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Acute Pancreatitis due to Erythromycin Overdose

2005· article· en· W2032915896 on OpenAlexaff
Marshall Tenenbein, Milton Tenenbein

Bibliographic record

VenuePediatric Emergency Care · 2005
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineEpigastric painErythromycinAsymptomaticPancreatitisAnesthesiaAcute pancreatitisAnalgesicInternal medicineGastroenterologyAntibioticsVomiting

Abstract

fetched live from OpenAlex

BACKGROUND: Antibiotic overdose is typically regarded as a benign event. We report a 15-year-old girl who developed pancreatitis after an overdose of erythromycin. CASE: A 15-year-old girl presented for care because of severe epigastric pain after an overdose of 5.3 g (16 x 333 mg tablets) of erythromycin base. Her physical examination was normal except for epigastric tenderness. Her serum lipase was 2024 U/L (normal, <60). She was treated with intravenous fluids and an opiate analgesic. Her serum lipase declined to 1834 and 73 U/L at 17 and 36 hours, respectively, after the initial measurement at which time she was asymptomatic. CONCLUSION: Our case supports transient pancreatitis as a potential consequence of erythromycin overdose.

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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
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 head0.009
GPT teacher head0.280
Teacher spread0.271 · 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

Citations21
Published2005
Admission routes1
Has abstractyes

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