Evidence map›Paper›PMID 42022703›Full record

ArticleCureus2026

Giant Hiatal Hernia Mimicking Acute Coronary Syndrome: A Case Report.

Mazen Mohandes, Mohamed Ghaith Al Abdin, Yousef M Alawi, Nazmus Saquib, Muhammed S Shahid

Abstract readCase Reports
In one paragraph

Article in Cureus, 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

5 authors.

Mazen MohandesCollege of Medicine, Sulaiman Al Rajhi University, Al Bukairiyah, SAU.
Mohamed Ghaith Al AbdinCollege of Medicine, Sulaiman Al Rajhi University, Al Bukairiyah, SAU.
Yousef M AlawiCollege of Medicine, Sulaiman Al Rajhi University, Al Bukairiyah, SAU.
Nazmus SaquibCollege of Medicine, Sulaiman Al Rajhi University, Al Bukairiyah, SAU.
Muhammed S ShahidCollege of Medicine, Sulaiman Al Rajhi University, Al Bukairiyah, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hiatal hernia is a condition that involves the herniation of abdominal contents, most commonly the stomach, through the esophageal hiatus into the thoracic cavity. While often asymptomatic, large hiatal hernias can cause compression of mediastinal structures, producing symptoms that mimic acute coronary syndrome (ACS) such as chest pain, dyspnea, and elevated cardiac biomarkers. A 68-year-old woman with hypertension presented with five days of right-sided chest pain radiating to the back with nausea. Laboratory evaluation revealed elevated high-sensitivity troponin I (267.2 ng/L), pro-B-type natriuretic peptide (713 pg/mL), and D-dimer (1606 ng/mL fibrinogen-equivalent units (FEU)). Initial electrocardiogram showed non-specific findings. Chest X-ray demonstrated a retrocardiac opacity with gas-filled bowel loops and mediastinal shift, suspicious for a large hiatal hernia. Pulmonary embolism was ruled out via computed tomography (CT) pulmonary angiography. CT scan of the chest and abdomen confirmed a large hiatal hernia containing most of the stomach and part of the left colon. The patient was managed conservatively with intravenous fluids, serial cardiac biomarker monitoring, and thromboembolic prophylaxis. Her symptoms and biomarkers gradually improved, and surgical intervention was deferred due to age and comorbidities. This case highlights the diagnostic challenge posed by giant hiatal hernias mimicking ACS. Early recognition through imaging can prevent unnecessary invasive procedures, reduce healthcare costs, and guide appropriate management.

Indexed as

acute coronary syndrome mimicscardiac biomarkerschest painhiatal herniamediastinal compression

Identifiers

PMID42022703
PMCPMC13099005

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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.