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Risperidone long-acting injection in the treatment of schizophrenia spectrum illnesses: A retrospective chart review of 19 patients in the Vancouver Community Mental Health Organization (Vancouver, Canada)

2007· article· en· W2049586890 on OpenAlexaffabout
Soma Ganesan, Mario McKenna, Ric M. Procyshyn, Sheldon Zipursky

Bibliographic record

VenueCurrent Therapeutic Research · 2007
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsRick Hansen FoundationRichmond HospitalUniversity of British Columbia HospitalRiverview HospitalVancouver General HospitalUniversity of British ColumbiaVancouver Hospital and Health Sciences Centre
Fundersnot available
KeywordsRisperidoneSchizophreniform disorderSchizoaffective disorderPsychiatryMedicineSchizophrenia (object-oriented programming)Delusional disorderAntipsychoticMental healthDiagnosis of schizophreniaRetrospective cohort studyPediatricsPsychosisInternal medicine

Abstract

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BACKGROUND: Schizophrenia is a chronic debilitating disease that affects ~110,000 Canadians (0.55% lifetime prevalence). Risperidone long-acting injection (RLAI) is the first injectable, long-acting, atypical antipsychotic drug marketed in Canada. OBJECTIVE: The aim of this study was to assess the clinical effectiveness and hospitalization rates of patients with schizophrenia, schizoaffective disorder, or schizophreniform disorder treated with RLAI in a community mental health care setting. METHODS: Data were collected between August 1, 2006 and September 30, 2006 via a retrospective chart review of outpatients diagnosed with schizophrenia, schizoaffective disorder, or schizophreniform disorder who received treatment from 1 of the 8 mental health teams within the Vancouver Community Mental Health Organization (VCMHO) in Vancouver, British Columbia, Canada. Collected data included: frequency and duration of institutional care, discharge and relapse rates, demographic variables, diagnosis history, RLAI medication history, and history of other medications. The overall severity of symptoms before and after RLAI treatment and the improvement in symptoms during treatment were evaluated using the Clinical Global Impression Scales for severity (CGI-S)(1 = not ill to 7 = extremely ill) and improvement (CGI-I)(1 = very much improved to 7 = very much worse). RESULTS: Forty-four patients were identified as having received RLAI. The charts of 19 patients (10 men, 9 women; mean [SD] age at time of chart audit, 36.7 [11.7] years; mean [SD] age at primary diagnosis, 23.6 [7.4] years; race: white, 10 [52.6%]; Asian, 6 [31.6%]; American Indian, 1 [5.3%]; black, 1 [5.3%]; other, 1 [5.3%]) were included in the analysis. The majority of patients (78%) had been treated with another antipsychotic drug prior to treatment with RLAI: risperidone (77%), quetiapine (47%), zuclopenthixol (43%), olanzapine (43%), and loxapine (17%). Mean (SD) CGI-S Scale score declined significantly from 5.29 (1.3) before treatment initiation to 3.05 (1.0) posttreatment (P < 0.001). Mean (SD) CGI-I Scale score was 2.58 (0.71) (P < 0.001); 94% of patients had a CGI-I score ≤3. Mean (SD) duration of hospitalization decreased significantly from 15.7 (19.7) days before treatment to 2.4 (6.0) days after treatment (P < 0.05). Mean (SD) number of hospializations also decreased significantly from 2.0 (1.8) before treatment to 0.5 (1.3) after treatment (P < 0.01). CONCLUSIONS: The results of this pilot study suggest that use of the atypical-antipsychotic medication RLAI significantly decreased duration and rates of hospitalization, compared with baseline, in these VCMHO patients with schizophrenia spectrum illnesses.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.333
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.064
GPT teacher head0.392
Teacher spread0.327 · 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

Citations4
Published2007
Admission routes2
Has abstractyes

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