Evidence map›Paper›PMID 39677032›Full record

SynthesisFrontiers in cardiovascular medicine2024

Design-related bias in studies investigating diagnostic tests for venous thromboembolic diseases: a systematic review and meta-analysis.

Laura Boschetti, Henning Nilius, Hugo Ten Cate, Walter A Wuillemin, Livia Faes, Patrick M Bossuyt, Lucas M Bachmann, Michael Nagler

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Laura Boschetti *Department of Clinical Chemistry, Inselspital University Hospital, University of Bern, Bern, Switzerland.
Henning Nilius *Department of Clinical Chemistry, Inselspital University Hospital, University of Bern, Bern, Switzerland.
Hugo Ten CateLaboratory of Clinical Thrombosis and Haemostasis, and Cardiovascular Research Institute, Maastricht University Medical Center, Maastricht, Netherlands.
Walter A WuilleminDivision of Haematology, Cantonal Hospital of Lucerne, Lucerne, Switzerland.
Livia FaesMedignition Inc., Zurich, Switzerland.
Patrick M BossuytDepartment of Clinical Epidemiology, Biostatistics & Bioinformatics, Academic Medical Center-University of Amsterdam, Amsterdam, Netherlands.
Lucas M BachmannMedignition Inc., Zurich, Switzerland.
Michael NaglerDepartment of Clinical Chemistry, Inselspital University Hospital, University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early detection and diagnosis of venous thromboembolism are vital for effective treatment. To what extent methodological shortcomings exist in studies of diagnostic tests and whether this affects published test performance is unknown. Objectives: We aimed to assess the methodological quality of studies evaluating diagnostic tests for venous thromboembolic diseases and quantify the direction and impact of design characteristics on diagnostic performance. Methods: We conducted a literature search using Medline and Embase databases for systematic reviews summarizing diagnostic accuracy studies for five target disorders associated with venous thromboembolism. The following data were extracted for each primary study: methodological characteristics, the risk of bias scored by the QUADAS QUADAS-2 instrument, and numbers of true-positives, true-negatives, false-positives, and false-negatives. In a meta-analysis, we compared diagnostic accuracy measures from studies unlikely to be biased with those likely to be biased. Results: Eighty-five systematic reviews comprising 1'818 primary studies were included. Adequate quality assessment tools were used in 43 systematic reviews only (51%). The risk of bias was estimated to be low for all items in 23% of the primary studies. A high or unclear risk of bias in particular domains of the QUADAS/QUADAS-2 tool was associated with marked differences in the reported sensitivity and specificity. Conclusions: Significant limitations in the methodological quality of studies assessing diagnostic tests for venous thromboembolic disorders exist, and studies at risk of bias are unlikely to report valid estimates of test performance. Established guidelines for evaluation of diagnostic tests should be more systematically adopted. Systematic Review Registration: PROSPERO (CRD 42021264912).

Indexed as

diagnostic testsmeta-analysissensitivity and specificityvenous thromboembolismvenous thrombosis

Identifiers

PMID39677032
PMCPMC11638182

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.