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Record W2397789844

Lichen planopilaris: update on pathogenesis and treatment.

2013· article· en· W2397789844 on OpenAlexaff
Akerke Baibergenova, Jeff Donovan

Bibliographic record

VenuePubMed · 2013
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineScarring alopeciaDermatologyScalpHair lossHair follicleInfundibulumHair transplantationHydroxychloroquineBiopsyPathologyDiseaseInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Lichen planopilaris (LPP) is considered to be a follicular variant of lichen planus. Clinical variants include classic LPP, frontal fibrosing alopecia, and the Graham-Little-Piccardi-Lassueur syndrome. The pathogenesis of LPP remains to be fully elucidated, but like other cicatricial alopecias involves the irreversible destruction of hair follicle stem cells and loss of a hair follicle's capacity to regenerate itself In the early stages of LPP, patients may have scalp pruritus, burning, tenderness, and increased hair shedding. A scalp biopsy shows a lymphocytic infiltrate involving the isthmus and infundibulum. Apoptotic cells present in the external root sheath and concentric fibrosis surrounds the hair follicle. Treatment is prescribed with the goal to alleviate patient symptoms and to halt the progression of hair loss. Treatment involves use of potent topical corticosteroids and/or intralesional corticosteroids. Options for systemic treatment include anti-inflammatory agents such as hydroxychloroquine, tetracyclines, pioglitazones, and immunosuppressive medications such as cyclosporine, mycophenolate mofetil, or systemic corticosteroids. Hair transplantation may also be an option if the disease has been in clinical remission. The management of LPP can sometimes be challenging and additional research is needed to improve outcomes for patients.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0000.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.003

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 head0.017
GPT teacher head0.202
Teacher spread0.186 · 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 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

Citations32
Published2013
Admission routes1
Has abstractyes

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