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Record W3198529699 · doi:10.3138/canlivj-2021-0015

Palbociclib-induced severe hepatitis: A case study and literature review

2021· article· en· W3198529699 on OpenAlex
Jessie Jean Hyppolite

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Liver Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsUniversité de MontréalMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsPalbociclibMedicineLetrozoleAdverse effectAromatase inhibitorMetastatic breast cancerBreast cancerOncologyLeukopeniaInternal medicineCancerPharmacologyToxicityAromatase

Abstract

fetched live from OpenAlex

Palbociclib is a selective and reversible CDK4/6 inhibitor approved for patients presenting with HR+ HER2– locally advanced or metastatic breast cancer. Its adverse effect (AE) is mainly reported on the occurrence of leukopenia and fatigue. Even though palbociclib has an extensive hepatic metabolism, there are rare reports about significant liver toxicity. We present the case of a 61-year-old female with metastatic breast cancer treated with palbociclib and an aromatase inhibitor (letrozole). The patient developed a rare AE of severe acute drug-induced hepatitis but improved dramatically after stopping the palbociclib and receiving treatment with N-acetylcysteine (NAC). The treatment with NAC may be a proof of concept for the mechanism of palbociclib liver injury.

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.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.283
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