Evidence map›Paper›PMID 36720034›Full record

Trial reportDimensions of critical care nursing : DCCN

Association of Symptoms and Mode of Transportation to Emergency Department in Patients With Acute Coronary Syndrome.

Leslie L Davis, Thomas P McCoy, Barbara Riegel, Sharon McKinley, Lynn V Doering, Debra K Moser

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Dimensions of critical care nursing : DCCN. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 1 institution in 2 countries.

Leslie L Davis
Thomas P McCoy
Barbara Riegel
Sharon McKinley
Lynn V Doering
Debra K Moser
University of Technology Sydney · AU

Funding

TRIAD Center for Health DisparitiesP20MD002289 · NIMHD · UNIVERSITY OF NORTH CAROLINA GREENSBORO · PI WALLACE, DEBRA C. · 2007 to 2015
$10.6M
NIMHD NIH HHS P20 MD002289
6 · The paper itself

Abstract

backgroundPatients with acute coronary syndrome (ACS) with symptoms matching their expectations of a heart attack are more likely to use emergency medical services (EMS) than not.

objectiveTo determine whether presenting symptom clusters are associated with EMS use in ACS patients and if EMS use or symptom clusters are associated with prehospital delay.

methodsThis secondary analysis used data from the PROMOTION trial, a randomized clinical trial that enrolled 3522 subjects with a history of or at risk for ACS from 5 sites in the United States, Australia, and New Zealand. Subjects were randomized to usual care or an educational intervention to reduce prehospital delay. During the 2-year follow-up, subjects admitted for ACS were asked about symptoms, time of symptom onset, and mode of transportation to the hospital. Symptoms were grouped into classic ACS, pain symptoms, and stress symptoms clusters.

resultsOf 3522 subjects enrolled, 331 sought care for ACS during follow-up; 278 had transportation mode documented; 121 (44%) arrived via EMS. Classic ACS plus pain symptoms (adjusted odds ratio [AOR], 2.66; P = .011), classic ACS plus stress symptoms (AOR, 2.61; P = .007), and classic ACS plus both pain and stress symptoms (AOR, 3.90; P = .012) were associated with higher odds of EMS use versus classic ACS symptoms alone. Emergency medical services use resulted in a 68.5-minute shorter median delay (P = .002) versus non-EMS use. Symptom clusters were not predictive of delay time in the adjusted model (P = .952). DISCUSSION: Although chest symptoms were the most prevalent symptoms for most (85%), the combination of classic ACS symptoms with other symptom clusters was associated with higher EMS use. Further research is needed to determine whether a combination of symptom clusters helps patients correctly interpret ACS symptoms to better understand how symptom clusters influence EMS use.

Indexed as

Acute Coronary SyndromeEmergency Medical ServicesMyocardial InfarctionEmergency Service, HospitalHumansPainUnited States

Identifiers

PMID36720034
PMCPMC9897491
OpenAlexW4318499200

What OpenQuestion holds

Textmetadata
LicenceTDM
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.