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Record W2591373659 · doi:10.14740/wjon1006e

Acute Pancreatitis Related to a Chemotherapy Drug

2017· article· en· W2591373659 on OpenAlexvenueno aff
Ghulam Murtaza, Anadil Faqah, Nicholas Konowitz, Hannah Lu, Aneesh Kuruvilla, Sujeen Adhikari

Bibliographic record

VenueWorld Journal of Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePazopanibDiscontinuationPancreatitisAcute pancreatitisAbdominal painRenal cell carcinomaGastroenterologyInternal medicineTyrosine-kinase inhibitorCancerSunitinib

Abstract

fetched live from OpenAlex

Drug-induced acute pancreatitis is a rare cause of pancreatitis. We present a case of pancreatitis caused by pazopanib, a tyrosine kinase inhibitor used in the treatment of renal cell carcinoma. A 57-year-old male with no risk factors for pancreatitis and a past medical history of renal cell carcinoma who was being treated with pazopanib presented with epigastric pain with radiation to the back. Lipase was elevated to 7,960 units/L. Pazopanib was discontinued on arrival and his lipase levels decreased from 7,960 to 3,380 units/L one day after discontinuation. Abdominal pain resolved and patient tolerated a diet. This case illustrates the importance that medical professionals should be aware of acute pancreatitis as a rare but severe side effect of pazopanib and therefore should monitor and educate their patients accordingly.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.344
Teacher spread0.330 · 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 teacher head, not a consensus.

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

Citations13
Published2017
Admission routes1
Has abstractyes

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