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Record W2288253960 · doi:10.1177/1203475415626686

Tazarotene 0.1% Cream as Monotherapy for Early-Stage Cutaneous T-Cell Lymphoma

2016· article· en· W2288253960 on OpenAlexafffundabout
Catherine Besner Morin, David Roberge, Irina Turchin, Tina Petrogiannis‐Haliotis, Gizelle Popradi, Kevin Pehr

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2016
Typearticle
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsUniversity of FrederictonUniversité de MontréalMcGill UniversityJewish General Hospital
FundersAllerganSmith and NephewMcGill University
KeywordsMedicineTazaroteneDermatologyMycosis fungoidesCutaneous T-cell lymphomaErythemaStage (stratigraphy)SurgeryLymphomaInternal medicinePsoriasis

Abstract

fetched live from OpenAlex

BACKGROUND: Numerous treatments are available for cutaneous T-cell lymphoma (CTCL), including systemic retinoids. Very few data are available on topical retinoids. OBJECTIVES: The aim of this study was to evaluate the safety and efficiency of tazarotene as monotherapy for early-stage CTCL. METHODS: An open-label, prospective study of tazarotene as monotherapy for stages IA to IIA CTCL was conducted. Index lesions on 10 patients were followed for 6 months on treatment, plus at least 6 months off treatment. RESULTS: Six patients (60%) showed complete response (CR). Erythema, scaling, thickness, and lesion area decreased progressively throughout treatment. The mean time to CR was 3.8 months; CR was durable for at least 6 months in 83%. Of the 4 patients (40%) without CR, 2 (20%) had stable disease and 2 (20%) stopped the medication because of local side effects; none showed progression. CONCLUSIONS: This is the first Canadian trial providing evidence that topical tazarotene has excellent potential as a monotherapy agent for stages I to IIA CTCL.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
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 head0.033
GPT teacher head0.313
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations18
Published2016
Admission routes3
Has abstractyes

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Same venueJournal of Cutaneous Medicine and SurgerySame topicCutaneous lymphoproliferative disorders researchFrench-language works237,207