Evidence map›Paper›PMID 21597986›Full record

SynthesisEuropean radiology2011

Influence of coronary artery disease prevalence on predictive values of coronary CT angiography: a meta-regression analysis.

Peter Schlattmann, Georg M Schuetz, Marc Dewey

Abstract readComparative StudyMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Postmortem imaging of sudden cardiac death.International journal of legal medicine · 2014
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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

3 authors.

Peter SchlattmannDepartment of Medical Statistics, Informatics and Documentation, University Hospital of Friedrich-Schiller University Jena, Jena, Germany.
Georg M Schuetz
Marc Dewey

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the impact of coronary artery disease (CAD) prevalence on the predictive values of coronary CT angiography.

methodsWe performed a meta-regression based on a generalised linear mixed model using the binomial distribution and a logit link to analyse the influence of the prevalence of CAD in published studies on the per-patient negative and positive predictive values of CT in comparison to conventional coronary angiography as the reference standard. A prevalence range in which the negative predictive value was higher than 90%, while at the same time the positive predictive value was higher than 70% was considered appropriate.

resultsThe summary negative and positive predictive values of coronary CT angiography were 93.7% (95% confidence interval [CI] 92.8-94.5%) and 87.5% (95% CI, 86.5-88.5%), respectively. With 95% confidence, negative and positive predictive values higher than 90% and 70% were available with CT for a CAD prevalence of 18-63%. CT systems with >16 detector rows met these requirements for the positive (P < 0.01) and negative (P < 0.05) predictive values in a significantly broader range than systems with ≤16 detector rows.

conclusionIt is reasonable to perform coronary CT angiography as a rule-out test in patients with a low-to-intermediate likelihood of disease.

Indexed as

AngiographyCoronary AngiographyCoronary Artery DiseaseFemaleHumansLongitudinal StudiesMalePrevalenceRegression AnalysisSensitivity and SpecificityTomography, X-Ray Computed

Identifiers

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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.