Evidence map›Paper›PMID 41322168›Full record

ArticlePOCUS journal2025

POCUS for Detection of Esophageal and Gastric Foreign Bodies.

Daniella Lamour, Jacqueline Jean-Gilles, David Kinas, Edward Lopez, Robert A Farrow

Abstract readCase Reports
In one paragraph

Article in POCUS journal, 2025. 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.

Daniella LamourMount Sinai Medical Center, Miami Beach, FL, USA.
Jacqueline Jean-GillesSt. George's University School of Medicine, University Centre Grenada, West Indies, Grenada, GRD.
David KinasMount Sinai Medical Center, Miami Beach, FL, USA.
Edward LopezMount Sinai Medical Center, Miami Beach, FL, USA.
Robert A FarrowMount Sinai Medical Center, Miami Beach, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Foreign body ingestion is a common and challenging complaint for physicians in the emergency department (ED). Although most foreign bodies pass naturally without surgical intervention, about 10-20% require removal based on their size, shape, and location within the gastrointestinal tract. X-rays and computed tomography (CT) scans are frequently used for evaluation. However, x-rays cannot detect radiolucent foreign bodies, both modalities emit ionizing radiation, and CT scans are notably expensive. Point of care ultrasound (POCUS) offers a valuable alternative for detecting foreign bodies, as it avoids radiation exposure, reduces costs, and is readily accessible. Case Series: We present a case series involving three distinct instances of foreign body ingestion, where POCUS enhanced patient outcomes and disposition. This series includes evidence on use of POCUS for an obstructed esophageal foreign body and two gastric foreign bodies in a stable patient and unstable altered patient suspected of medication overdose. Conclusion: POCUS is an effective tool for identifying foreign bodies in the upper gastrointestinal tract, especially when x-rays fail to visualize non-radiopaque materials or when attempting to minimize radiation from CT scans. It allows emergency physicians to quickly confirm the presence and precise location of foreign bodies in the gastrointestinal tract, leading to faster clinical decision making and reduced risk of complications, such as perforation or obstruction.

Indexed as

Esophageal foreign bodyPediatric foreign bodyPOCUS foreign bodyPOCUS upper GI tractPoint of care ultrasound

Identifiers

PMID41322168
PMCPMC12658578

What OpenQuestion holds

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LicenceCC BY
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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.