Evidence map›Paper›PMID 29922729›Full record

ReviewTurkish journal of emergency medicine2018

The HEART score: A guide to its application in the emergency department.

William Brady, Katya de Souza

Abstract readReview
In one paragraph

Review in Turkish journal of emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–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

32 citing papers in PubMed.

  1. Article
  2. A multidimensional item response theory analysis of the Seattle Angina Questionnaire: measurement precision, differential item functioning, and potential for item reduction.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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  9. Observational
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  14. HEART Score: Prospective Evaluation of Its Accuracy and Applicability.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  15. Article
  16. Article
  17. Article
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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

2 authors.

William BradyDepartment of Emergency Medicine, University of Virginia, Charlottesville, 22908, VA, United States.
Katya de SouzaDepartment of Emergency Medicine, University of Virginia, Charlottesville, 22908, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chest pain is one of the most common, potentially serious presenting complaints for adult emergency department (ED) visits. The challenge of acute coronary syndrome (ACS) identification with appropriate disposition is quite significant. Many of these patients are low risk and can be managed non-urgently in the outpatient environment; other patients, however, are intermediate to high risk for ACS and should be managed more aggressively, likely with inpatient admission and cardiology consultation. The HEART score, a recently derived clinical decision rule aimed at the identification of risk in the undifferentiated chest pain patient, is potentially quite useful as an adjunct to physician medical decision-making. The HEART score identifies patients at low, intermediate, and high risk for short-term adverse outcome resulting from ACS. As is true of all such clinical decision rules, the physician should consider the information provided the HEART score yet exercise clinical judgment in the ultimate determination of management strategy in the adult chest pain patient suspected of ACS.

Indexed as

Acute coronary syndromeChest painDecision rulesEmergency departmentHEART scoreRisk stratification

Identifiers

PMID29922729
PMCPMC6005932

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.