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Record W3014522627 · doi:10.7176/jstr/6-03-16

Evaluation of Psychological Factors in Alopecia Areata

2020· article· en· W3014522627 on OpenAlexaboutno aff
Yasemin Kurtoglu

Bibliographic record

VenueInternational Journal of Scientific and Technological Research · 2020
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsAlopecia areataAlexithymiaToronto Alexithymia ScaleDepression (economics)AnxietyMedicineDiseasePsychiatryOutpatient clinicBeck Depression InventoryInternal medicineClinical psychologyDermatology

Abstract

fetched live from OpenAlex

It is suggested that psychiatric disorders play a role in the pathogenesis of alopecia areata (AA), and the disease itself can lead to psychiatric disorders. The aim of this study is to evaluate the levels of depression, anxiety, and alexithymia in AA patients and to determine their relationship with the clinical features of the disease. The study included 73 AA patients and 73 healthy individuals. All participants were evaluated with the Beck depression scale, Beck anxiety scale and Toronto alexithymia scale. The severity of depression and anxiety symptoms of the patients were found to be significantly higher than the controls (p=,001 and p=,003, respectively). It was observed that there was no significant difference between the two groups in terms of the level of alexithymic properties (p =,059). In AA patients, there was no statistically significant relationship between psychiatric symptoms and the patient's age, duration of the disease and severity of the disease (p> 0.05). A significant relationship was observed between the level of depression and the sex of the patient (r = 0.43; p = 0.042). Consequently, because of the symptoms of depression and anxiety in AA patients, patients should not only be handled in terms of skin lesions but also should be evaluated psychologically and should be referred to the psychiatry outpatient clinic when necessary. Thus, we think that the success of treatment can be increased. Keywords: Alopecia areata, Depression, Anxiety, Alexithymia. Special Issue of Health Sciences DOI: 10.7176/JSTR/6-03-16

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)0.004
metaresearch head score (Gemma)0.008
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 score0.321
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.366
GPT teacher head0.509
Teacher spread0.143 · 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 designObservational
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

Citations0
Published2020
Admission routes1
Has abstractyes

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