Evidence map›Paper›PMID 27362513›Full record

Observational studyNursing research

Symptom Trajectories After an Emergency Department Visit for Potential Acute Coronary Syndrome.

Elizabeth P Knight, Kimberly Shea, Anne G Rosenfeld, Sarah Schmiege, Chiu-Hsieh Hsu, Holli A DeVon

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Nursing research. 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
0.2field-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, 5 citations in OpenAlex.

  1. Article
  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 1 country.

Elizabeth P KnightElizabeth P. Knight, DNP, PhD, RN,is Clinical Assistant Professor; Kimberly Shea, PhD, RN, is Clinical Associate Professor; and Anne G. Rosenfeld, PhD, RN, FAHA, FAAN, is Professor, College of Nursing, University of Arizona, Tucson. Sarah Schmiege, PhD, is Assistant Professor, University of Colorado-Denver College of Nursing. Chiu-Hsieh Hsu, PhD, is Associate Professor, University of Arizona College of Public Health, Tucson. Holli A. DeVon, PhD, RN, FAHA, FAAN, is Associate Professor, University of Illinois at Chicago College of Nursing.
Kimberly Shea
Anne G Rosenfeld
Sarah Schmiege
Chiu-Hsieh Hsu
Holli A DeVon
Marymount University · US

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

backgroundMany patients evaluated for acute coronary syndrome (ACS) in emergency departments (EDs) continue to experience troubling symptoms after discharge-regardless of their ultimate medical diagnosis. However, comprehensive understanding of common post-ED symptom trajectories is lacking.

objectivesThe aim of this study was to identify common trajectories of symptom severity in the 6 months after an ED visit for potential ACS.

methodsThis was a secondary analysis of data from a larger observational, prospective study conducted in five U.S. EDs. Patients (N = 1005) who had electrocardiogram and biomarker testing ordered, and were identified by the triage nurse as potentially having ACS, were enrolled. Symptom severity was assessed in the hospital after initial stabilization and by telephone at 30 days and 6 months using the validated 13-item ACS Symptom Checklist. Growth mixture modeling was used for the secondary analysis. The eight most commonly reported symptoms (chest discomfort, chest pain, chest pressure, light-headedness, shortness of breath, shoulder pain, unusual fatigue, and upper back pain) were modeled across the three study time points. Models with increasing numbers of classes were compared, and final model selection was based on a combination of interpretability, theoretical justification, and statistical fit indices.

resultsThe sample was 62.6% male with a mean age of 60.2 years (SD = 14.17 years), and 57.1% ruled out for ACS. Between two and four distinct trajectory classes were identified for each symptom. The seven different types of trajectories identified across the eight symptoms were labeled "tapering off," "mild/persistent," "moderate/persistent," "moderate/worsening," "moderate/improving," "late onset, "and "severe/improving." Trajectories differed on age, gender, and diagnosis. DISCUSSION: Research on the individual nature of symptom trajectories can contribute to patient-centered, rather than disease-centered, care. Further research is needed to verify the existence of multiple symptoms trajectories in diverse populations and to assess the antecedents and consequences of individual symptom trajectories.

Indexed as

Emergency Service, HospitalTriageAcute Coronary SyndromeAgedDecision Support TechniquesDyspneaFatigueFemaleHumansMaleMiddle Aged

Identifiers

PMID27362513
PMCPMC4930007
OpenAlexW2474868837

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.