Evidence map›Paper›PMID 31193421›Full record

ArticleInternational journal of cardiology. Heart & vasculature2019

Clinical characteristics and outcomes of ST-segment elevation myocardial infarction in a low income setting in rural Bangladesh.

Dong-Yeon Kim, Zubin Wala, Saidul Islam, Rabiul Islam, Mihong Ahn

Abstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Acute coronary syndrome treatment delay in low to middle-income countries: A systematic review.International journal of cardiology. Heart & vasculature · 2021
    Article
  5. Observational
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

5 authors.

Dong-Yeon Kim
Zubin Wala
Saidul Islam
Rabiul Islam
Mihong Ahn

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn rural areas of Bangladesh, the majority of patients with ST segment elevation myocardial infarction (STEMI) have little access to reperfusion therapy. Even though thrombolysis can be an affordable life-saving treatment in a low income setting, there are few publications in regards to the clinical and socioeconomic features of STEMI with thrombolytic therapy in rural Bangladesh.

methodThe information of the patients who were admitted for STEMI between 2010 and 2016 from one rural hospital were collected and reviewed. This audit evaluated clinical outcomes and socioeconomic characteristics of the patients.

result164 patients with STEMI were identified in the period and 136 patients (82.93%) underwent thrombolysis. The mean pain-to-door time was 472 min (7.87 h ± 12.40). Only 5.49% of the patients traveled to hospital by ambulances. Overall in-hospital mortality rate and major adverse cardiovascular event (MACE) after STEMI were 19.51% (32/164), 23.17% (38/164), respectively. The need of inotropics (Odds ratio [OR] 16.43, 95% confidence interval [CI] 1.99-135.75, P < 0.01), the use of defibrillation due to ventricular arrhythmias (OR 33.58, 95% CI 2.96-380.49, P < 0.01) were independent predictors of increased in-hospital mortality.

conclusionIn a rural hospital of Bangladesh, in-hospital mortality rate after STEMI is high in spite of thrombolysis and adherence to published guidelines. The prolonged pain-to-door time and the poor coverage of ambulance services in our study highlight the need of community awareness of acute coronary syndrome and comprehensive emergency medical services in rural Bangladesh.

Indexed as

BangladeshLow income settingSTEMIThrombolysis

Identifiers

PMID31193421
PMCPMC6527896

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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.