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Record W2312753591 · doi:10.1097/yic.0b013e328363aa5a

Ten year outcomes of outpatients with schizophrenia on conventional depot antipsychotics

2013· article· en· W2312753591 on OpenAlexaff
Takahito Uchida, Takefumi Suzuki, Hitoshi Sakurai, Chisa Tsutsumi, Ryosuke Den, Masaru Mimura, Hiroyuki Uchida

Bibliographic record

VenueInternational Clinical Psychopharmacology · 2013
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsDepotSchizophrenia (object-oriented programming)PsychiatryMedicinePolitical science

Abstract

fetched live from OpenAlex

Long-term follow-up data of patients with schizophrenia on depot antipsychotics have been few and the longest follow-up period has been up to 7 years. We carried out a systematic chart review to examine 10-year outcomes for outpatients with schizophrenia who were receiving a conventional depot antipsychotic. Maintenance of outpatient status for 10 years was considered as a favorable outcome. From the initial sample of 1587 outpatients, 90 patients who were receiving a depot antipsychotic were included in this study (mean±SD, age 44.0±13.0 years; men, N=54). Haloperidol decanoate, fluphenazine decanoate, fluphenazine enanthate, and haloperidol decanoate plus fluphenazine enanthate were used in 53 (58.9%), 29 (32.2%), seven (7.8%), and one (1.1%) patients, respectively. These depot antipsychotics accounted for 36.9% of the total antipsychotic dosage on average. Seventeen patients (18.9%) successfully maintained outpatient status for 10 years. The most frequent reason for dropout was 'hospitalization' (N=49, 54.4%), followed by 'referral to another clinic/hospital' (N=9, 10.0%) and 'side effects' (N=7, 7.8%). As only 36.9% of the chlorpromazine equivalents were administered through depot antipsychotics, it is difficult to draw any firm conclusion. Still, the data suggest that even depot antipsychotics may not sufficiently prevent relapse in the treatment of schizophrenia.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.996

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)0.0050.001

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 head0.089
GPT teacher head0.481
Teacher spread0.392 · 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.

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
Published2013
Admission routes1
Has abstractyes

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