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Record W2157647476 · doi:10.1002/da.20579

Trichotillomania in youth: a retrospective case series

2009· article· en· W2157647476 on OpenAlexaff
Catherine Mancini, Michael Van Ameringen, Beth Patterson, William Simpson, Christine Truong

Bibliographic record

VenueDepression and Anxiety · 2009
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsMcMaster UniversityMcMaster University Medical Centre
Fundersnot available
KeywordsDiscontinuationAntipsychoticAnxietyClinical Global ImpressionPsychiatryRetrospective cohort studyAtypical antipsychoticPsychologySerotonin reuptake inhibitorAdverse effectMedicineGlobal Assessment of FunctioningInternal medicineSchizophrenia (object-oriented programming)PlaceboAntidepressant

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of this study was to investigate the outcome of the naturalistic treatment of youth with Trichotillomania (TTM) in an anxiety disorders clinic sample. METHODS: A retrospective chart review was conducted on 11 treated patients between the ages of 6 and 17, with DSM-IV TTM. RESULTS: Ten patients were initially treated with a serotonin reuptake inhibitor (SRI), whereas one patient was initially treated with an antipsychotic. Three of the 10 patients who started with an SRI had a response (Clinical Global Impression-Improvement Scale (CGI-I)>or=2) in TTM symptoms. Nine patients of the 11 patients were treated with an antipsychotic medication (in 8 patients the antipsychotic was added after an initial trial with an SRI, in 1 patient the antipsychotic was the first line agent), 2 patients remained on an SRI; 8/9 were responders to antipsychotic treatment and 2 patients remitted (complete cessation of hair pulling). Adverse events to the SRI or antipsychotic were experienced by 7/11 patients but did not lead to treatment discontinuation. CONCLUSIONS: This retrospective case series suggests that youth with TTM maybe responsive to pharmacological interventions with SRIs and/or antipsychotic agents, although the response seemed to be more robust with antipsychotics. These preliminary findings will need to be replicated in a larger scale controlled design.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score0.606

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 head0.010
GPT teacher head0.276
Teacher spread0.266 · 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

Citations7
Published2009
Admission routes1
Has abstractyes

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