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Record W2626717210 · doi:10.1111/cts.12475

A Proton Pump Inhibitor in the Reformulation Setting: Bioequivalence and Potential Implications for Long‐Term Safety

2017· article· en· W2626717210 on OpenAlexaff
Elena Dubcenco, PM Beers-Block, LP Kim, Peter Schotland, J.G. Levine, CA McCloskey, Edward D. Bashaw

Bibliographic record

VenueClinical and Translational Science · 2017
Typearticle
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsBioequivalenceFood and drug administrationMedicineEquivalence (formal languages)Proton-pump inhibitorSafety profileIntensive care medicineTerm (time)PharmacologyPharmacokineticsInternal medicineAdverse effectMathematics

Abstract

fetched live from OpenAlex

Proton pump inhibitors (PPIs) have become known for both their therapeutic effect and good safety profile. An application was submitted to the US Food and Drug Administration for approval of a reformulated PPI product that failed bioequivalence testing, but was submitted on the basis of the long history of PPI use as a "surrogate" for equivalence. This review evaluates the safety data for PPIs, discuss variability of pharmacokinetic parameters of PPIs in the reformulation setting, and potential implications of those changes for long-term safety.

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)0.013
metaresearch head score (Gemma)0.019
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.002
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 head0.075
GPT teacher head0.431
Teacher spread0.356 · 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".

Quick stats

Citations5
Published2017
Admission routes1
Has abstractyes

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