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Record W1866416827 · doi:10.18433/j3kc7p

Literature Values of Terminal Half-Lives of Clozapine are Dependent on the Time of the Last Data Point

2014· letter· en· W1866416827 on OpenAlexaffvenue
Jim Fang, Karen Mosier

Bibliographic record

VenueJournal of Pharmacy & Pharmaceutical Sciences · 2014
Typeletter
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsClozapineTerminal (telecommunication)PharmacokineticsTherapeutic windowMedicineTime pointEnd pointDrugPsychologyPharmacologyPsychiatrySchizophrenia (object-oriented programming)Computer sciencePhilosophy

Abstract

fetched live from OpenAlex

The pharmacokinetics of clozapine is a subject of intensive research because of its narrow therapeutic window and susceptibility to drug-drug interactions. A systematic literature search was conducted in PubMed and Google Scholar for half-life values of clozapine in humans. Twenty-one publications were found to contain terminal half-life information of clozapine in humans along with the time of the last plasma sample. Average values of the terminal half-lives of clozapine were calculated to be 10.2, 13.2, 14.2, 18.3 and 29.2 hours with a last data point at 12, 24, 48, 72 and 120 hours, respectively. This confirms the notion that one would arrive at longer terminal half-lives when longer blood sampling times are used in pharmacokinetic studies on clozapine. "Terminal half-lives" of therapeutic agent are routinely computed and reported in literature. For drugs with a third deep compartment such as clozapine, one should remember to consider the time of the last data point when comparing the "terminal" half-life.

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)0.003
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.122
GPT teacher head0.419
Teacher spread0.297 · 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.

Study designObservational
DomainMethods
GenreCommentary

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

Citations14
Published2014
Admission routes2
Has abstractyes

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