Evidence map›Paper›PMID 39624604›Full record

ArticleJournal of caring sciences2024

Development of the Acute Coronary Syndrome Predictive Scale.

Shahla Elyaszadeh, Sevda Gardashkhani, Mehdi Heidarzadeh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of caring sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

3 authors.

Shahla ElyaszadehStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0003-2320-5503
Sevda GardashkhaniStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0002-4172-5134
Mehdi HeidarzadehDepartment of Medical-Surgical Nursing, Nursing and Midwifery School, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID https://orcid.org/0000-0003-4302-8882

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The use of a predictive scale for acute coronary syndrome (ACS) can play an essential role in screening high-risk individuals. This study aimed to develop the ACS predictive scale (ACS-PS) and investigate its construct validity, reliability, sensitivity and specificity. Methods: This was a retrospective methodological study with the aim of developing a predictive scale for ACS in Iran in 2019. In this study, the content validity (content validity index [CVI] and content validity ratio [CVR]), construct validity, sensitivity, specificity, cutoff point and internal consistency of the 13-item scale for predicting ACS (in Persian) were investigated. Participants included patients with a definite diagnosis of ACS (n=150) and a healthy group without ACS (n=143). Results: The score range of the 13-item scale was 0-130, and with a cutoff point of 11.5, both the sensitivity and specificity of the scale were 0.75. Cronbach's alpha coefficient was 0.80. Conclusion: The present study introduced a sensitive and specific scale for predicting ACS. The ACS-PS is a partially short-form scale and requires less time to complete.

Indexed as

Acute coronary syndromePredictive scaleProdromal symptomPsychometric properties

Identifiers

PMID39624604
PMCPMC11608408

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Registered trials

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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.