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Record W1975493627 · doi:10.1097/cad.0b013e328333d679

Radiation recall dermatitis triggered by multi-targeted tyrosine kinase inhibitors: sunitinib and sorafenib

2009· article· en· W1975493627 on OpenAlex
Caroline Chung, Laura A. Dawson, Anthony M. Joshua, Anthony Brade

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

VenueAnti-Cancer Drugs · 2009
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-related skin toxicity
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsSunitinibSorafenibPlatelet-derived growth factor receptorCancer researchMedicineTyrosine kinaseVascular endothelial growth factorPathophysiologyReceptor tyrosine kinaseTyrosine-kinase inhibitorRecallCancerPharmacologyInternal medicineOncologyReceptorVEGF receptorsGrowth factorPsychologyHepatocellular carcinoma

Abstract

fetched live from OpenAlex

Small molecule tyrosine kinase inhibitors are rapidly being integrated into the management of cancer. This is the first report of sorafenib and sunitinib, both small molecule tyrosine kinase inhibitors of vascular endothelial growth factor and platelet-derived growth factor receptors, triggering radiation recall dermatitis. The pathophysiology of radiation recall is poorly understood, and several possible mechanisms have been proposed. The clinical presentations of these two cases were consistent with one hypothesized mechanism of radiation recall, an idiosyncratic drug hypersensitivity reaction.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score1.000

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 head0.012
GPT teacher head0.277
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