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Record W2065700945 · doi:10.1001/archdermatol.2009.264

Alefacept for Severe Alopecia Areata

2009· article· en· W2065700945 on OpenAlex
Bruce Strober, Kavita Menon, Amy McMichael, Maria Hordinsky, Gerald G. Krueger, Jackie Panko, Kimberly Siu, Jonathan L. Lustgarten, Elizabeth K. Ross, Jerry Shapiro

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

VenueArchives of Dermatology · 2009
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineAlopecia areataDermatologyPlaceboScalpPsoriasisHair lossClinical trialFood and drug administrationSeverity of illnessRandomized controlled trialInternal medicinePharmacology

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the efficacy of alefacept for the treatment of severe alopecia areata (AA). DESIGN: Multicenter, double-blind, randomized, placebo-controlled clinical trial. SETTING: Academic departments of dermatology in the United States. PARTICIPANTS: Forty-five individuals with chronic and severe AA affecting 50% to 95% of the scalp hair and resistant to previous therapies. Intervention Alefacept, a US Food and Drug Administration-approved T-cell biologic inhibitor for the treatment of moderate to severe plaque psoriasis. Main Outcome Measure Improved Severity of Alopecia Tool (SALT) score over 24 weeks. RESULTS: Participants receiving alefacept for 12 consecutive weeks demonstrated no statistically significant improvement in AA when compared with a well-matched placebo-receiving group (P = .70). Conclusion Alefacept is ineffective for the treatment of severe AA.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.317

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.010
GPT teacher head0.269
Teacher spread0.258 · 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