred Study Group, Andreas M Müller, Jannine Buchschacher, Lena Fankhauser, Corinne Eicher, Gernot Willscheid, Doruk Akgün, Kathi Thiele, Marvin Minkus, Victor Danzinger, Katrin Karpinski, Sebastian Mueller, Claudia Haag-Schumacher, Viviane Steffen, Sarah Fournier, Deborah Marietan, Sebastien Pawlak, Britta Hansen, Ferdinand Lovrek, Marco Zanetti, Nadja Mamisch, Christian Steiner, Georg Ahlbäumer, Jakob Bräm, Jens Fischer, Alexander Delvendahl, Patricia Simao, Abed Khourani, Anne-Sophie Foucault, Frank Kolo, Adrian Schenk, Johannes Weihs, Remy Flückiger, Philipp Scacchi, Paolo Lombardo, Larissa Hübscher, Ralph Berther, Christine Ehrmann, Raffaela Nobs, Richard Niehaus, Nisha Grünberger, Philipp Kriechling, Susanne Bensler, Hans-Kaspar Schwyzer, Fabrizio Moro, Michael Glanzmann, Barbara Wirth, Christian Jung, Florian Freislederer, Manuela Nötzli, Frederik Bellmann, Franz Anne, Jörg Oswald, Alex Marzel, Cécile Grobet, Marije de Jong, Martina Wehrli, Jan Schätz, Francesco Marbach, Marco Delcogliano, Davide Previtali, Florian Schönweger, Elena Porro, Gabriela Induni-Lang, Giuseppe Filardo, Filippo Del Grande, Pietro Feltri, Schiavon Guglielmo, Christian Spross, Martin Olach, Michael Badulescu, Vilijam Zdravkovic, Stephanie Lüscher, Jörg Scheler, Lena Öhrström, Annabel Hayoz, Frederick Schuster, Julia Müller-Lebschi, Christian Gerber, Samy Bouaicha, Paul Borbas, Anita Hasler, Florian Grubhofer, Sabrina Catanzaro, Sabine Wyss, Reto Sutter, Mohy Taha, Cornelia Baum, Ilona Ahlborn, Simone Hatz, Giorgio Tamborrini-Schütz, Christian Appenzeller-Herzog, Laurent Audigé, Heiner C C Bucher, Soheila Aghlmandi, Thomas Stojanov, David Schwappach, Sabina Hunziker, Christian Candrian, Gregory Cunningham, Holger Durchholz, Karim Eid, Matthias Flury, Bernhard Jost, Alexandre Lädermann, Beat Kaspar Moor, Philipp Moroder, Claudio Rosso, Michael Schär, Markus Scheibel, Christophe Spormann, Thomas Suter, Karl Wieser, Matthias Zumstein, ARCR_Pred Study Group, Andreas M Müller, Jannine Buchschacher, Lena Fankhauser, Corinne Eicher, Gernot Willscheid, Doruk Akgün, Kathi Thiele, Marvin Minkus, Victor Danzinger, Katrin Karpinski, Sebastian Mueller, Claudia Haag-Schumacher, Viviane Steffen, Sarah Fournier, Deborah Marietan, Sebastien Pawlak, Britta Hansen, Ferdinand Lovrek, Marco Zanetti, Nadja Mamisch, Christian Steiner, Georg Ahlbäumer, Jakob Bräm, Jens Fischer, Alexander Delvendahl, Patricia Simao, Abed Khourani, Anne-Sophie Foucault, Frank Kolo, Adrian Schenk, Johannes Weihs, Remy Flückiger, Philipp Scacchi, Paolo Lombardo, Larissa Hübscher, Ralph Berther, Christine Ehrmann, Raffaela Nobs, Richard Niehaus, Nisha Grünberger, Philipp Kriechling, Susanne Bensler, Hans-Kaspar Schwyzer, Fabrizio Moro, Michael Glanzmann, Barbara Wirth, Christian Jung, Florian Freislederer, Manuela Nötzli, Frederik Bellmann, Franz Anne, Jörg Oswald, Alex Marzel, Cécile Grobet, Marije de Jong, Martina Wehrli, Jan Schätz, Francesco Marbach, Marco Delcogliano, Davide Previtali, Florian Schönweger, Elena Porro, Gabriela Induni-Lang, Giuseppe Filardo, Filippo Del Grande, Pietro Feltri, Schiavon Guglielmo, Christian Spross, Martin Olach, Michael Badulescu, Vilijam Zdravkovic, Stephanie Lüscher, Jörg Scheler, Lena Öhrström, Annabel Hayoz, Frederick Schuster, Julia Müller-Lebschi, Christian Gerber, Samy Bouaicha, Paul Borbas, Anita Hasler, Florian Grubhofer, Sabrina Catanzaro, Sabine Wyss, Reto Sutter, Mohy Taha, Cornelia Baum, Ilona Ahlborn, Simone Hatz, Giorgio Tamborrini-Schütz, Christian Appenzeller-Herzog

Abstract

Introduction: In the field of arthroscopic rotator cuff repair (ARCR), reporting standards of published studies differ dramatically, notably concerning adverse events (AEs). In addition, prognostic studies are overall methodologically poor, based on small data sets and explore only limited numbers of influencing factors. We aim to develop prognostic models for individual ARCR patients, primarily for the patient-reported assessment of shoulder function (Oxford Shoulder Score (OSS)) and the occurrence of shoulder stiffness 6 months after surgery. We also aim to evaluate the use of a consensus core event set (CES) for AEs and validate a severity classification for these events, considering the patient's perspective.

Methods and analysis: A cohort of 970 primary ARCR patients will be prospectively documented from several Swiss and German orthopaedic clinics up to 24 months postoperatively. Patient clinical examinations at 6 and 12 months will include shoulder range of motion and strength (Constant Score). Tendon repair integrity status will be assessed by ultrasound at 12 months. Patient-reported questionnaires at 6, 12 and 24 months will determine functional scores (subjective shoulder value, OSS), anxiety and depression scores, working status, sports activities, and quality of life (European Quality of Life 5 Dimensions 5 Level questionnaire). AEs will be documented according to a CES. Prognostic models will be developed using an internationally supported regression methodology. Multiple prognostic factors, including patient baseline demographics, psychological, socioeconomic and clinical factors, rotator cuff integrity, concomitant local findings, and (post)operative management factors, will be investigated.

Ethics and dissemination: This project contributes to the development of personalised risk predictions for supporting the surgical decision process in ARCR. The consensus CES may become an international reference for the reporting of complications in clinical studies and registries. Ethical approval was obtained on 1 April 2020 from the lead ethics committee (EKNZ, Basel, Switzerland; ID: 2019-02076). All participants will provide informed written consent before enrolment in the study.

Trial registration number: NCT04321005.

Protocol version: Version 2 (13 December 2019).

Keywords: musculoskeletal disorders; orthopaedic & trauma surgery; shoulder.

Conflict of interest statement

Competing interests: None declared.

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Figures

Figure 1
Figure 1
Flow chart of study procedures. AE survey: surgeon and patient survey regarding AE severity (sev). Motion: shoulder range of motion. Rehab: recall on postoperative rehabilitation. *If MRI not possible. AE, adverse event; CES, core event set; CS, Constant Score; CT, arthro-CT; DE, German; EN, English; EQ-5D-5L, European Quality of Life 5 Dimensions 5 Level questionnaire; FR, French; FU, follow-up; IT, Italian; NRS, Numeric Rating Scale; OSS, Oxford Shoulder Score; RC, rotator cuff; SSV, subjective shoulder value.

References

    1. Schmidt CC, Morrey BF. Management of full-thickness rotator cuff tears: appropriate use criteria. J Shoulder Elbow Surg 2015;24:1860–7. 10.1016/j.jse.2015.05.042
    1. Carr AJ, Cooper CD, Campbell MK, et al. . Clinical effectiveness and cost-effectiveness of open and arthroscopic rotator cuff repair [the UK Rotator Cuff Surgery (UKUFF) randomised trial]. Health Technol Assess 2015;19:1–218. 10.3310/hta19800
    1. Moosmayer S, Lund G, Seljom US, et al. . At a 10-year follow-up, tendon repair is superior to physiotherapy in the treatment of small and medium-sized rotator cuff tears. J Bone Joint Surg Am 2019;101:1050–60. 10.2106/JBJS.18.01373
    1. Grobet C, Audigé L, Eichler K, et al. . Cost-Utility analysis of arthroscopic rotator cuff repair: a prospective health economic study using real-world data. Arthrosc Sports Med Rehabil 2020;2:e193–205. 10.1016/j.asmr.2020.02.001
    1. Piper CC, Hughes AJ, Ma Y, et al. . Operative versus nonoperative treatment for the management of full-thickness rotator cuff tears: a systematic review and meta-analysis. J Shoulder Elbow Surg 2018;27:572–6. 10.1016/j.jse.2017.09.032
    1. Ensor KL, Kwon YW, Dibeneditto MR, et al. . The rising incidence of rotator cuff repairs. J Shoulder Elbow Surg 2013;22:1628–32. 10.1016/j.jse.2013.01.006
    1. Iyengar JJ, Samagh SP, Schairer W, et al. . Current trends in rotator cuff repair: surgical technique, setting, and cost. Arthroscopy 2014;30:284–8. 10.1016/j.arthro.2013.11.018
    1. Colvin AC, Egorova N, Harrison AK, et al. . National trends in rotator cuff repair. J Bone Joint Surg Am 2012;94:227–33. 10.2106/JBJS.J.00739
    1. Jung C, Buchmann S, Flury M. Die arthroskopische Rotatorenmanschetten- Rekonstruktion - Von der Aussnahme zum Standard. Swiss J Med Med Technol 2012:35–9.
    1. Keener JD, Patterson BM, Orvets N, et al. . Degenerative rotator cuff tears: refining surgical indications based on natural history data. J Am Acad Orthop Surg 2019;27:156–65. 10.5435/JAAOS-D-17-00480
    1. Randelli P, Spennacchio P, Ragone V, et al. . Complications associated with arthroscopic rotator cuff repair: a literature review. Musculoskelet Surg 2012;96:9–16. 10.1007/s12306-011-0175-y
    1. Felsch Q, Mai V, Durchholz H, et al. . Complications within 6 months after arthroscopic rotator cuff repair: registry-based evaluation according to a core event set and severity grading. Arthroscopy 2021;37:50–8. 10.1016/j.arthro.2020.08.010
    1. Müller AM, Flury M, Alsayed HN, et al. . Influence of patient and diagnostic parameters on reported retear rates after arthroscopic rotator cuff repair. Knee Surg Sports Traumatol Arthrosc 2017;25:2089–99. 10.1007/s00167-017-4481-2
    1. Yoo JH, Cho NS, Rhee YG. Effect of postoperative repair integrity on health-related quality of life after rotator cuff repair. Am J Sports Med 2013;41:2637–44. 10.1177/0363546513499152
    1. Robinson HA, Lam PH, Walton JR, et al. . The effect of rotator cuff repair on early overhead shoulder function: a study in 1600 consecutive rotator cuff repairs. J Shoulder Elbow Surg 2017;26:20–9. 10.1016/j.jse.2016.05.022
    1. Huberty DP, Schoolfield JD, Brady PC, et al. . Incidence and treatment of postoperative stiffness following arthroscopic rotator cuff repair. Arthroscopy 2009;25:880–90. 10.1016/j.arthro.2009.01.018
    1. Denard PJ, Lädermann A, Burkhart SS. Prevention and management of stiffness after arthroscopic rotator cuff repair: systematic review and implications for rotator cuff healing. Arthroscopy 2011;27:842–8. 10.1016/j.arthro.2011.01.013
    1. Itoi E, Arce G, Bain GI, et al. . Shoulder stiffness: current concepts and concerns. Arthroscopy 2016;32:1402–14. 10.1016/j.arthro.2016.03.024
    1. Audigé L, Blum R, Müller AM, et al. . Complications following arthroscopic rotator cuff tear repair: a systematic review of terms and definitions with focus on shoulder stiffness. Orthop J Sports Med 2015;310.1177/2325967115587861
    1. Gargon E, Gurung B, Medley N, et al. . Choosing important health outcomes for comparative effectiveness research: a systematic review. PLoS One 2014;9:e99111. 10.1371/journal.pone.0099111
    1. Buchbinder R, Page MJ, Huang H, et al. . A preliminary core domain set for clinical trials of shoulder disorders: a report from the OMERACT 2016 shoulder core outcome set special interest group. J Rheumatol 2017;44:1880–3. 10.3899/jrheum.161123
    1. Page MJ, Huang H, Verhagen AP, et al. . Identifying a core set of outcome domains to measure in clinical trials for shoulder disorders: a modified Delphi study. RMD Open 2016;2:e000380. 10.1136/rmdopen-2016-000380
    1. Audigé L, Flury M, Müller AM, et al. . Complications associated with arthroscopic rotator cuff tear repair: definition of a core event set by Delphi consensus process. J Shoulder Elbow Surg 2016;25:1907–17. 10.1016/j.jse.2016.04.036
    1. Steyerberg EW, Moons KGM, van der Windt DA, et al. . Prognosis research strategy (progress) 3: prognostic model research. PLoS Med 2013;10:e1001381. 10.1371/journal.pmed.1001381
    1. Sepucha KR, Atlas SJ, Chang Y, et al. . Informed, patient-centered decisions associated with better health outcomes in Orthopedics: prospective cohort study. Med Decis Making 2018;38:1018–26. 10.1177/0272989X18801308
    1. Guo W, Jin J, Paynabar K, et al. . A decision support system on surgical treatments for rotator cuff tears. IIE Trans Healthc Syst Eng 2015;5:197–210. 10.1080/19488300.2015.1065935
    1. Kwon J, Kim SH, Lee YH, et al. . The rotator cuff healing index: a new scoring system to predict rotator cuff healing after surgical repair. Am J Sports Med 2019;47:173–80. 10.1177/0363546518810763
    1. Jeong HY, Kim HJ, Jeon YS, et al. . Factors predictive of healing in large rotator cuff tears: is it possible to predict retear preoperatively? Am J Sports Med 2018;46:1693–700. 10.1177/0363546518762386
    1. Frangiamore S, Dornan GJ, Horan MP, et al. . Predictive modeling to determine functional outcomes after arthroscopic rotator cuff repair. Am J Sports Med 2020;48:1559–67. 10.1177/0363546520914632
    1. Koorevaar RCT, Van't Riet E, Ipskamp M, et al. . Incidence and prognostic factors for postoperative frozen shoulder after shoulder surgery: a prospective cohort study. Arch Orthop Trauma Surg 2017;137:293–301. 10.1007/s00402-016-2589-3
    1. Fermont AJ, Wolterbeek N, Wessel RN, et al. . Prognostic factors for recovery after arthroscopic rotator cuff repair: a prognostic study. J Shoulder Elbow Surg 2015;24:1249–56. 10.1016/j.jse.2015.04.013
    1. Lambers Heerspink FO, Dorrestijn O, van Raay JJAM, et al. . Specific patient-related prognostic factors for rotator cuff repair: a systematic review. J Shoulder Elbow Surg 2014;23:1073–80. 10.1016/j.jse.2014.01.001
    1. McElvany MD, McGoldrick E, Gee AO, et al. . Rotator cuff repair: published evidence on factors associated with repair integrity and clinical outcome. Am J Sports Med 2015;43:491–500. 10.1177/0363546514529644
    1. Saccomanno MF, Sircana G, Cazzato G, et al. . Prognostic factors influencing the outcome of rotator cuff repair: a systematic review. Knee Surg Sports Traumatol Arthrosc 2016;24:3809–19. 10.1007/s00167-015-3700-y
    1. Raman J, Walton D, MacDermid JC, et al. . Predictors of outcomes after rotator cuff repair-A meta-analysis. J Hand Ther 2017;30:276–92. 10.1016/j.jht.2016.11.002
    1. Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg 2004;240:205–13.
    1. Lafosse L, Jost B, Reiland Y, et al. . Structural integrity and clinical outcomes after arthroscopic repair of isolated subscapularis tears. J Bone Joint Surg Am 2007;89:1184–93. 10.2106/00004623-200706000-00005
    1. Dawson J, Rogers K, Fitzpatrick R, et al. . The Oxford shoulder score revisited. Arch Orthop Trauma Surg 2009;129:119–23. 10.1007/s00402-007-0549-7
    1. Huber W, Hofstaetter JG, Hanslik-Schnabel B, et al. . The German version of the Oxford shoulder score-cross-cultural adaptation and validation. Arch Orthop Trauma Surg 2004;124:531–6. 10.1007/s00402-004-0716-z
    1. Murena L, Vulcano E, D'Angelo F, et al. . Italian cross-cultural adaptation and validation of the Oxford shoulder score. J Shoulder Elbow Surg 2010;19:335–41. 10.1016/j.jse.2009.07.068
    1. Olley LM, Carr AJ. The use of a patient-based questionnaire (the Oxford shoulder score) to assess outcome after rotator cuff repair. Ann R Coll Surg Engl 2008;90:326–31. 10.1308/003588408X285964
    1. Xu S, Chen JY, Lie HME, et al. . Minimal clinically important difference of Oxford, constant, and UCLA shoulder score for arthroscopic rotator cuff repair. J Orthop 2020;19:21–7. 10.1016/j.jor.2019.11.037
    1. Allom R, Colegate-Stone T, Gee M, et al. . Outcome analysis of surgery for disorders of the rotator cuff: a comparison of subjective and objective scoring tools. J Bone Joint Surg Br 2009;91:367–73. 10.1302/0301-620X.91B3.20714
    1. Constant CR, Gerber C, Emery RJH, et al. . A review of the constant score: modifications and guidelines for its use. J Shoulder Elbow Surg 2008;17:355–61. 10.1016/j.jse.2007.06.022
    1. Gilbart MK, Gerber C. Comparison of the subjective shoulder value and the constant score. J Shoulder Elbow Surg 2007;16:717–21. 10.1016/j.jse.2007.02.123
    1. Cappelleri JC, Bushmakin AG, McDermott AM, et al. . Psychometric properties of a single-item scale to assess sleep quality among individuals with fibromyalgia. Health Qual Life Outcomes 2009;7:54. 10.1186/1477-7525-7-54
    1. Potter MQ, Wylie JD, Greis PE, et al. . Psychological distress negatively affects self-assessment of shoulder function in patients with rotator cuff tears. Clin Orthop Relat Res 2014;472:3926–32. 10.1007/s11999-014-3833-1
    1. Makhni EC, Meadows M, Hamamoto JT, et al. . Patient reported outcomes measurement information system (PROMIS) in the upper extremity: the future of outcomes reporting? J Shoulder Elbow Surg 2017;26:352–7. 10.1016/j.jse.2016.09.054
    1. Tubach F, Wells GA, Ravaud P, et al. . Minimal clinically important difference, low disease activity state, and patient acceptable symptom state: methodological issues. J Rheumatol 2005;32:2025–9.
    1. Slankamenac K, Graf R, Barkun J, et al. . The comprehensive complication index: a novel continuous scale to measure surgical morbidity. Ann Surg 2013;258:1–7. 10.1097/SLA.0b013e318296c732
    1. Sugaya H, Maeda K, Matsuki K, et al. . Functional and structural outcome after arthroscopic full-thickness rotator cuff repair: single-row versus dual-row fixation. Arthroscopy 2005;21:1307–16. 10.1016/j.arthro.2005.08.011
    1. Collin P, Yoshida M, Delarue A, et al. . Evaluating postoperative rotator cuff healing: prospective comparison of MRI and ultrasound. Orthop Traumatol Surg Res 2015;101:S265–8. 10.1016/j.otsr.2015.06.006
    1. Herdman M, Gudex C, Lloyd A, et al. . Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res 2011;20:1727–36. 10.1007/s11136-011-9903-x
    1. Moor BK, Wieser K, Slankamenac K, et al. . Relationship of individual scapular anatomy and degenerative rotator cuff tears. J Shoulder Elbow Surg 2014;23:536–41. 10.1016/j.jse.2013.11.008
    1. Werner CML, Conrad SJ, Meyer DC, et al. . Intermethod agreement and interobserver correlation of radiologic acromiohumeral distance measurements. J Shoulder Elbow Surg 2008;17:237–40. 10.1016/j.jse.2007.06.002
    1. Thomazeau H, Rolland Y, Lucas C, et al. . Atrophy of the supraspinatus belly assessment by MRI in 55 patients with rotator cuff pathology. Acta Orthop Scand 1996;67:264–8. 10.3109/17453679608994685
    1. Zanetti M, Gerber C, Hodler J. Quantitative assessment of the muscles of the rotator cuff with magnetic resonance imaging. Invest Radiol 1998;33:163–70. 10.1097/00004424-199803000-00006
    1. Schiefer M, Mendonça R, Magnanini MM, et al. . Intraobserver and interobserver agreement of Goutallier classification applied to magnetic resonance images. J Shoulder Elbow Surg 2015;24:1314–21. 10.1016/j.jse.2015.02.011
    1. Goutallier D, Postel JM, Bernageau J, et al. . Fatty muscle degeneration in cuff ruptures. pre- and postoperative evaluation by CT scan. Clin Orthop Relat Res 1994;304:78–83.
    1. Patte D. Classification of rotator cuff lesions. Clin Orthop Relat Res 1990;254:81–6. 10.1097/00003086-199005000-00012
    1. Okoroha KR, Mehran N, Duncan J, et al. . Characterization of rotator cuff tears: ultrasound versus magnetic resonance imaging. Orthopedics 2017;40:1–7. 10.3928/01477447-20161013-04
    1. Zumstein MA, Ladermann A, Raniga S. The biology of rotator cuff healing. Orthop Traumatol Surg Res 2016.
    1. Audigé L, Goldhahn S, Daigl M, et al. . How to document and report orthopedic complications in clinical studies? A proposal for standardization. Arch Orthop Trauma Surg 2014;134:269–75. 10.1007/s00402-011-1384-4
    1. Rosenthal R, Hoffmann H, Clavien P-A, et al. . Definition and classification of intraoperative complications (classic): Delphi study and pilot evaluation. World J Surg 2015;39:1663–71. 10.1007/s00268-015-3003-y
    1. Dell-Kuster S, Gomes NV, Gawria L, et al. . Prospective validation of classification of intraoperative adverse events (ClassIntra): international, multicentre cohort study. BMJ 2020;370:m2917. 10.1136/bmj.m2917
    1. Flury M, Kolling C, Grobet C, et al. . Implementation of a local outcome register for arthroscopic rotator cuff tear repair. Obere Extremität 2014;10:33–40. 10.1007/s11678-014-0299-4
    1. Vach W. Regression models as a tool in medical research. Boca Raton: CRC Press, Taylor & Francis Group, 2013.
    1. Peduzzi P, Concato J, Kemper E, et al. . A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 1996;49:1373–9. 10.1016/S0895-4356(96)00236-3
    1. Hemingway H, Croft P, Perel P, et al. . Prognosis research strategy (progress) 1: a framework for researching clinical outcomes. BMJ 2013;346:e5595. 10.1136/bmj.e5595
    1. Harris PA, Taylor R, Thielke R, et al. . Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377–81. 10.1016/j.jbi.2008.08.010
    1. REDCap web-based electronic data capture system 2017, 2017. Available: [Accessed 15 Mar 2017].
    1. Steyerberg EW, Vergouwe Y. Towards better clinical prediction models: seven steps for development and an ABCD for validation. Eur Heart J 2014;35:1925–31. 10.1093/eurheartj/ehu207
    1. Steyerberg EW. Clinical prediction models, 2009.
    1. Team RC . R: A language and environment for statistical computing: R Foundation for Statistical Computing, Vienna, Austria, 2016. Available:
    1. Porembka MR, Hall BL, Hirbe M, et al. . Quantitative weighting of postoperative complications based on the accordion severity grading system: demonstration of potential impact using the American College of surgeons national surgical quality improvement program. J Am Coll Surg 2010;210:286–98. 10.1016/j.jamcollsurg.2009.12.004
    1. de la Rosette JJMCH, Opondo D, Daels FPJ, et al. . Categorisation of complications and validation of the Clavien score for percutaneous nephrolithotomy. Eur Urol 2012;62:246–55. 10.1016/j.eururo.2012.03.055
    1. Vandenbroucke JP, von Elm E, Altman DG, et al. . Strengthening the reporting of observational studies in epidemiology (STROBE): explanation and elaboration. PLoS Med 2007;4:e297. 10.1371/journal.pmed.0040297
    1. Collins GS, Reitsma JB, Altman DG, et al. . Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. Ann Intern Med 2015;162:55–63. 10.7326/M14-0697
    1. Moher D, Liberati A, Tetzlaff J, et al. . Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 2009;6:e1000097. 10.1371/journal.pmed.1000097
    1. Scientific Integrity Committee of Swiss Academies of Arts And Sciences, Hess CW, Brückner C, et al. . Authorship in scientific publications: analysis and recommendations. Swiss Med Wkly 2015;145:w14108. 10.4414/smw.2015.14108

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