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Record W1968831702 · doi:10.1097/med.0b013e32832b100a

Androgens and hair loss

2009· review· en· W1968831702 on OpenAlexaff
Adel Alsantali, Jerry Shapiro

Bibliographic record

VenueCurrent Opinion in Endocrinology Diabetes and Obesity · 2009
Typereview
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFinasterideDutasterideHair lossLocus (genetics)MedicinePathogenesisDermatologyBioinformaticsBiologyInternal medicineGeneticsGeneProstate

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Androgenetic alopecia (AGA) or male pattern hair loss is a very common condition that has a significant psychosocial impact for patients. Many advances in the pathogenesis and treatment of AGA have been discovered recently. We discuss the pathogenesis and treatment of AGA. RECENT FINDINGS: Wide genome analysis showed an association of AGA and chromosome 20pll in addition to androgen-receptor gene. Also, a locus on chromosome 3q26 was found to have a linkage with AGA. Dutasteride has been shown to be more effective than finasteride in the treatment of AGA but is not yet a recommended therapy. In an in-vitro study, a new topical liposomal finasteride formulation showed more than five-fold higher deposition of drug in skin than the corresponding plain drug solution. SUMMARY: These recent developments in the field of AGA hold some promise and may play a role in the future management.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.970
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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)0.0000.000

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 head0.053
GPT teacher head0.362
Teacher spread0.309 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations57
Published2009
Admission routes1
Has abstractyes

Explore more

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