Literature DB >> 15649665

A systematic review finds that diagnostic reviews fail to incorporate quality despite available tools.

Penny Whiting1, Anne W S Rutjes, Jacqueline Dinnes, Johannes B Reitsma, Patrick M M Bossuyt, Jos Kleijnen.   

Abstract

BACKGROUND AND
OBJECTIVE: To review existing quality assessment tools for diagnostic accuracy studies and to examine to what extent quality was assessed and incorporated in diagnostic systematic reviews.
METHODS: Electronic databases were searched for tools to assess the quality of studies of diagnostic accuracy or guides for conducting, reporting or interpreting such studies. The Database of Abstracts of Reviews of Effects (DARE; 1995-2001) was used to identify systematic reviews of diagnostic studies to examine the practice of quality assessment of primary studies.
RESULTS: Ninety-one quality assessment tools were identified. Only two provided details of tool development, and only a small proportion provided any indication of the aspects of quality they aimed to assess. None of the tools had been systematically evaluated. We identified 114 systematic reviews, of which 58 (51%) had performed an explicit quality assessment and were further examined. The majority of reviews used more than one method of incorporating quality.
CONCLUSION: Most tools to assess the quality of diagnostic accuracy studies do not start from a well-defined definition of quality. None has been systematically evaluated. The majority of existing systematic reviews fail to take differences in quality into account. Reviewers should consider quality as a possible source of heterogeneity.

Mesh:

Year:  2005        PMID: 15649665     DOI: 10.1016/j.jclinepi.2004.04.008

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


  20 in total

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Journal:  Altern Lab Anim       Date:  2006-12       Impact factor: 1.303

2.  Sources of bias in diagnostic accuracy studies and the diagnostic process.

Authors:  Toshi A Furukawa; Gordon H Guyatt
Journal:  CMAJ       Date:  2006-02-14       Impact factor: 8.262

Review 3.  On-the-Job Evidence-Based Medicine Training for Clinician-Scientists of the Next Generation.

Authors:  Elaine Yl Leung; Sadia M Malick; Khalid S Khan
Journal:  Clin Biochem Rev       Date:  2013-08

4.  Assessing the quality of diagnostic studies using psychometric instruments: applying QUADAS.

Authors:  Rachel Mann; Catherine E Hewitt; Simon M Gilbody
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2008-10-04       Impact factor: 4.328

5.  Measurement properties of quality assessment tools for studies of diagnostic accuracy.

Authors:  Mark A Kaizik; Alessandra N Garcia; Mark J Hancock; Robert D Herbert
Journal:  Braz J Phys Ther       Date:  2019-01-30       Impact factor: 3.377

6.  Systematic reviews of diagnostic tests in endocrinology: an audit of methods, reporting, and performance.

Authors:  Gabriela Spencer-Bonilla; Naykky Singh Ospina; Rene Rodriguez-Gutierrez; Juan P Brito; Nicole Iñiguez-Ariza; Shrikant Tamhane; Patricia J Erwin; M Hassan Murad; Victor M Montori
Journal:  Endocrine       Date:  2017-06-05       Impact factor: 3.633

7.  Methodological quality of diagnostic accuracy studies on non-invasive coronary CT angiography: influence of QUADAS (Quality Assessment of Diagnostic Accuracy Studies included in systematic reviews) items on sensitivity and specificity.

Authors:  Sabine Schueler; Stefan Walther; Georg M Schuetz; Peter Schlattmann; Marc Dewey
Journal:  Eur Radiol       Date:  2013-01-16       Impact factor: 5.315

Review 8.  Systematic reviews of diagnostic tests in cancer: review of methods and reporting.

Authors:  Susan Mallett; Jonathan J Deeks; Steve Halligan; Sally Hopewell; Victoria Cornelius; Douglas G Altman
Journal:  BMJ       Date:  2006-07-18

9.  Evidence of bias and variation in diagnostic accuracy studies.

Authors:  Anne W S Rutjes; Johannes B Reitsma; Marcello Di Nisio; Nynke Smidt; Jeroen C van Rijn; Patrick M M Bossuyt
Journal:  CMAJ       Date:  2006-02-14       Impact factor: 8.262

10.  Chapter 5: assessing risk of bias as a domain of quality in medical test studies.

Authors:  P Lina Santaguida; Crystal M Riley; David B Matchar
Journal:  J Gen Intern Med       Date:  2012-06       Impact factor: 5.128

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