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Record W4388116239 · doi:10.1159/000534165

The Question of Adolescent and Postadolescent Acne: The Nigerian Experience

2023· article· en· W4388116239 on OpenAlex

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

VenueSkin Appendage Disorders · 2023
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAcneMedicineDermatologyInternal medicine

Abstract

fetched live from OpenAlex

Introduction: Differences between adolescent and postadolescent acne are increasingly being recognized. This study aimed to document the clinical profile of facial acne vulgaris and, additionally, to compare adolescent to postadolescent acne and any gender-based differences. Methods: Cross-sectional descriptive study of 261 facial acne vulgaris patients was conducted from February 2021 to March 2022 at three dermatology clinics. Patients had their anthropometric measurements, type of acne lesions, and severity and scarring assessed. Results: A total of 261 patients (75.5% females) with a mean age of 24.5 (±7.4) years were diagnosed to have facial acne vulgaris. The severity of acne was mild in 44.8%, moderate in 48.3%, and severe in 6.9%. Acne was noninflammatory in 69.7%, inflammatory in 13.0%, and mixed in 17.2%. Adolescent and postadolescent acne significantly differed in the type of acne, BMI, type of acne lesions, and acne scarring. Gender-based differences included BMI, lesions of acne, and severity. Conclusion: There is an increasing prevalence of postadolescent acne with persistent being the most common category. There are significant differences between adolescent and postadolescent acne: type of acne, BMI, type of acne lesions, and acne scarring. Gender-based differences exist in both adolescent and postadolescent acne.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.238

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 head0.008
GPT teacher head0.295
Teacher spread0.287 · 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