Evidence map›Paper›PMID 30738603›Full record

ArticleJournal of emergency nursing2019

The Quality of Symptoms in Women and Men Presenting to the Emergency Department With Suspected Acute Coronary Syndrome.

Sahereh Mirzaei, Alana Steffen, Karen Vuckovic, Catherine Ryan, Ulf Bronas, Jessica Zegre-Hemsey, Holli A DeVon

Open access · greenAbstract read
In one paragraph

Article in Journal of emergency nursing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. 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

7 authors.

Sahereh Mirzaei
Alana Steffen
Karen Vuckovic
Catherine Ryan
Ulf Bronas
Jessica Zegre-Hemsey
Holli A DeVon

Funding

The Influence of Gender on Symptom Characteristics During Acute Coronary SyndromeR01NR012012 · NINR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DEVON, HOLLI A · 2010 to 2013
$1.9M
NINR NIH HHS R01 NR012012
6 · The paper itself

Abstract

introductionMore than 5.5 million patients present to emergency departments in the United States annually for potential acute coronary syndrome (ACS); however, diagnosing ACS remains a challenge in emergency departments. Our aim was to describe the quality of symptoms (chest discomfort/description of pain, location/radiation, and overall symptom distress) reported by women and men ruled-in and ruled-out for ACS in emergency departments.

methodsThe sample consisted of 1,064 patients presenting to emergency departments with symptoms that triggered cardiac workups. Trained research staff obtained data using the ACS Patient Information Questionnaire upon patient presentation to emergency departments.

resultsThe sample (n = 1,064) included 474 (44.55%) patients ruled-in and 590 (55.45%) patients ruled-out for ACS. Symptom distress was significantly higher in patients ruled-in versus ruled-out for ACS (7.3 ± 2.6 vs. 6.8 ± 2.5; P = 0.002) and was a significant predictor for an ACS diagnosis in men (odds ratio [OR], 1.10; confidence interval [CI], 1.03-1.17; P = 0.003). Women also reported more chest pressure (51.75% vs. 44.65; P = 0.02) compared with men, and chest pressure was a significant predictor for a diagnosis of ACS (OR, 1.61; CI, 1.03-2.53; P = 0.02). DISCUSSION: Higher levels of symptom distress may help ED personnel in making a decision to evaluate a patient for ACS, and the presence of chest pressure may aid in making a differential diagnosis of ACS.

Indexed as

Emergency Service, HospitalAcute Coronary SyndromeAge FactorsChest PainEmergency NursingFemaleHumansMaleMiddle AgedSex FactorsAcute coronary syndromeSex differencesSymptom distressSymptom quality

Identifiers

PMID30738603
PMCPMC6614000
OpenAlexW2912352559

What OpenQuestion holds

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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.