Evidence map›Paper›PMID 34954742›Full record

ArticleThe Journal of cardiovascular nursing

Characterizing Pain Leading to Emergency Medical Services Activation in Heart Failure.

Asa B Smith, Miyeon Jung, Christopher Lee, Susan J Pressler

Open access · greenAbstract read
In one paragraph

Article in The Journal of cardiovascular nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Asa B Smith
Miyeon Jung
Christopher Lee
Susan J Pressler
Indiana University – Purdue University Indianapolis · USAustralian Catholic University · AU

Funding

Advanced Training in Self-Management Interventions for Serious Chronic ConditionsT32NR018407 · NINR · INDIANA UNIVERSITY INDIANAPOLIS · PI KNOPF, AMELIA S, MILLER, WENDY RENEE · 2019 to 2023
$1.8M
NINR NIH HHS T32 NR018407
6 · The paper itself

Abstract

backgroundPain is a common but understudied symptom among patients with heart failure (HF) transported by emergency medical services (EMS). The aims were to determine explanatory factors of a primary complaint of pain and pain severity, and characterize pain among patients with HF transported by EMS.

methodsData from electronic health records of patients with HF transported by EMS within a midwestern United States county from 2009 to 2017 were analyzed. Descriptive statistics, χ 2 , analysis of variance, and logistic and multiple linear regression analyses were used.

resultsThe sample (N = 4663) was predominantly women (58.1%) with self-reported race as Black (57.7%). The mean age was 64.2 ± 14.3 years. Pain was the primary complaint in 22.2% of the sample, with an average pain score of 6.8 ± 3.1 out of 10. The most common pain complaint was chest pain (68.1%). Factors associated with a primary pain complaint were younger age (odds ratio [OR], 0.97; 95% confidence interval [CI], 0.96-0.97), history of myocardial infarction (OR, 1.96; 95% CI, 1.55-2.49), and absence of shortness of breath (OR, 0.67; 95% CI, 0.58-0.77). Factors associated with higher pain severity were younger age ( b = -0.05, SE = 0.013), being a woman ( b = 1.17, SE = 0.357), and White race ( b = -1.11, SE = 0.349).

conclusionsClinical and demographic factors need consideration in understanding pain in HF during EMS transport. Additional research is needed to examine these factors to improve pain management and reduce transports due to pain.

Indexed as

Emergency Medical ServicesHeart FailureAgedChest PainFemaleHumansMaleMiddle AgedOdds RatioWhite People

Identifiers

PMID34954742
PMCPMC9218008
OpenAlexW4200315652

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.