A new tool to assess Clinical Diversity In Meta-analyses (CDIM) of interventions

Autor: De Zhao Kong, Georgina Imberger, Jørn Wetterslev, Bao-Yong Lai, Geert Koster, Naqash J Sethi, Andreas Bender Jonsson, Steven Kwasi Korang, Rui-Xue Hu, Emilie C Risom, Bente Thoft Jensen, Anders Granholm, Morten Hylander Møller, Maria L. Fabritius, Sanam Safi, Mathias Maagaard, Anders Perner, Meint Volbeda, Susanne Vahr Lauridsen, Anja Geisler, Bart Hiemstra, Nico van Bakelen, Marie Warrer Munch, Ruben J. Eck, Oliver Karam, Eric Keus, Christian Gluud, Barzi Gareb, Emil Eik Nielsen, Søren Marker, A. K. Nørskov, Ning Liang, Thijs M. Koster, Sofie Louise Rygård, Willem Dieperink, Maria Cronhjort, Fredrik Sjövall, Tine Sylvest Meyhoff, Fredrike Blokzijl, Iwan C. C. van der Horst, Marija Barbateskovic, Josh Feinberg, Lars Hyldborg Lundstrøm, Arash Afshari, Craig French
Přispěvatelé: RS: Carim - V04 Surgical intervention, Intensive Care, MUMC+: MA Medische Staf IC (9), MUMC+: MA Intensive Care (3), Critical care, Anesthesiology, Peri-operative and Emergency medicine (CAPE), Anesthesiology
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Clinical Epidemiology, 135, 29-41. Elsevier Science
Journal of Clinical Epidemiology, 135, 29-41. ELSEVIER SCIENCE INC
Barbateskovic, M, Koster, T M, Eck, R J, Maagaard, M, Afshari, A, Blokzijl, F, Cronhjort, M, Dieperink, W, Fabritius, M L, Feinberg, J, French, C, Gareb, B, Geisler, A, Granholm, A, Hiemstra, B, Hu, R, Imberger, G, Jensen, B T, Jonsson, A B, Karam, O, Kong, D Z, Korang, S K, Koster, G, Lai, B, Liang, N, Lundstrøm, L H, Marker, S, Meyhoff, T S, Nielsen, E E, Nørskov, A K, Munch, M W, Risom, E C, Rygård, S L, Safi, S, Sethi, N, Sjövall, F, Lauridsen, S V, van Bakelen, N, Volbeda, M, van der Horst, I C C, Gluud, C, Perner, A, Møller, M H, Keus, E & Wetterslev, J 2021, ' A new tool to assess Clinical Diversity In Meta-analyses (CDIM) of interventions ', Journal of Clinical Epidemiology, vol. 135, pp. 29-41 . https://doi.org/10.1016/j.jclinepi.2021.01.023
Journal of Clinical Epidemiology, 135, 29-41. Elsevier USA
ISSN: 0895-4356
DOI: 10.1016/j.jclinepi.2021.01.023
Popis: Objective: To develop and validate Clinical Diversity In Meta-analyses (CDIM), a new tool for assessing clinical diversity between trials in meta-analyses of interventions. Study design and setting: The development of CDIM was based on consensus work informed by empirical literature and expertise. We drafted the CDIM tool, refined it, and validated CDIM for interrater scale reliability and agreement in three groups. Results: CDIM measures clinical diversity on a scale that includes four domains with 11 items overall: setting (time of conduct/country development status/units type); population (age, sex, patient inclusion criteria/baseline disease severity, comorbidities); interventions (intervention intensity/strength/duration of intervention, timing, control intervention, cointerventions); and outcome (definition of outcome, timing of outcome assessment). The CDIM is completed in two steps: first two authors independently assess clinical diversity in the four domains. Second, after agreeing upon scores of individual items a consensus score is achieved. Interrater scale reliability and agreement ranged from moderate to almost perfect depending on the type of raters. Conclusion: CDIM is the first tool developed for assessing clinical diversity in meta-analyses of interventions. We found CDIM to be a reliable tool for assessing clinical diversity among trials in meta-analysis. (c) 2021 Elsevier Inc. All rights reserved.
Databáze: OpenAIRE
Externí odkaz: