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Record W4414650098 · doi:10.63050/jpps.22.03.340

THE USE OF CLOZAPINE IN PAKISTAN: A STUDY BASED ON CLOZARIL PATIENTS MONITORING SYSTEM (CPMS)

2025· article· en· W4414650098 on OpenAlexaboutno aff
Raza Ur Rehman, Saeed Farooq

Bibliographic record

VenueJournal of Pakistan Psychiatric Society · 2025
Typearticle
Languageen
FieldHealth Professions
TopicArtificial Intelligence in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsClozapineSchizophrenia (object-oriented programming)DrugMedical recordAntipsychoticQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

Clozapine is the drug of first choice for Treatment Resistant Schizophrenia (TRS) but it is underutilized and very little information is available about its use in developing countries. We analyzed the medical record of patients who are currently on the data base of Clozapine Monitoring System in Pakistan. Only 1256 patients, almost all concentrated in four major cities were receiving the Clozapine. The mean maintenance dose of Clozapine was 230mg and only a quarter of the psychiatrists working in Pakistan were prescribing Clozpine. The reasons for inadequate use of Clozapine need to be investigated and psychiatric training and perception of the drug needs to be improved in view of the estimated high prevalence of TRS in developing countries.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.320
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.103
GPT teacher head0.491
Teacher spread0.388 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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