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Record W2600119921 · doi:10.1093/schbul/sbx024.110

SU114. Switching to Clozapine Treatment in Patients With Schizophrenia: The Clinical Course, Remission, and Augmentation of Treatment After the Switch

2017· article· en· W2600119921 on OpenAlexaboutno aff
Şevin Hun Şenol, Gamze Gürcan

Bibliographic record

VenueSchizophrenia Bulletin · 2017
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsClozapineSchizophrenia (object-oriented programming)Global Assessment of FunctioningClinical Global ImpressionPsychiatryPsychopathologyPsychologyPositive and Negative Syndrome ScaleSeverity of illnessInternal medicineMedicinePsychosisPlacebo

Abstract

fetched live from OpenAlex

Background: This study aims to compare clinical features of schizophrenia patients before and after clozapine initiation and to investigate the clinical course of illness, clinical features, remission state, and augmentation methods under clozapine treatment. Methods: A total of 122 consecutive outpatients diagnosed with DSM-IV criteria for schizophrenia and receiving clozapine treatment were included. Patients were assessed with the Structured Clinical Interview for DSM-IV Axis I Disorders, Positive and Negative Syndrome Scale, Clinical Global Impression Scale, Global Assessment of Functioning, Calgary Depression Scale for Schizophrenia, Panic Agoraphobia Scale, Yale-Brown Obsessive Compulsive Scale, and the World Health Organization Disability Assessment Schedule-2.0 to determine the severity of psychopathology and comorbid symptoms, as well as the level of functioning and disability. The remission state of the patients was assessed utilizing the Schizophrenia Working Group’s remission criteria for schizophrenia. Results: The number of psychotic relapses, hospitalizations, and suicide attempts along with alcohol-drug misuse rates declined after the initiation of clozapine. The study group consisted of schizophrenia patients using clozapine for a mean period of 9 years, and 44.5% of these patients were found to be in a symptomatic remission state. No relationship was shown between remission state and clozapine dose/plasma levels. Education level was found to be higher, work status better, and comorbid symptom severity lower in remitted patients. There was no difference between remitted and not remitted patients in terms of the duration of clozapine use and age at disease onset. Education level, positive and negative symptom severity predicted achievement of remission on clozapine. The augmentation strategies were examined in patients showing partial response to clozapine, and combined antipsychotic drug use was found to be the most prevalent method utilized. Patients on augmentation treatment were on higher daily clozapine doses and their remission rates were lower. In addition, the severity of psychopathology related with schizophrenia and comorbid symptoms, the level of functioning and disability were worse in this particular patient group. History of antipsychotic combination use prior to clozapine was found to predict the future use of clozapine augmentation. Conclusion: Shortening the duration of switch to clozapine and avoiding antipsychotic combinations prior to clozapine use should both be considered as important goals in the management of treatment resistant 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 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)0.000
metaresearch head score (Gemma)0.001
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.022
GPT teacher head0.329
Teacher spread0.306 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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