Literature DB >> 35809102

How to assess applicability and methodological quality of comparative studies of operative interventions in orthopedic trauma surgery.

Kim Luijken1, Bryan J M van de Wall2,3, Lotty Hooft4,5, Luke P H Leenen6, R Marijn Houwert7,6, Rolf H H Groenwold7,8.   

Abstract

PURPOSE: It is challenging to generate and subsequently implement high-quality evidence in surgical practice. A first step would be to grade the strengths and weaknesses of surgical evidence and appraise risk of bias and applicability. Here, we described items that are common to different risk-of-bias tools. We explained how these could be used to assess comparative operative intervention studies in orthopedic trauma surgery, and how these relate to applicability of results.
METHODS: We extracted information from the Cochrane risk-of-bias-2 (RoB-2) tool, Risk Of Bias In Non-randomised Studies-of Interventions tool (ROBINS-I), and Methodological Index for Non-Randomized Studies (MINORS) criteria and derived a concisely formulated set of items with signaling questions tailored to operative interventions in orthopedic trauma surgery.
RESULTS: The established set contained nine items: population, intervention, comparator, outcome, confounding, missing data and selection bias, intervention status, outcome assessment, and pre-specification of analysis. Each item can be assessed using signaling questions and was explained using good practice examples of operative intervention studies in orthopedic trauma surgery.
CONCLUSION: The set of items will be useful to form a first judgment on studies, for example when including them in a systematic review. Existing risk of bias tools can be used for further evaluation of methodological quality. Additionally, the proposed set of items and signaling questions might be a helpful starting point for peer reviewers and clinical readers.
© 2022. The Author(s).

Entities:  

Keywords:  Emergency surgery; Research applicability; Research methodology; Risk of bias; Systematic review

Year:  2022        PMID: 35809102     DOI: 10.1007/s00068-022-02031-9

Source DB:  PubMed          Journal:  Eur J Trauma Emerg Surg        ISSN: 1863-9933            Impact factor:   3.693


  47 in total

1.  GRADE guidelines: 2. Framing the question and deciding on important outcomes.

Authors:  Gordon H Guyatt; Andrew D Oxman; Regina Kunz; David Atkins; Jan Brozek; Gunn Vist; Philip Alderson; Paul Glasziou; Yngve Falck-Ytter; Holger J Schünemann
Journal:  J Clin Epidemiol       Date:  2010-12-30       Impact factor: 6.437

2.  When observational studies are as helpful as randomized trials: Examples from orthopedic trauma.

Authors:  Reinier B Beks; Abhiram R Bhashyam; Roderick Marijn Houwert; Detlef van der Velde; Mark van Heijl; Diederik P J Smeeing; Falco Hietbrink; Luke P H Leenen; Rolf H H Groenwold
Journal:  J Trauma Acute Care Surg       Date:  2019-09       Impact factor: 3.313

3.  The challenges of translating the results of randomized controlled trials in orthopaedic surgery into clinical practice.

Authors:  A H N Robinson; S E Johnson-Lynn; J A Humphrey; F S Haddad
Journal:  Bone Joint J       Date:  2019-02       Impact factor: 5.082

4.  Procedural Surgical RCTs in Daily Practice: Do Surgeons Adopt Or Is It Just a Waste of Time?

Authors:  Christian E Oberkofler; Jacob F Hamming; Roxane D Staiger; Philippe Brosi; Sebastiano Biondo; Olivier Farges; Dink A Legemate; Mario Morino; Antonio D Pinna; Hugo Pinto-Marques; John V Reynolds; Ricardo Robles Campos; Xavier Rogiers; Kjetil Soreide; Milo A Puhan; Pierre-Alain Clavien; Inne Borel Rinkes
Journal:  Ann Surg       Date:  2019-11       Impact factor: 12.969

5.  Assessing the quality of randomized controlled trials: an annotated bibliography of scales and checklists.

Authors:  D Moher; A R Jadad; G Nichol; M Penman; P Tugwell; S Walsh
Journal:  Control Clin Trials       Date:  1995-02

Review 6.  The Canadian Orthopaedic Trauma Society.

Authors:  Daniel Axelrod; Kelly Trask; Richard E Buckley; Herman Johal
Journal:  Bone Joint J       Date:  2021-05       Impact factor: 5.082

Review 7.  Tools for assessing quality and susceptibility to bias in observational studies in epidemiology: a systematic review and annotated bibliography.

Authors:  Simon Sanderson; Iain D Tatt; Julian P T Higgins
Journal:  Int J Epidemiol       Date:  2007-04-30       Impact factor: 7.196

Review 8.  Association of BCG, DTP, and measles containing vaccines with childhood mortality: systematic review.

Authors:  Julian P T Higgins; Karla Soares-Weiser; José A López-López; Artemisia Kakourou; Katherine Chaplin; Hannah Christensen; Natasha K Martin; Jonathan A C Sterne; Arthur L Reingold
Journal:  BMJ       Date:  2016-10-13

9.  Design characteristics, risk of bias, and reporting of randomised controlled trials supporting approvals of cancer drugs by European Medicines Agency, 2014-16: cross sectional analysis.

Authors:  Huseyin Naci; Courtney Davis; Jelena Savović; Julian P T Higgins; Jonathan A C Sterne; Bishal Gyawali; Xochitl Romo-Sandoval; Nicola Handley; Christopher M Booth
Journal:  BMJ       Date:  2019-09-18

10.  How well can we assess the validity of non-randomised studies of medications? A systematic review of assessment tools.

Authors:  Elvira D'Andrea; Lydia Vinals; Elisabetta Patorno; Jessica M Franklin; Dimitri Bennett; Joan A Largent; Daniela C Moga; Hongbo Yuan; Xuerong Wen; Andrew R Zullo; Thomas P A Debray; Grammati Sarri
Journal:  BMJ Open       Date:  2021-03-24       Impact factor: 2.692

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