Evidence map›Paper›PMID 40556842›Full record

ArticleQatar medical journal2025

Typical and atypical presentations of myocardial infarction: Symptoms and associated risk factors.

Lina Rasmi AIMbaidin, Raja' Qasaimeh, Rou'eyh Qasaimeh, Hayat Al-Ali, Mohammad Al-Abidalrazag, Saba Atieh, Ashraf A Zaghloul

Abstract read
In one paragraph

Article in Qatar medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Lina Rasmi AIMbaidinPreventive and Community Medicine Department, Hamad Medical Corporation, Doha, Qatar.
Raja' QasaimehDepartment of Obstetrics and Gynecology, Princess Badea Hospital, Irbid, Jordan.
Rou'eyh QasaimehFaculty of Medicine, Hashemite University, Zarqa, Jordan.
Hayat Al-AliUniversiti Sains Malaysia, School of Health Sciences, Kubang Kerian, Kota Bharu, Kelantan, Malaysia.
Mohammad Al-AbidalrazagEmergency Medicine Hospital, Albasheer Hospitals, Amman, Jordan.
Saba AtiehDepartment of Medical Laboratory Science, Al-Ahliyya Amman University, Amman, Jordan.
Ashraf A ZaghloulHigh Institute of Public Health Alexandria University, Alexandria, Egypt *Email: lalmbaidin@hamad.qa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Introduction: Acute myocardial infarction (AMI) affects around 3 million people annually worldwide. Typical symptoms prompt timely care, while atypical symptoms may delay diagnosis and treatment, increasing the risks of heart failure and sudden cardiac death. Objective/Purpose: This study aimed to compare typical and atypical myocardial infarction (MI) presentations to enhance early diagnosis, treatment, and prognosis by examining clinical characteristics, chronic comorbidities, history of coronary artery disease, and smoking status at a tertiary hospital in Amman. Methods: This purposive, descriptive, retrospective study was conducted at the coronary care unit of Al Basheer Hospital in Amman, Jordan, from July 1, 2022, to July 1, 2023. Records of patients diagnosed with MI (ICD-10 code I21) were extracted. Data were analyzed using the IBM SPSS Statistics software (version 25.0). Tests of association were adjusted at the 5% significance level. Results: The study included 267 MI cases: 60.3% were typical, and 39.7% were atypical. No significant differences were found among age ( Conclusion: The study found that atypical MI was linked to higher rates of diabetes and coronary artery disease history compared to typical MI. Recurrence rates, artery involvement, and echocardiography results were similar between both types.

Indexed as

Acute myocardial infarction (AMI)atypicaldelayed diagnosisJordantypical

Identifiers

PMID40556842
PMCPMC12183662

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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.