Literature DB >> 22129189

Meta-analysis of clinical studies of diagnostic tests: developments in how the receiver operating characteristic "works".

James Hurley1.   

Abstract

Meta-analytic summaries are needed on clinical studies of diagnostic tests. Meta-analyses on clinical studies of diagnostic tests commonly use the receiver operating characteristic method, which differs conceptually and computationally from the more widely known meta-analytic methods applicable in other contexts, such as in studies of randomized controlled trials. Important conceptual differences for clinical studies of diagnostic tests versus randomized controlled trials are that the study subpopulations are not defined by random allocation and the test threshold typically varies across studies to accommodate "rule in" versus "rule out" testing strategies. The receiver operating characteristic method has evolved substantially in the past decade, and the most recent approaches use multilevel regression methods that require iterative computational solutions to estimate the influence of the study-level variables. Using current methodology, a meta-analysis on clinical studies of diagnostic tests can address questions relevant to the clinical application of a diagnostic test that cannot be answered at the level of the individual study.

Mesh:

Year:  2011        PMID: 22129189     DOI: 10.5858/arpa.2011-0016-SO

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  4 in total

1.  Endotoxemia as a diagnostic tool for patients with suspected bacteremia caused by gram-negative organisms: a meta-analysis of 4 decades of studies.

Authors:  James C Hurley; Piotr Nowak; Lars Öhrmalm; Charalambos Gogos; Apostolos Armaganidis; Evangelos J Giamarellos-Bourboulis
Journal:  J Clin Microbiol       Date:  2015-01-28       Impact factor: 5.948

Review 2.  Thiopurine S-methyltransferase testing for averting drug toxicity: a meta-analysis of diagnostic test accuracy.

Authors:  R M Zur; L M Roy; S Ito; J Beyene; C Carew; W J Ungar
Journal:  Pharmacogenomics J       Date:  2016-05-24       Impact factor: 3.550

Review 3.  Could simulation methods solve the curse of sparse data within clinical studies of antibiotic resistance?

Authors:  James C Hurley; David Brownridge
Journal:  JAC Antimicrob Resist       Date:  2021-03-11

Review 4.  Diagnosis of Pneumonia Due to Invasive Molds.

Authors:  Carlo Foppiano Palacios; Anne Spichler Moffarah
Journal:  Diagnostics (Basel)       Date:  2021-07-07
  4 in total

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