Evidence map›Paper›PMID 30667327›Full record

ArticleWestern journal of nursing research2019

Acute Coronary Syndrome Symptom Clusters: Illustration of Results Using Multiple Statistical Methods.

Catherine J Ryan, Karen M Vuckovic, Lorna Finnegan, Chang G Park, Lani Zimmerman, Bunny Pozehl, Paula Schulz, Susan Barnason, Holli A DeVon

Abstract readMulticenter Study
In one paragraph

Article in Western journal of nursing research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Trial
  3. Symptom profiles in patients receiving maintenance hemodialysis and their association with quality of life: a longitudinal study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
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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

9 authors.

Catherine J Ryan1 The University of Illinois at Chicago, IL, USA.
Karen M Vuckovic1 The University of Illinois at Chicago, IL, USA.
Lorna Finnegan1 The University of Illinois at Chicago, IL, USA.
Chang G Park1 The University of Illinois at Chicago, IL, USA.
Lani Zimmerman2 University of Nebraska Medical Center, Omaha, NE, USA.
Bunny Pozehl2 University of Nebraska Medical Center, Omaha, NE, USA.
Paula Schulz2 University of Nebraska Medical Center, Omaha, NE, USA.
Susan Barnason2 University of Nebraska Medical Center, Omaha, NE, USA.
Holli A DeVon1 The University of Illinois at Chicago, IL, USA.ORCID 0000-0002-4526-9631

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

Researchers have employed various methods to identify symptom clusters in cardiovascular conditions, without identifying rationale. Here, we test clustering techniques and outcomes using a data set from patients with acute coronary syndrome. A total of 474 patients who presented to emergency departments in five United States regions were enrolled. Symptoms were assessed within 15 min of presentation using the validated 13-item ACS Symptom Checklist. Three variable-centered approaches resulted in four-factor solutions. Two of three person-centered approaches resulted in three-cluster solutions.

Indexed as

Cluster AnalysisModels, StatisticalSyndromeAcute Coronary SyndromeChecklistFemaleHumansMaleMiddle AgedProspective StudiesUnited Statesacute coronary syndromecluster analysislatent class analysissymptom clusterssymptoms

Identifiers

PMID30667327
PMCPMC6570558

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.