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Record W2338984503 · doi:10.1136/dtb.2015.11.0364

Ivermectin cream for rosacea

2015· article· en· W2338984503 on OpenAlexaff
Gita Gupta, Deanne Daigle, Aditya K. Gupta, Linda Stein Gold

Bibliographic record

VenueDrug and Therapeutics Bulletin · 2015
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsMediprobe Research (Canada)
Fundersnot available
KeywordsIvermectinRosaceaMedicineDemodexDermatologyEtiologyMiteVeterinary medicineBiologyInternal medicine

Abstract

fetched live from OpenAlex

Rosacea is a chronic facial skin disease that mainly occurs in people aged over 30 years. It is common, with an estimated incidence of 1·7 per 1,000 person-years in general practice in the UK.(1,2) Rosacea can cause embarrassment, anxiety, low self-esteem and lack of confidence.(3) A new topical treatment has become available for the treatment of one of the clinical subtypes of rosacea. Ivermectin 10mg/g (1%) cream (Soolantra-Galderma) has received marketing authorisation for the treatment of inflammatory lesions of papulopustular rosacea in adults.(4) Here we review the safety and effectiveness of ivermectin cream in the treatment of rosacea and assess how it compares with standard therapies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.332

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 head0.033
GPT teacher head0.293
Teacher spread0.260 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

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