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Record W2143727121 · doi:10.1016/j.jssdds.2011.04.008

Adolescent’s acne: Scarring inside out!

2011· article· en· W2143727121 on OpenAlexaff
Ruaa Alharithy

Bibliographic record

VenueJournal of the Saudi Society of Dermatology & Dermatologic Surgery · 2011
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAcneMedicineAnxietyDepression (economics)Quality of life (healthcare)PsychiatryCohortMEDLINECohort studyClinical psychologyDermatologyInternal medicine

Abstract

fetched live from OpenAlex

Acne vulgaris is a common disturbing disease that affects the majority of adolescents, but its impact on mental health in this age group is poorly understood. (1) To raise the awareness of psychological impact of acne on adolescents. (2) Identify high risk patients and provide appropriate intervention to avoid long term consequences. A literature review was based on Medline search, PsychINFO, EMBASE and CINHAL using the terms acne vulgaris in combination with adolescents, self-esteem, psychology, psychiatry, suicide, anxiety and depression. Cross sectional and cohort studies of the last 10 years (2000–2010) were selected to be analyzed and discussed in this review. We identified 7 cross sectional studies and 1 cohort study (6918 patients). Overall reviewing of these articles showed that adolescents with acne suffer from more depressive symptoms, lower self esteem and lower quality of life when compared to adolescents without acne. Severity of acne was not related to these morbidities. How acne affects an adolescent’s wellbeing is underappreciated. Increased understanding of the psychiatric comorbidities associated with acne and identifying the high-risk patients and intervening early will ultimately improve the patient’s life.

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)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.058
GPT teacher head0.264
Teacher spread0.206 · 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
GenreOther

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

Citations6
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Saudi Society of Dermatology & Dermatologic SurgerySame topicAcne and Rosacea Treatments and EffectsFrench-language works237,207