Evidence map›Paper›PMID 34195352›Full record

ArticleInternational journal of cardiology. Heart & vasculature2021

Acute coronary syndrome treatment delay in low to middle-income countries: A systematic review.

Lemlem Beza, Sharon L Leslie, Bekele Alemayehu, Rebecca Gary

Abstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Lemlem BezaCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Sharon L LeslieWoodruff Health Sciences Center Library, Emory University, Atlanta, Georgia.
Bekele AlemayehuCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Rebecca GaryNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although morbidity and mortality rates are declining for acute coronary syndrome (ACS) in most high-income countries, it is rising at an alarming pace for low to middle income countries (LMICs). A major factor that is contributing to the poor clinical outcomes among LMICs is largely due to prehospital treatment delays. This systematic review was conducted to determine the mean length of time from symptom onset to treatment in LMICs and the sociodemographic, clinical and health system characteristics that contribute to treatment delays. We conducted a comprehensive review of the relevant literature published in English between January 1990 through May 2020 using predefined inclusion and exclusion criteria. Twenty-nine studies were included and time to treatment was defined from ACS symptom onset to first medical contact and dichotomized further as less than or >12-hours. The mean time from symptom onset to first medical contact was 12.7 h which ranged from 10-minutes to 96 h. There was consensus among studies that being older, female, illiterate, living in a rural area, and financially limited was associated with longer treatment delays. Lack of a developed emergency transportation system, poor communication and organization between community facilities and interventional facilities were also cited as major contributors for ACS treatment delays. Findings from this systematic review provide future directions to potentially reduce prehospital delays in LMICs and improve ACS outcomes.

Indexed as

Acute coronary syndromeLow to middle income countriesPrehospital treatment delay

Identifiers

PMID34195352
PMCPMC8233123

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.