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Record W195011354

Pharmacogenomics of serious adverse drug reactions in pediatric oncology.

2011· article· en· W195011354 on OpenAlex

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.

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPharmacogenomicsMedicineDrug reactionCancerIntensive care medicineAdverse effectDrugCancer therapyPharmacotherapyCancer treatmentPediatricsInternal medicinePharmacology
DOInot available

Abstract

fetched live from OpenAlex

Adverse drug reactions (ADRs) rank as one of the top ten leading causes of death and illness in the developed world. In cancer therapy, more patients are surviving cancer than ever before, but 40% of cancer survivors suffer life-threatening or permanently disabling severe ADRs and are left with long-term sequelae. ADRs are often more frequent and more severe in children, and the consequences for children who experience a severe ADR can be catastrophic. Pharmacogenomics has the potential to improve the safety of these drugs. This review highlights severe ADRs that can occur in cancer therapy that are more frequent and more severe in children, and the pharmacogenomics research that aims to understand, predict, and ultimately prevent these severe reactions.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.244

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 integrity0.0000.000
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 head0.106
GPT teacher head0.343
Teacher spread0.238 · 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