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Record W4402793424 · doi:10.1155/2024/5117360

Fluoroscopic‐Guided Removal of Jejunal Sharp Foreign Body: An Alternative Approach to Surgery

2024· article· en· W4402793424 on OpenAlexaff
Abdulrahman Qatomah, Simon McQueen, Wafa Qatomah, Ali Bessissow

Bibliographic record

VenueCase Reports in Gastrointestinal Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicForeign Body Medical Cases
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineForeign bodyPerforationSurgeryIntervention (counseling)Presentation (obstetrics)StomachForeign Body RemovalEndoscopyGeneral surgeryIncisional herniaHerniaNursingInternal medicine

Abstract

fetched live from OpenAlex

Introduction . Foreign body (FB) ingestion represents a frequently encountered scenario in clinical practice. Most ingested FBs typically pass spontaneously, requiring no intervention. Endoscopic removal stands out as the least invasive method, with only a minimal 1% needing surgical intervention. Case Presentation . We present a case of a 30‐year‐old male who ingested multiple FBs located in the stomach and small bowel. While successful removal of the stomach FB was achieved through endoscopy, the second FB in the small bowel proved challenging due to perforation concerns and limited expertise. Given a history of prior surgical intervention resulting in a large incisional hernia, surgical removal was discouraged. Consequently, a collaborative decision involving surgeon and interventional radiologist (IR) led to the adoption of a fluoroscopic‐guided removal approach facilitated by IR techniques. Conclusion . This case highlights the potential for a less invasive alternative in situations where both endoscopic and surgical interventions are deemed not feasible.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.342
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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