Evidence map›Paper›PMID 20564768›Full record

ArticleCroatian medical journal2010

Accuracy of general practitioners' assessment of chest pain patients for coronary heart disease in primary care: cross-sectional study with follow-up.

Stefan Bösner, Jörg Haasenritter, Maren Abu Hani, Heidi Keller, Andreas C Sönnichsen, Konstantinos Karatolios, Juergen R Schaefer, Erika Baum, Norbert Donner-Banzhoff

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Article in Croatian medical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

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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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Predictive Value of Hematologic Indices in the Diagnosis of Acute Coronary Syndrome.Open access Macedonian journal of medical sciences · 2019
    Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. May chest pain describe coronary heart disease?Croatian medical journal · 2013
    Article
  10. Article
  11. Article
  12. Article
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

9 authors.

Stefan BösnerDepartment of General Practice/Family Medicine, University of Marburg, D-35043 Marburg, Germany. boesner@staff.uni-marburg.de
Jörg Haasenritter
Maren Abu Hani
Heidi Keller
Andreas C Sönnichsen
Konstantinos Karatolios
Juergen R Schaefer
Erika Baum
Norbert Donner-Banzhoff

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo estimate how accurately general practitioners' (GP) assessed the probability of coronary heart disease in patients presenting with chest pain and analyze the patient management decisions taken as a result.

methodsDuring 2005 and 2006, the cross-sectional diagnostic study with a delayed-type reference standard included 74 GPs in the German state of Hesse, who enrolled 1249 consecutive patients presenting with chest pain. GPs recorded symptoms and findings for each patient on a report form. Patients and GPs were contacted 6 weeks and 6 months after the patients' visit to the GP. Data on chest complaints, investigations, hospitalization, and medication were reviewed by an independent panel, with coronary heart disease being the reference condition. Diagnostic properties (sensitivity, specificity, and predictive values) of the GPs' diagnoses were calculated.

resultsGPs diagnosed coronary heart disease with the sensitivity of 69% (95% confidence interval [CI], 62-75) and specificity of 89% (95% CI, 87-91), and acute coronary syndrome with the sensitivity of 50% (95% CI, 36-64) and specificity of 98% (95% CI, 97-99). They assumed coronary heart disease in 245 patients, 41 (17%) of whom were referred to the hospital, 77 (31%) to a cardiologist, and 162 (66%) to electrocardiogram testing.

conclusionsGPs' evaluation of chest pain patients, based on symptoms and signs alone, was not sufficiently accurate for diagnosing or excluding coronary heart disease or acute coronary syndrome.

Indexed as

Physicians, FamilyAgedChest PainClinical CompetenceCoronary DiseaseCross-Sectional StudiesFemaleFollow-Up StudiesGermanyHumansMaleMiddle AgedPrimary Health Care

Identifiers

PMID20564768
PMCPMC2897083

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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.