Evidence map›Paper›PMID 41948230›Full record

ArticleCureus2026

Needle in a Radiologic Haystack: A Report of Duodenal Toothpick Perforation With Negative X-ray and CT Imaging.

Jonathan Warren, Niresh Perera, Flor Lema, William Shyy

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

4 authors.

Jonathan WarrenEmergency Medicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, USA.
Niresh PereraEmergency Medicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, USA.
Flor LemaEmergency Medicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, USA.
William ShyyEmergency Medicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foreign body ingestions are a common presentation in the emergency department. Many of these involve sharp or pointed objects, which may be challenging to detect when made of radiolucent material such as wood. While computed tomography (CT) increases sensitivity, perforation and mucosal injury are often diagnosed late because of false-negative scans. We report the rare case of duodenal toothpick perforation with negative radiographic imaging. A 25-year-old male presented to urgent care after suspected accidental ingestion of a toothpick. The patient had no symptoms and no recollection of toothpick ingestion. After a normal X-ray, he was referred to the emergency department, where CT imaging of the neck, chest, and abdomen did not reveal any foreign body or secondary inflammatory changes. Gastroenterology was consulted and performed an endoscopy, identifying a 4-5 cm wooden toothpick embedded in and perforating the second portion of the duodenum. The foreign body was removed without complications. This case highlights the importance of high clinical suspicion when encountering asymptomatic patients with potential foreign body ingestion of sharp radiolucent objects, even in the absence of radiographic or laboratory evidence of perforation. Endoscopic evaluation in these patients may be warranted to prevent delayed presentation and complications.

Indexed as

emergency medical servicepocus (point of care ultrasoundpoint-of-care-ultrasoundprehospitalultrasound

Identifiers

PMID41948230
PMCPMC13053065

What OpenQuestion holds

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LicenceCC BY
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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.