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Record W4324057567 · doi:10.25251/skin.7.supp.188

Sustained hair regrowth with ritlecitinib to Week 48 in patients with alopecia areata: post hoc analysis of the ALLEGRO phase 2b/3 study

2023· article· en· W4324057567 on OpenAlexaff
Melissa Piliang, Charles Lynde, Brett King, Paradi Mirmirani, Rodney Sinclair, Robert Wołk, Samuel H. Zwillich, Helen Tran, Fan Zhang, Liza Takiya

Bibliographic record

VenueSKIN The Journal of Cutaneous Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsUniversity of Toronto
FundersConcert PharmaceuticalsPfizerEli Lilly and Company
KeywordsAlopecia areataPost-hoc analysisPost hocMedicineHair growthDermatologyHair lossDentistryInternal medicinePhysiology

Abstract

fetched live from OpenAlex

Sustained hair regrowth with ritlecitinib to Week 48 in patients with alopecia areata: post hoc analysis of the ALLEGRO phase 2b/3 study CONCLUSIONS • In this post hoc analysis, sustained scalp hair regrowth through Week 48 was observed in the majority of patients with AA who had a SALT score ≤20 or ≤10 response after Week 24 of ritlecitinib treatment• The safety profile of ritlecitinib up to Week 48 in SALT ≤20 responders was consistent with that of the overall study population, which has been reported previously 3

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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.266
Teacher spread0.257 · 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 designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueSKIN The Journal of Cutaneous MedicineSame topicHair Growth and DisordersFrench-language works237,207