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Record W4404970573 · doi:10.26416/psih.79.4.2024.10272

Tratamentul sialoreei induse de clozapină la pacienţii cu schizofrenie – studiu-pilot cu o suspensie extemporanee oromucozală de trospiu

2024· article· ro· W4404970573 on OpenAlexaboutno aff
Daniel Ungureanu, Adina Popa, Maria Bonea, Răzvan Pop, Roland Stretea, Cătălina‐Angela Crișan

Bibliographic record

VenuePsihiatru ro · 2024
Typearticle
Languagero
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsnot available
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Introdution. Clozapine is a life-saving drug in treatment-resistant schizophrenia (TRS). Clozapine-induced sialorrhea (CIS) is a common adverse effect that frequently leads to reduced treatment adherence and additional complications, thus affecting its efficacy in treatment-resistant schizophrenia. Objective. The aim of this article was to report two cases of CIS in two TRS patients who were treated using an extemporaneously compounded trospium oromucosal suspension. Methodology. The severity and frequency of CIS were evaluated using two different scales, the Toronto Nocturnal Hypersalivation Rating Scale (TNHR) and the Drooling Severity and Frequency Scale (DSF), before and during trospium treatment. Conclusions. We considered this trospium-based extemporaneously compounded oromucosal formulation as a promising solution for CIS and for maintaining clozapine adherence in patients with 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)0.001
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.299
Teacher spread0.277 · 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 designNon-randomized trial
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
Published2024
Admission routes1
Has abstractyes

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