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Record W2017957960 · doi:10.4103/0378-6323.45141

Life quality assessment among patients with vitiligo: Comparison of married and single patients in Iran

2008· article· en· W2017957960 on OpenAlex
Vida Feizy, MohsenRezaei Hemami, Marjan Dolatshahi, Payam Ghazi

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

VenueIndian Journal of Dermatology Venereology and Leprology · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsMcGill University
Fundersnot available
KeywordsVitiligoPhototypeMarital statusQuality of life (healthcare)MedicineDermatology Life Quality IndexAffect (linguistics)PopulationDiseaseDermatologyDemographyPsychologyInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: Vitiligo is known to affect the quality of social and personal life in some countries. This study aims to assess the quality of life (QOL) in vitiligo sufferers among the Iranian population and to evaluate its relation with different variables. METHODS: One hundred vitiligo patients answered a questionnaire based on the Dermatology Life Quality Index (DLQI). RESULTS: The mean DLQI score was 8.16. There were statistically significant relationships between DLQI scores and marital status, skin phototype, and disease extension independently. CONCLUSIONS: This study shows that vitiligo has a major impact on the QOL of patients in Iran. Hence dermatologists should pay attention to the psychological effects of this cosmetic disease and try to decrease its extension and disfiguring effects by various treatments.

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 score0.006
Threshold uncertainty score0.466

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 studies0.0000.001
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 head0.019
GPT teacher head0.280
Teacher spread0.261 · 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