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Record W4417417688 · doi:10.28982/josam.8234

Abdominal pain post bariatric procedure: What is the cause?

2025· article· W4417417688 on OpenAlexaff
Léa Tessier, Daniel Meyer, Emily Heath, Kyoo-Yoon Choi

Bibliographic record

VenueJournal of Surgery and Medicine · 2025
Typearticle
Language
FieldMedicine
TopicOmental and Epiploic Conditions
Canadian institutionsUniversity of CalgaryMcMaster University
Fundersnot available
KeywordsLaparoscopyAbdominal painGastric bypassAbdominal surgeryComplicationAcute abdominal painMesenteric ischemiaInfarction

Abstract

fetched live from OpenAlex

Omental ischemia after bariatric surgery is a rare cause of abdominal pain. We report a case of a 42-year-old female with a history of Roux-en-Y gastric bypass (RYGB) presenting with abdominal pain. Despite biochemical, radiologic, and endoscopic investigation, no cause was identified. Ultimately, diagnostic laparoscopy revealed ischemic omentum. Post-operatively, her symptoms resolved. This case highlights the diagnostic challenges in patients post-RYGB presenting with abdominal pain with no clear cause. Division of the omentum is common practice during RYGB in the case of an antecolic Roux limb. This may predispose patients to omental infarction and ischemia, and as such, suspicion should be high when initial investigations are equivocal. The potential role of omental division during RYGB warrants further investigation. Furthermore, this case reinforces the importance of diagnostic laparoscopy in select cases. Rare causes of abdominal pain, such as omental ischemia, should be considered in patients who are post- RYGB. When initial investigations are negative, early diagnostic laparoscopy should be considered.

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)0.000
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.288
Teacher spread0.265 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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