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Record W4212957612 · doi:10.1192/bjb.2021.126

Plus ça change? Switching lithium preparations

2022· article· en· W4212957612 on OpenAlexfundno aff
David A. Cousins, Thomas R. E. Barnes, Allan H. Young, Oriana Delgado, Carol Paton

Bibliographic record

VenueBJPsych Bulletin · 2022
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
FundersMedical Research CouncilServierSunovionCanadian Institutes of Health ResearchNational Institute for Health and Care ResearchH. Lundbeck A/SNational Institute of Mental HealthLivaNovaWellcome TrustVictoria General Hospital FoundationMichael Smith Health Research BCNational Alliance for Research on Schizophrenia and DepressionEli Lilly and Company
KeywordsLithium (medication)Lithium carbonateDiscontinuationInterchangeabilityFormularyMedicinePharmacologyInternal medicineComputer scienceChemistry

Abstract

fetched live from OpenAlex

Aims and method A supply disruption alert in 2020, now rescinded, notified UK prescribers of the planned discontinuation of Priadel® (lithium carbonate) tablets. This service evaluation explored lithium dose and plasma levels before and after the switching of lithium brands, in order to determine the interchangeability of different brands of lithium from a pharmacokinetic perspective. Results Data on the treatment of 37 patients switched from Priadel® tablets were analysed. Switching to Camcolit® controlled-release tablets at the same dose did not result in meaningful differences in plasma lithium levels. Dose adjustment and known or suspected poor medication adherence were associated with greater variability in plasma lithium levels on switching brands. Clinical implications For comparable pre- and post-switch doses in adherent patients, the most common brands of lithium carbonate appear to produce similar plasma lithium levels. British National Formulary guidance relating to switching lithium brands may be unnecessarily complex.

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)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.004

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 head0.038
GPT teacher head0.298
Teacher spread0.261 · 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 designNot applicable
Domainnot available
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

Citations1
Published2022
Admission routes1
Has abstractyes

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