Evidence map›Paper›PMID 42488545›Full record

ArticleFrontiers in cardiovascular medicine2026

Acute left main coronary artery occlusion with South African flag sign on electrocardiogram: a case report.

Fangming Zhong, Baiqing Lin, Qifeng Zhang

Abstract readCase Reports
In one paragraph

Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fangming ZhongDepartment of Cardiology, Meizhou People's Hospital, Meizhou, China.
Baiqing LinDepartment of Internal Medi I, Pingyuan County People's Hospital, Meizhou, China.
Qifeng ZhangDepartment of Cardiology, Meizhou People's Hospital, Meizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The South African flag sign (SAFS) in electrocardiogram (ECG) indicates that the patient may have acute high lateral wall myocardial infarction typically linked to first diagonal branch occlusion, and has rarely been documented in cases of Left Main Coronary Artery (LMCA) occlusion. Case presentation: A 69-year-old woman with primary hypertension presenting with chest pain for 1.5 h. Initial ECG findings indicated SAFS, suggesting a high lateral myocardial infarction initially believed to involve the first diagonal branch. However, emergent coronary angiography revealed an unexpected complete occlusion of the LMCA with no collateral flow (thrombolysis in myocardial infarction [TIMI] flow grade 0). The patient underwent successful percutaneous coronary intervention (PCI), which restored optimal blood flow (TIMI grade III). The patient was managed with a comprehensive medication regimen, leading to an uneventful recovery and discharge without complications. Follow-up assessments at one and six months showed no adverse cardiac events or symptoms. Conclusions: This case underscores the need for heightened clinical vigilance when interpreting ECG with SAFS, as it may indicate more severe coronary artery pathology. While a single case cannot redefine diagnostic paradigms, this observation broadens the differential diagnosis of SAFS and reinforces the principle that ECG pattern recognition should always be integrated with clinical context and confirmed by urgent coronary angiography when acute coronary occlusion is suspected.

Indexed as

electrocardiogramleft main coronary artery occlusionmyocardial infarctionpercutaneous coronary interventionSouth African flag sign

Identifiers

PMID42488545
PMCPMC13388398

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.