Evidence map›Paper›PMID 32185231›Full record

SynthesisBioMed research international2020

Diagnostic Role of Carotid Intima-Media Thickness for Coronary Artery Disease: A Meta-Analysis.

Dianmei Liu, Caiju Du, Weiguang Shao, Guifeng Ma

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Methods to assess atherosclerotic cardiovascular risk in chronic respiratory diseases: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dianmei LiuImaging Center, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Kuiwen District, Weifang, 261031 Shandong Province, China.ORCID https://orcid.org/0000-0002-1760-4092
Caiju DuImaging Center, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Kuiwen District, Weifang, 261031 Shandong Province, China.ORCID https://orcid.org/0000-0003-4670-1892
Weiguang ShaoImaging Center, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Kuiwen District, Weifang, 261031 Shandong Province, China.
Guifeng MaImaging Center, Affiliated Hospital of Weifang Medical University, 2428 Yuhe Road, Kuiwen District, Weifang, 261031 Shandong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present meta-analysis was conducted to confirm whether carotid intima-media thickness (IMT) could serve as an accurate diagnostic method for coronary artery disease (CAD).

methodsDatabases of PubMed, Google Scholar, and Embase were searched for potential articles. The articles were selected according to inclusion criteria. Pooled sensitivity and specificity with corresponding 95% confidence interval (CI) were used to confirm the diagnostic role of IMT for CAD.

results22 eligible articles were selected in the present meta-analysis. Pooled sensitivity and specificity of IMT for diagnosing CAD were 0.68 (0.57-0.77) and 0.70 (0.64-0.75), respectively. The corresponding AUC was 0.74 (0.70-0.78). Subgroup analyses based on cutoff value of IMT were performed. A cutoff value of 1 mm was demonstrated to be much more accurate diagnostic criteria for CAD (sensitivity: 0.66; specificity: 0.79; AUC: 0.80). Sensitivity analysis indicated that the pooled results were robust. Deek's funnel plot indicated no significant publication bias (

conclusionCarotid IMT may serve as an accurate diagnostic tool. A cutoff value of 1 mm seems to provide much more accurate diagnostic results for CAD.

Indexed as

Carotid Intima-Media ThicknessCoronary Artery DiseaseDatabases, FactualHumansSensitivity and Specificity

Identifiers

PMID32185231
PMCPMC7063191

What OpenQuestion holds

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Registered trials

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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.