Evidence map›Paper›PMID 26118542›Full record

ArticleHeart & lung : the journal of critical care

Symptom clusters in patients presenting to the emergency department with possible acute coronary syndrome differ by sex, age, and discharge diagnosis.

Anne G Rosenfeld, Elizabeth P Knight, Alana Steffen, Larisa Burke, Mohamud Daya, Holli A DeVon

Abstract read
In one paragraph

Article in Heart & lung : the journal of critical care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

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  14. The clinics of acute coronary syndrome.Annals of translational medicine · 2016
    Review
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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

6 authors.

Anne G RosenfeldUniversity of Arizona College of Nursing, 1305 N. Martin Ave., Tucson, AZ 85721-0203, USA. Electronic address: anner@email.arizona.edu.
Elizabeth P KnightUniversity of Arizona College of Nursing, 1305 N. Martin Ave., Tucson, AZ 85721-0203, USA.
Alana SteffenUniversity of Illinois at Chicago College of Nursing, 845 S. Damen Ave., #748 MC 802 Chicago, IL 60612, USA.
Larisa BurkeUniversity of Illinois at Chicago College of Nursing, 845 S. Damen Ave., #748 MC 802 Chicago, IL 60612, USA.
Mohamud DayaOregon Health & Science University, Department of Emergency Medicine, 3181 SW Sam Jackson Park Rd. Portland, OR 97239, USA.
Holli A DeVonUniversity of Illinois at Chicago College of Nursing, 845 S. Damen Ave., #748 MC 802 Chicago, IL 60612, USA.

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

objectivesTo identify classes of individuals presenting to the ED for suspected ACS who shared similar symptoms and clinical characteristics.

backgroundDescribing symptom clusters in undiagnosed patients with suspected ACS is a novel and clinically relevant approach, reflecting real-world emergency department evaluation procedures.

methodsSymptoms were measured using a validated 13-item symptom checklist. Latent class analysis was used to describe symptom clusters.

resultsThe sample of 874 was 37% female with a mean age of 59.9 years. Four symptom classes were identified: Heavy Symptom Burden (Class 1), Chest Symptoms and Shortness of Breath (Class 2), Chest Symptoms Only (Class 3), and Weary (Class 4). Patients with ACS were more likely to cluster in Classes 2 and 3. Women and younger patients were more likely to group in Class 1.

conclusionsFurther research is needed to determine the value of symptom clusters in the ED triage and management of suspected ACS.

Indexed as

Emergency Service, HospitalTriageAcute Coronary SyndromeAdultAgedAged, 80 and overAge FactorsDyspneaFatigueFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesSex FactorsAcute coronary syndromeAgeDiagnosisLatent class analysisRaceSexSymptom clusters

Identifiers

PMID26118542
PMCPMC4567428

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.