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Record W158631941 · doi:10.1177/120347541201600407

Safety and Efficacy of Adalimumab for the Treatment of Severe Alopecia Areata: Case Series of Three Patients

2012· article· en· W158631941 on OpenAlexafffund
Chantal Bolduc, Robert Bissonnette

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2012
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsInnovaderm (Canada)
FundersAbbott Canada
KeywordsMedicineAdalimumabAlopecia areataDermatologySurgeryProspective cohort studyClinical trialInternal medicineTumor necrosis factor alpha

Abstract

fetched live from OpenAlex

BACKGROUND: Current therapeutic options for extensive alopecia areata (AA) often lead to disappointing results. OBJECTIVE: To study the efficacy and safety of adalimumab in patients with severe AA. METHODS: This was a prospective, open-label, single-center, pilot study. Three subjects of the planned 10 were enrolled and received two weekly subcutaneous (SC) loading doses of adalimumab 80 mg followed by 40 mg SC every week for 6 months. Patients were evaluated for efficacy and safety on a monthly basis. RESULTS: Enrolment in this trial was stopped following publication of studies showing no improvement in patients with AA treated with tumor necrosis factor α antagonists. One patient had a favorable response to adalimumab, whereas the two other patients had no benefit from the therapy. Adalimumab was well tolerated by patients with AA. CONCLUSION: Adalimumab was well tolerated in patients with AA but did not induce clinically significant hair regrowth.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.029
GPT teacher head0.266
Teacher spread0.237 · 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 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

Citations16
Published2012
Admission routes2
Has abstractyes

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