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Record W2010173526 · doi:10.1517/14740338.2014.905540

Do we need to worry about mycophenolate overdose?

2014· letter· en· W2010173526 on OpenAlexaff
Guido Filler, Amaryllis Ferrand

Bibliographic record

VenueExpert Opinion on Drug Safety · 2014
Typeletter
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsChildren's Hospital of Western OntarioLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineMycophenolic acidPharmacokineticsIntensive care medicineMycophenolateDrug overdoseObservational studyPharmacologyEmergency medicineTransplantationInternal medicinePoison control

Abstract

fetched live from OpenAlex

INTRODUCTION: To discuss the significance of the recent observational case series from the Swiss Toxicological Information Centre (STIC). Mycophenolic acid (MPA) and its prodrug mycophenolate mofetil are immunosuppressive agents that are frequently prescribed in renal transplant recipients, and their safety profiles must be established. AREAS COVERED: This case series and systemic literature analysis consists of 15 cases of MPA overdose from the STIC and a systemic analysis of the literature over the past 18 years. This study focuses on acute overdosing, the effects of which are presumably mild. In contrast, the effects of long-term overdosing may be much more severe. Substantial underreporting is likely. The pharmacokinetic monitoring of MPA is rarely performed, which is both striking and does not coincide with findings in academic literature. The scant data on pharmacokinetic monitoring presented demonstrated that MPA has a short terminal half-life, which suggests that decontamination and activated charcoal treatment in acute overdose may not be necessary. EXPERT OPINION: The case series and systematic literature analysis of acute mycophenolate overdose represent an important contribution toward increasing the safety of MPA therapy.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.028
GPT teacher head0.321
Teacher spread0.292 · 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; both teacher heads agree on what is shown here.

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

Citations8
Published2014
Admission routes1
Has abstractyes

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