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Record W4391450153 · doi:10.7759/cureus.53397

Acute Pancreatitis Leading to the Diagnosis of Presymptomatic Crohn’s Disease: A Pediatric Case Report

2024· article· en· W4391450153 on OpenAlexaboutno aff
Yuji Fujita, Keiichi Tominaga, Takanao Tanaka, Akira Yamamiya, Atsushi Irisawa, Kazuyuki Ishida, Takashi Ishige, Shigemi Yoshihara

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcute pancreatitisGastroenterologyPancreatitisCrohn's diseaseInternal medicineAbdominal painAutoimmune pancreatitisAsymptomaticInflammatory bowel diseaseDiarrheaPathologicalDisease

Abstract

fetched live from OpenAlex

A 14-year-old boy presented with fever and abdominal pain and was diagnosed with acute pancreatitis based on computed tomography findings. The patient had neither diarrhea nor bloody stool but was diagnosed with microcytic anemia. Endoscopic examination revealed a cobblestone pattern and longitudinal ulcer scars in the jejunum. However, no abnormal findings were observed in the ileum or colon. Endoscopic ultrasound-guided fine-needle aspiration was performed from pancreatic body-tail. Pathological examination revealed no evidence of autoimmune pancreatitis (AIP). It was unclear from pathological examination whether idiopathic pancreatitis had self-limitedly improved or whether it was AIP localized to the pancreatic head. The patient was diagnosed with asymptomatic small-bowel Crohn's disease (CD), which may have been two unrelated events of acute pancreatitis. Acute pancreatitis may precede a diagnosis of inflammatory bowel disease. CD with only jejunal involvement (Montreal classification L4) is extremely rare, and we were able to diagnose it early.

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)0.002
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0040.003
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 head0.316
Teacher spread0.297 · 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
Published2024
Admission routes1
Has abstractyes

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