Evidence map›Paper›PMID 33392519›Full record

ArticleJournal of the American College of Emergency Physicians open2020

Not all HEART scores are created equal: identifying "low-risk" patients at higher risk.

Kimon L H Ioannides, Benjamin C Sun, Aileen S Baecker, Rita F Redberg, Ming-Sum Lee, Maros Ferencik, Yi-Lin Wu, Ernest Shen, Chengyi Zheng, Visanee Musigdilok and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Not all HEART scores are created equal: identifying "low-risk" patients at higher risk.Journal of the American College of Emergency Physicians open · 2020
    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

12 authors at 5 institutions in 1 country.

Kimon L H IoannidesNational Clinician Scholars Program Department of Emergency Medicine University of California, Los Angeles Los Angeles California USA.ORCID https://orcid.org/0000-0002-6384-2235
Benjamin C SunDepartment of Emergency Medicine and the Leonard Davis Institute of Health Economics University of Pennsylvania Philadelphia Pennsylvania USA.
Aileen S BaeckerResearch and Evaluation Department Kaiser Permanente Southern California Pasadena California USA.
Rita F RedbergDivision of Cardiology University of California, San Francisco San Francisco California USA.
Ming-Sum LeeDivision of Cardiology Los Angeles Medical Center Kaiser Permanente Southern California Los Angeles California USA.
Maros FerencikKnight Cardiovascular Institute Oregon Health and Science University Portland Oregon USA.
Yi-Lin WuResearch and Evaluation Department Kaiser Permanente Southern California Pasadena California USA.
Ernest ShenResearch and Evaluation Department Kaiser Permanente Southern California Pasadena California USA.
Chengyi ZhengResearch and Evaluation Department Kaiser Permanente Southern California Pasadena California USA.
Visanee MusigdilokResearch and Evaluation Department Kaiser Permanente Southern California Pasadena California USA.
Stacy J ParkResearch and Evaluation Department Kaiser Permanente Southern California Pasadena California USA.
Adam L SharpResearch and Evaluation Department Kaiser Permanente Southern California Pasadena California USA.
Kaiser Permanente · USOregon Health & Science University · USUniversity of California, Los Angeles · USUniversity of California, San Francisco · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe sought to identify sub-groups of "low-risk" HEART score patients (history, ECG, age, risk factors, and troponin) at elevated risk of acute myocardial infarction or death within 30 days.

methodsWe performed a secondary analysis of prospective emergency department (ED) encounters for suspected acute coronary syndrome in a large health system with low-risk HEART scores (0-5 points). Logistic regression using the 5 components of the HEART score analyzed the increase risk attributable to points from each of the 5 score components.

resultsOf 30,971 encounters among 28,992 unique patients, 135 (0.44%, 95% confidence interval [CI] = 0.37-0.51) experienced acute myocardial infarction or death. Risk increased for each component of the HEART score from 0 to 1 to 2 points (history, 0.4% to 0.5% to 0.6%; ECG, 0.3% to 0.7% to 0.7%; age, 0.2% to 0.3% to 0.7%; risk factors, 0.1% to 0.4% to 0.8%), except troponin, which had the highest risk with 1 point (troponin, 0.4% to 2.7% to 0.9%). Odds ratios from our regression, which adjusts for other components, showed a similar pattern (from 1 vs 0 and 2 vs 0 points, respectively: history, 1.0 and 1.8; ECG, 2.2 and 3.5; age, 1.2 and 2.1; risk factors, 2.4 and 4.2; and troponin, 6.0 and 3.6).

conclusionAmong "low-risk" suspected acute coronary syndrome encounters, increasing points within each of the 5 categories demonstrated small increases in risk of death or acute myocardial infarction, with the troponin and ECG components representing the largest risk increases.

Indexed as

acute coronary syndromechest paincoronary artery diseaseHEART scoremyocardial infarction

Identifiers

PMID33392519
PMCPMC7771830
OpenAlexW3109193066

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.