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Record W4413970223 · doi:10.1093/jscr/rjaf669

Left paraduodenal hernia, a diagnostic challenge

2025· article· en· W4413970223 on OpenAlexaff
Evelyne Wassef, Maher Al-Khaldi, François Dagbert, Éric De Broux, Marianne Gagnon-Konamna, Rasmy Loungnarath, Richard Ratelle, Carole Richard, Frank Schwenter, Ramsès Wassef, Herawaty Sebajang

Bibliographic record

VenueJournal of Surgical Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicIntestinal and Peritoneal Adhesions
Canadian institutionsCentre Hospitalier de l’Université de MontréalUniversité de MontréalCegep Edouard Montpetit
Fundersnot available
KeywordsMedicineGeneral surgery

Abstract

fetched live from OpenAlex

Left paraduodenal hernias, an abnormal protrusion of abdominal organs through a peritoneal defect into the fossa of Landzert, are a rare cause of small bowel obstruction. We present the case of a 21-year-old man with intermittent abdominal pain over several months. Diagnostic laparoscopy confirmed a left paraduodenal hernia. The hernia was reduced, and the fossa of Landzert was left widely open. This condition presents a diagnostic challenge, as symptoms are non-specific and imaging may appear unremarkable. Prompt diagnosis is essential to avoid complications such as strangulation and ischemia. Unlike conventional approaches, our surgical strategy involved enlarging and intentionally leaving the hernial defect open-justified by anatomical and pathophysiological reasoning. At 21-month follow-up, the patient remained symptom-free. This case highlights the importance of maintaining a high index of suspicion in similar clinical presentations and proposes an alternative surgical technique for managing this rare internal hernia.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.005
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.314
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2025
Admission routes1
Has abstractyes

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