Skip to main content
Top
Published in: Systematic Reviews 1/2021

Open Access 01-12-2021 | Methodology

Application of weighting methods for presenting risk-of-bias assessments in systematic reviews of diagnostic test accuracy studies

Authors: Yasaman Vali, Mariska M. G. Leeflang, Patrick M. M. Bossuyt

Published in: Systematic Reviews | Issue 1/2021

Login to get access

Abstract

Background

An assessment of the validity of individual diagnostic accuracy studies in systematic reviews is necessary to guide the analysis and the interpretation of results. Such an assessment is performed for each included study and typically reported at the study level. As studies may differ in sample size and disease prevalence, with larger studies contributing more to the meta-analysis, such a study-level report does not always reflect the risk of bias in the total body of evidence. We aimed to develop improved methods of presenting the risk of bias in the available evidence on diagnostic accuracy of medical tests in systematic reviews, reflecting the relative contribution of the study to the body of evidence in the review.

Methods

We applied alternative methods to represent evaluations with the Quality Assessment of Diagnostic Accuracy Studies tool (QUADAS-2), weighting studies according to their relative contribution to the total sample size or their relative effective sample size. We used these methods in four existing systematic reviews of diagnostic accuracy studies, including 9, 13, 22, and 32 studies, respectively.

Results

The risk-of-bias summaries for each domain of the QUADAS-2 checklist changed in all four sets of studies after replacing unit weights for the studies with relative sample sizes or with the relative effective sample size. As an example, the risk of bias was high in the patient selection domain in 31% of the studies in one review, unclear in 23% and low in 46% of studies. Weighting studies according to the relative sample size changed the corresponding proportions to 4%, 4%, and 92%, respectively. The difference between the two weighting methods was small and more noticeable when the reviews included a smaller number of studies with wider range of sample size.

Conclusions

We present an alternative way of presenting the results of risk-of-bias assessments in systematic reviews of diagnostic accuracy studies. Weighting studies according to their relative sample size or their relative effective sample size can be used as more informative summaries of the risk of bias in the total body of available evidence.

Systematic review registrations

Not applicable
Literature
3.
go back to reference Pussegoda K, Turner L, Garritty C, Mayhew A, Skidmore B, Stevens A, et al. Systematic review adherence to methodological or reporting quality. Syst Rev. 2017;6(1):1–14.CrossRef Pussegoda K, Turner L, Garritty C, Mayhew A, Skidmore B, Stevens A, et al. Systematic review adherence to methodological or reporting quality. Syst Rev. 2017;6(1):1–14.CrossRef
6.
go back to reference Viswanathan M, Patnode CD, Berkman ND, Bass EB, Chang S, Hartling L, et al. Assessing the risk of bias in systematic reviews of health care interventions. Methods guide for effectiveness and comparative effectiveness reviews: Agency for Healthcare Research and Quality (US); 2017. Viswanathan M, Patnode CD, Berkman ND, Bass EB, Chang S, Hartling L, et al. Assessing the risk of bias in systematic reviews of health care interventions. Methods guide for effectiveness and comparative effectiveness reviews: Agency for Healthcare Research and Quality (US); 2017.
7.
go back to reference Macaskill P, Gatsonis C, Deeks J, Harbord R, Takwoingi Y. Cochrane handbook for systematic reviews of diagnostic test accuracy. Version 09 0. London: The Cochrane Collaboration; 2010. Macaskill P, Gatsonis C, Deeks J, Harbord R, Takwoingi Y. Cochrane handbook for systematic reviews of diagnostic test accuracy. Version 09 0. London: The Cochrane Collaboration; 2010.
12.
go back to reference Sterne J, Savović J, Page M, Elbers R, Blencowe N, Boutron I, et al. RoB 2: A revised Cochrane risk-of-bias tool for randomized trials. BMJ. 2019;366:l48981. Sterne J, Savović J, Page M, Elbers R, Blencowe N, Boutron I, et al. RoB 2: A revised Cochrane risk-of-bias tool for randomized trials. BMJ. 2019;366:l48981.
18.
go back to reference McGuinness LA, Higgins JP. Risk-of-bias VISualization (robvis): an R package and Shiny web app for visualizing risk-of-bias assessments. Res Synth Methods. 2020. McGuinness LA, Higgins JP. Risk-of-bias VISualization (robvis): an R package and Shiny web app for visualizing risk-of-bias assessments. Res Synth Methods. 2020.
19.
go back to reference Lee J, Vali Y, Boursier J, Duffin K, Verheij J, Brosnan MJ, et al. Accuracy of cytokeratin 18 (M30 and M65) in detecting non-alcoholic steatohepatitis and fibrosis: a systematic review and meta-analysis. PLoS ONE. 2020:1–19. Lee J, Vali Y, Boursier J, Duffin K, Verheij J, Brosnan MJ, et al. Accuracy of cytokeratin 18 (M30 and M65) in detecting non-alcoholic steatohepatitis and fibrosis: a systematic review and meta-analysis. PLoS ONE. 2020:1–19.
21.
go back to reference Lombardi G, Crescioli G, Cavedo E, Lucenteforte E, Casazza G, Bellatorre AG, et al. Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer’s disease in people with mild cognitive impairment. Cochrane Database Syst Rev. 2020;3. Lombardi G, Crescioli G, Cavedo E, Lucenteforte E, Casazza G, Bellatorre AG, et al. Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer’s disease in people with mild cognitive impairment. Cochrane Database Syst Rev. 2020;3.
22.
go back to reference Mattioni A, Cenciarelli S, Eusebi P, Brazzelli M, Mazzoli T, Del Sette M, et al. Transcranial Doppler sonography for detecting stenosis or occlusion of intracranial arteries in people with acute ischaemic stroke. Cochrane Database Syst Rev. 2020;2. Mattioni A, Cenciarelli S, Eusebi P, Brazzelli M, Mazzoli T, Del Sette M, et al. Transcranial Doppler sonography for detecting stenosis or occlusion of intracranial arteries in people with acute ischaemic stroke. Cochrane Database Syst Rev. 2020;2.
29.
go back to reference La Torre G, Chiaradia G, Gianfagna F, Boccia S, De Laurentis A, Ricciardi W. Quality assessment in meta-analyses. Ital J Public Health. 2006;3(2). La Torre G, Chiaradia G, Gianfagna F, Boccia S, De Laurentis A, Ricciardi W. Quality assessment in meta-analyses. Ital J Public Health. 2006;3(2).
30.
go back to reference Whiting P, Harbord R, Kleijnen J. Scoring the quality of diagnostic accuracy studies: an example using QUADAS; 2004. Whiting P, Harbord R, Kleijnen J. Scoring the quality of diagnostic accuracy studies: an example using QUADAS; 2004.
Metadata
Title
Application of weighting methods for presenting risk-of-bias assessments in systematic reviews of diagnostic test accuracy studies
Authors
Yasaman Vali
Mariska M. G. Leeflang
Patrick M. M. Bossuyt
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2021
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-021-01744-z

Other articles of this Issue 1/2021

Systematic Reviews 1/2021 Go to the issue