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Record W2095331666 · doi:10.1016/s0924-9338(00)00232-7

Comparison of four scales measuring depression in schizophrenic inpatients

2000· article· en· W2095331666 on OpenAlexaboutno aff
V.P. Kontaxakis, B.J. Havaki-Kontaxaki, S.S. Stamouli, Maria Margariti, C.T Collias, George N. Christodoulou

Bibliographic record

VenueEuropean Psychiatry · 2000
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsDepression (economics)Positive and Negative Syndrome ScaleRating scalePsychologySchizophrenia (object-oriented programming)PsychiatryClinical psychologyHamilton Rating Scale for DepressionPsychotic depressionPsychosisMajor depressive disorderDevelopmental psychologyMood

Abstract

fetched live from OpenAlex

Several scales have been used to diagnose and evaluate depression in schizophrenia. However, the association between different depression scales and between depression scales and negative symptoms has not been studied adequately. Sixty-four consecutively admitted schizophrenic patients to Eginition Hospital, Department of Psychiatry, Athens, were assessed on the following scales: the Calgary Depression Scale for Schizophrenia (CDSS), the Hamilton Depression Rating Scale (HDRS), the Expanded Brief Psychiatric Rating Scale-Depression subscale (EBPRS-D), the Positive and Negative Syndrome Scale-Depression subscale (PANSS-D) and the Negative Symptoms subscale (PANSS-N). The depression scales were found to be highly intercorrelated with the exception of the comparison between the EBPRS-D and the PANSS-D. Out of the four depression scales studied, only CDSS and EBPRS-D can discriminate between depression and a PANSS-Negative Symptoms subscale score or negative item scores.

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)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.324
Teacher spread0.280 · 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

Citations50
Published2000
Admission routes1
Has abstractyes

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