Evidence map›Paper›PMID 27528647›Full record

ReviewCirculation2016

State-of-the-Art Evaluation of Emergency Department Patients Presenting With Potential Acute Coronary Syndromes.

Judd E Hollander, Martin Than, Christian Mueller

Abstract readReview
PubMed Publisher
In one paragraph

Review in Circulation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Trial
  4. A leap into the future: excluding the ischaemic origin of chest pain through artificial intelligence.European heart journal supplements : journal of the European Society of Cardiology · 2026
    Article
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  9. Article
  10. Review
  11. High-Sensitivity Troponin: Finding a Meaningful Delta.Journal of cardiovascular development and disease · 2024
    Review
  12. Article
  13. Article
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  15. Article
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  17. Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning.IEEE journal of translational engineering in health and medicine · 2023
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Judd E HollanderFrom Department of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA (J.E.H.); Department of Emergency Medicine, Christchurch Hospital, Christchurch, New Zealand (M.T.); and Department of Cardiology and Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland (C.M.).
Martin ThanFrom Department of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA (J.E.H.); Department of Emergency Medicine, Christchurch Hospital, Christchurch, New Zealand (M.T.); and Department of Cardiology and Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland (C.M.).
Christian MuellerFrom Department of Emergency Medicine, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA (J.E.H.); Department of Emergency Medicine, Christchurch Hospital, Christchurch, New Zealand (M.T.); and Department of Cardiology and Cardiovascular Research Institute Basel, University Hospital Basel, Basel, Switzerland (C.M.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is well established that clinicians cannot use clinical judgment alone to determine whether an individual patient who presents to the emergency department has an acute coronary syndrome. The history and physical examination do not distinguish sufficiently between the many conditions that can cause acute chest pain syndromes. Cardiac risk factors do not have sufficient discriminatory ability in symptomatic patients presenting to the emergency department. Most patients with non-ST-segment-elevation myocardial infarction do not present with electrocardiographic evidence of active ischemia. The improvement in cardiac troponin assays, especially in conjunction with well-validated clinical decision algorithms, now enables the clinician to rapidly exclude myocardial infarction. In patients in whom unstable angina remains a concern or there is a desire to evaluate for underlying coronary artery disease, coronary computed tomography angiography can be used in the emergency department. Once a process that took ≥24 hours, computed tomography angiography now can rapidly exclude myocardial infarction and coronary artery disease in patients in the emergency department.

Indexed as

Diagnosis, DifferentialAcute Coronary SyndromeChest PainCoronary AngiographyElectrocardiographyEmergency Service, HospitalHumansTomography, X-Ray Computedacute coronary syndromechest paincoronary computerized tomographic angiographyemergency service, hospitalrisk assessmenttroponin

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.