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Record W4313436642 · doi:10.4103/jdds.jdds_21_22

Topical Immunotherapy for Alopecia Areata: A Successful Diphenylcyclopropenone Protocol

2022· article· en· W4313436642 on OpenAlexaff
Melika Motamedi, Kush Bapujib, Navdeep Dhaliwal

Bibliographic record

VenueJournal of Dermatology & Dermatologic Surgery · 2022
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAlopecia areataMedicineDermatologyAdverse effectHair lossImmunotherapyPharmacologyInternal medicineCancer

Abstract

fetched live from OpenAlex

Alopecia areata (AA) is an autoimmune disorder that involves the destruction of anagenic hair follicles, resulting in non-scarring patchy hair loss. The patient presented in the following case had not seen improvement by use of conventional treatments and was started on topical immunotherapy, diphenylcyclopropenone (DPCP). This agent is commonly left as a last resort due to its constant need for follow-up, clinician-required administration, and risk of adverse effects. The following case presents a titration schedule using DPCP, resulting in minimal adverse effects and dramatic improvement in hair regeneration.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
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 head0.026
GPT teacher head0.303
Teacher spread0.277 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Dermatology & Dermatologic SurgerySame topicHair Growth and DisordersFrench-language works237,207