Literature DB >> 25475365

Using individual patient data to adjust for indirectness did not successfully remove the bias in this case of comparative test accuracy.

Junfeng Wang1, Patrick Bossuyt1, Ronald Geskus1, Aeilko Zwinderman1, Madeleine Dolleman2, Simone Broer2, Frank Broekmans2, Ben Willem Mol3, Mariska Leeflang4.   

Abstract

OBJECTIVES: In comparative systematic reviews of diagnostic accuracy, inconsistencies between direct and indirect comparisons may lead to bias. We investigated whether using individual patient data (IPD) can adjust for this form of bias. STUDY DESIGN AND
SETTING: We included IPD of 3 ovarian reserve tests from 32 studies. Inconsistency was defined as a statistically significant difference in relative accuracy or different comparative results between the direct and indirect evidence. We adjusted for the effect of threshold and reference standard, as well as for patient-specific variables.
RESULTS: Anti-Müllerian hormone (AMH) and follicle stimulation hormone (FSH) differed significantly in sensitivity (-0.1563, P = 0.04). AMH and antral follicle count (AFC) differed significantly in sensitivity (0.1465, P < 0.01). AMH and AFC differed significantly in specificity (-0.0607, P = 0.02). The area under the curve (AUC) differed significantly between AFC and FSH (0.0948, P < 0.01) in the direct comparison but not (0.0678, P = 0.09) in the indirect comparison. The AUCs of AFC and AMH differed significantly (-0.0830, P < 0.01) in the indirect comparison but not (-0.0176, P = 0.29) in the direct comparison. These differences remained after adjusting for indirectness.
CONCLUSION: Estimates of comparative accuracy obtained through indirect comparisons are not always consistent with those obtained through direct comparisons. Using IPD to adjust for indirectness did not successfully remove the bias in this case study.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Comparative meta-analysis; Diagnostic test accuracy; Generalized estimating equation; Individual patient data; Receiver operating characteristic; Sensitivity and specificity

Mesh:

Substances:

Year:  2014        PMID: 25475365     DOI: 10.1016/j.jclinepi.2014.10.005

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  2 in total

Review 1.  Comparative reviews of diagnostic test accuracy in imaging research: evaluation of current practices.

Authors:  Anahita Dehmoobad Sharifabadi; Mariska Leeflang; Lee Treanor; Noemie Kraaijpoel; Jean-Paul Salameh; Mostafa Alabousi; Nabil Asraoui; Jade Choo-Foo; Yemisi Takwoingi; Jonathan J Deeks; Matthew D F McInnes
Journal:  Eur Radiol       Date:  2019-03-21       Impact factor: 5.315

2.  Systematic reviews and meta-analyses addressing comparative test accuracy questions.

Authors:  Mariska M G Leeflang; Johannes B Reitsma
Journal:  Diagn Progn Res       Date:  2018-09-10
  2 in total

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