Evidence map›Paper›PMID 30289775›Full record

ArticleEuropean journal of emergency medicine : official journal of the European Society for Emergency Medicine2019

Enhanced triage for patients with suspected cardiac chest pain: the History and Electrocardiogram-only Manchester Acute Coronary Syndromes decision aid.

Abdulrhman Alghamdi, Laura Howard, Charles Reynard, Philip Moss, Heather Jarman, Kevin Mackway-Jones, Simon Carley, Richard Body

Open access · hybridAbstract read
In one paragraph

Article in European journal of emergency medicine : official journal of the European Society for Emergency Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Abdulrhman AlghamdiCardioavascular Science Research Group, Division of Cardiovascular Sciences, The University of Manchester.
Laura HowardPostgraduate Medical School, Manchester Metropolitan University.
Charles ReynardEmergency Department, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester.
Philip MossEmergency Department, St George's University Hospitals NHS Foundation Trust, London, UK.
Heather JarmanEmergency Department, St George's University Hospitals NHS Foundation Trust, London, UK.
Kevin Mackway-JonesPostgraduate Medical School, Manchester Metropolitan University.
Simon CarleyPostgraduate Medical School, Manchester Metropolitan University.
Richard BodyCardioavascular Science Research Group, Division of Cardiovascular Sciences, The University of Manchester.
Manchester Academic Health Science Centre · GBManchester Metropolitan University · GBSt George’s University Hospitals NHS Foundation Trust · GBManchester University NHS Foundation Trust · GBUniversity of Manchester · GB

Funding

Department of Health NIHR300246Department of Health PB-PG-1216-20034Department of Health PDF-2012-05-193
6 · The paper itself

Abstract

objectivesSeveral decision aids can 'rule in' and 'rule out' acute coronary syndromes (ACS) in the Emergency Department (ED) but all require measurement of blood biomarkers. A decision aid that does not require biomarker measurement could enhance risk stratification at triage and could be used in the prehospital environment. We aimed to derive and validate the History and ECG-only Manchester ACS (HE-MACS) decision aid using only the history, physical examination and ECG.

methodsWe undertook secondary analyses in three prospective diagnostic accuracy studies that included patients presenting to the ED with suspected cardiac chest pain. Clinicians recorded clinical features at the time of arrival using a bespoke form. Patients underwent serial troponin sampling and 30-day follow-up for the primary outcome of ACS. The model was derived by logistic regression in one cohort and validated in two similar prospective studies.

resultsThe HE-MACS model was derived in 796 patients and validated in cohorts of 474 and 659 patients. HE-MACS incorporated age, sex, systolic blood pressure plus five historical variables to stratify patients into four risk groups. On validation, 5.5 and 12.1% (pooled total 9.4%) patients were identified as 'very low risk' (potential immediate rule out) with a pooled sensitivity of 99.5% (95% confidence interval: 97.1-100.0%).

conclusionUsing only the patient's history and ECG, HE-MACS could 'rule out' ACS in 9.4% of patients while effectively risk stratifying remaining patients. This is a very promising tool for triage in both the prehospital environment and ED. Its impact should be prospectively evaluated in those settings.

Indexed as

Decision Support TechniquesAcute Coronary SyndromeAgedChest PainDatabases, FactualDiagnosis, DifferentialElectrocardiographyEmergency Service, HospitalFemaleHospital MortalityHumansIncidenceMaleMiddle AgedMyocardial InfarctionReproducibility of ResultsTroponin T

Identifiers

PMID30289775
PMCPMC6728057
OpenAlexW2889493126

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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.