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Record W2117344944

Influence of novel and conventional antipsychotic medication on subjective quality of life.

2001· article· en· W2117344944 on OpenAlexaff
R Tempier, Nicole Pawliuk

Bibliographic record

VenuePubMed · 2001
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsMcGill University Health CentreMontreal General Hospital
Fundersnot available
KeywordsSchizoaffective disorderSchizophrenia (object-oriented programming)AntipsychoticQuality of life (healthcare)PsychiatryPsychologyMedicineClinical psychologyPsychosisPsychotherapist
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the impact of novel antipsychotic medication on the subjective quality of life of patients with schizophrenia and schizoaffective disorders. DESIGN: Retrospective, cross-sectional analysis of data from 2 studies conducted in 1997 and 1998. PATIENTS: 91 outpatients (50 men and 41 women, mean age 43.3 years) diagnosed with schizophrenia (n = 70) and schizoaffective disorder (n = 21); the mean Global Assessment of Functioning score for these patients was 48.0 (standard deviation 12.5). OUTCOME MEASURE: Patients were categorized into 1 of 3 groups: those taking conventional (n = 41), novel (n = 26) or mixed (both conventional and novel) (n = 24) antipsychotics. Responses on the Satisfaction with Life Domains Scale were used to assess subjective quality of life. RESULTS: The type of antipsychotic medication taken did not influence satisfaction with life scores; in fact, 2 items dealing with social relationships were scored lower by those taking novel antipsychotics. CONCLUSIONS: Patients taking novel antipsychotics may expect more from life, and this might explain their lower quality-of-life 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)0.001
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 score0.001
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.067
GPT teacher head0.336
Teacher spread0.270 · 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

Citations23
Published2001
Admission routes1
Has abstractyes

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