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Record W3199663345 · doi:10.1186/s12245-021-00374-5

Recurrent acute pancreatitis during a ketogenic diet—a case report and literature review

2021· article· en· W3199663345 on OpenAlexaff
Joseph Choi, Tayler L. Young, Lucas B. Chartier

Bibliographic record

VenueInternational Journal of Emergency Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsUniversity of OttawaUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsKetogenic dietMedicineAcute pancreatitisPancreatitisAbdominal painPresentation (obstetrics)AngiologyHypertriglyceridemiaPediatricsDiabetes mellitusEmergency departmentIntensive care medicineInternal medicineEndocrinologySurgeryPsychiatryEpilepsyTriglyceride

Abstract

fetched live from OpenAlex

BACKGROUND: The ketogenic ("keto") diet has been gaining more attention lately in the medical literature and the lay media as a potentially effective method for weight control and management of type 2 diabetes. Though rare, there have been case reports of serious side effects. Here, we present a peculiar case of pancreatitis presumably associated with the ketogenic diet. CASE PRESENTATION: A 35-year-old man on a calorie-restricted ketogenic diet presented to the emergency department with weekly abdominal pain on Monday mornings, each time after dietary indiscretions ("cheat days") on the weekend. It was found that he had a clinical presentation consistent with acute pancreatitis with no associated alcohol use, hypertriglyceridemia, pancreatic obstruction, or other anatomic abnormalities. The patient's symptoms resolved with conservative management and progressive reintroduction of a standard diet. CONCLUSION: This case indicates that the ketogenic diet could lower the threshold for acute pancreatitis, and that an episodic stressor may trigger an acute attack in the absence of traditional risk factors.

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: none
Teacher disagreement score0.007
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.007
Science and technology studies0.0020.002
Scholarly communication0.0020.004
Open science0.0020.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.372
Teacher spread0.341 · 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

Citations9
Published2021
Admission routes1
Has abstractyes

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