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Record W4406371200 · doi:10.3390/cancers17020251

Diagnosis and Management of Skin Toxicities in Systemic Treatment of Genitourinary Cancers

2025· review· en· W4406371200 on OpenAlexaff
Deepro Chowdhury, Laura D Chin, Roupen Odabashian, Ali Fawaz, Christina Canil, Michael Ong, Mark G. Kirchhof, M. Neil Reaume, Ana-Alicia Beltran-Bless, Marie-France Savard, David J. Tsoulis, Dominick Bossé

Bibliographic record

VenueCancers · 2025
Typereview
Languageen
FieldMedicine
TopicChemotherapy-related skin toxicity
Canadian institutionsUniversity of AlbertaPrincess Margaret Cancer CentreUniversity of Ottawa
FundersEMD SeronoIpsenEli Lilly and CompanyAstraZenecaGaldermaAstellas PharmaSeagenGilead SciencesEisaiL'Oreal USAAmgenPfizer
KeywordsMedicineGenitourinary systemDermatologyDrugPsoriasisPharmacologyInternal medicine

Abstract

fetched live from OpenAlex

The landscape of available therapeutic options for treatment of genitourinary (GU) cancers is expanding dramatically. Many of these treatments have distinct, sometimes severe, skin toxicities including morbilliform, bullous, pustular, lichenoid, eczematous, psoriasiform, and palmoplantar eruptions. Pruritus and skin pigmentation changes have also been noted. This review aims to synthesize dermatologic events observed with antibody drug conjugates, poly (ADP-ribose) polymerase (PARP) inhibitors, androgen receptor pathway inhibitors, tyrosine kinase inhibitors, immune checkpoint inhibitors, and the combination of these agents used for the treatment of GU cancers. It provides a guide on diagnosis and initial management of these rashes for medical oncologists.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.035
GPT teacher head0.338
Teacher spread0.302 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations3
Published2025
Admission routes1
Has abstractyes

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