Evidence map›Paper›PMID 20603345›Full record

ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2010

Ruling out coronary artery disease in primary care: development and validation of a simple prediction rule.

Stefan Bösner, Jörg Haasenritter, Annette Becker, Konstantinos Karatolios, Paul Vaucher, Baris Gencer, Lilli Herzig, Monika Heinzel-Gutenbrunner, Juergen R Schaefer, Maren Abu Hani and 4 more

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Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 5 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

58 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  2. The Diagnosis of Chronic Coronary Heart Disease.Deutsches Arzteblatt international · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Stefan BösnerDepartment of General Practice and Family Medicine, University of Marburg, D-35032 Marburg, Germany. boesner@staff.uni-marburg.de
Jörg Haasenritter
Annette Becker
Konstantinos Karatolios
Paul Vaucher
Baris Gencer
Lilli Herzig
Monika Heinzel-Gutenbrunner
Juergen R Schaefer
Maren Abu Hani
Heidi Keller
Andreas C Sönnichsen
Erika Baum
Norbert Donner-Banzhoff

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChest pain can be caused by various conditions, with life-threatening cardiac disease being of greatest concern. Prediction scores to rule out coronary artery disease have been developed for use in emergency settings. We developed and validated a simple prediction rule for use in primary care.

methodsWe conducted a cross-sectional diagnostic study in 74 primary care practices in Germany. Primary care physicians recruited all consecutive patients who presented with chest pain (n = 1249) and recorded symptoms and findings for each patient (derivation cohort). An independent expert panel reviewed follow-up data obtained at six weeks and six months on symptoms, investigations, hospital admissions and medications to determine the presence or absence of coronary artery disease. Adjusted odds ratios of relevant variables were used to develop a prediction rule. We calculated measures of diagnostic accuracy for different cut-off values for the prediction scores using data derived from another prospective primary care study (validation cohort).

resultsThe prediction rule contained five determinants (age/sex, known vascular disease, patient assumes pain is of cardiac origin, pain is worse during exercise, and pain is not reproducible by palpation), with the score ranging from 0 to 5 points. The area under the curve (receiver operating characteristic curve) was 0.87 (95% confidence interval [CI] 0.83-0.91) for the derivation cohort and 0.90 (95% CI 0.87-0.93) for the validation cohort. The best overall discrimination was with a cut-off value of 3 (positive result 3-5 points; negative result <or= 2 points), which had a sensitivity of 87.1% (95% CI 79.9%-94.2%) and a specificity of 80.8% (77.6%-83.9%).

interpretationThe prediction rule for coronary artery disease in primary care proved to be robust in the validation cohort. It can help to rule out coronary artery disease in patients presenting with chest pain in primary care.

Indexed as

AdolescentAgedAged, 80 and overAge FactorsChest PainChildConfidence IntervalsCoronary Artery DiseaseCross-Sectional StudiesFemaleGermanyHumansLogistic ModelsMaleMiddle AgedOdds Ratio

Identifiers

PMID20603345
PMCPMC2934794

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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.