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Record W1974273367 · doi:10.1089/104454603322572679

The Kutcher Adolescent Depression Scale: Assessment of Its Evaluative Properties over the Course of an 8-Week Pediatric Pharmacotherapy Trial

2003· article· en· W1974273367 on OpenAlexaff
Sarah J. Brooks, Stanley P. Krulewicz, Stan Kutcher

Bibliographic record

VenueJournal of Child and Adolescent Psychopharmacology · 2003
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsClinical Global ImpressionParoxetineDepression (economics)Global Assessment of FunctioningRating scalePlaceboPsychologySeverity of illnessPhysical therapyClinical trialClinical psychologyMedicinePsychiatryInternal medicineAnxietyDevelopmental psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: Self-report instruments commonly used to assess depression in adolescents have limited or unknown psychometric properties in this age group. We report the evaluative properties of the Kutcher Adolescent Depression Scale (KADS), a self-report scale designed specifically for identifying depressed adolescents and for monitoring symptom severity over time. METHODS: One hundred and six adolescents with major depression disorder (MDD) enrolled in an 8-week, double-blind, placebo-controlled study of paroxetine. Efficacy assessments were conducted on days 0 (baseline), 7, 14, 21, 28, 42, and 56 using the self-rated KADS and the clinician-rated Children's Depression Rating Scale-Revised (CDRS-R), Clinical Global Impression (CGI) of severity, and Global Assessment of Functioning (GAF) scale. The data were initially examined to establish which of the 16 KADS items showed greatest sensitivity to change. Subsequent analyses then compared the evaluative properties of three versions of the KADS: the full-length KADS, a six-item subscale previously established as a screening tool, and an 11-item subscale optimized for sensitivity to change. RESULTS: Within-subject correlations among subjects' KADS scores and their clinician-rated scale scores showed that clinician-rated changes in severity were significantly better corroborated by the 11-item KADS (mean correlations with the CDRS-R, CGI, and GAF: r = 0.69, 0.60, and -0.70, respectively) than by the six-item KADS (r = 0.62, 0.56, and -0.63, respectively) and at least as well corroborated as by the full-length KADS (r = 0.64, 0.56, and -0.67, respectively). Furthermore, in terms of mean percentage change in scores from day 0 to day 56, the 11-item KADS (59%) significantly outperformed the full-length KADS (46%) and all three clinician-rated scales (43%, 37%, and 29%, respectively) and at least matched the performance of the six-item KADS (56%). CONCLUSIONS: These results suggest that the 11-item self-rated KADS is a sensitive measure of treatment outcome in adolescents diagnosed with MDD.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.369
Teacher spread0.340 · 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 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

Citations118
Published2003
Admission routes1
Has abstractyes

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