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Record W2319323804 · doi:10.1111/jphp.12538

Investigation of the effect of food and omeprazole on the relative bioavailability of a single oral dose of 240 mg faldaprevir, a selective inhibitor of HCV NS3/4 protease, in an open-label, randomized, three-way cross-over trial in healthy participants

2016· article· en· W2319323804 on OpenAlexaff
Jing Wu, Thomas Gießmann, Benjamin Lang, Mabrouk Elgadi, Fenglei Huang

Bibliographic record

VenueJournal of Pharmacy and Pharmacology · 2016
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsBoehringer Ingelheim (Canada)
FundersBoehringer Ingelheim
KeywordsOmeprazoleCmaxBioavailabilityDosingPharmacologyMedicinePharmacokinetics

Abstract

fetched live from OpenAlex

OBJECTIVES: This study was conducted to investigate the effect of food and coadministration of omeprazole on the relative bioavailability (BA) of faldaprevir (FDV). METHODS: Fifteen healthy participants participated in this open-label, randomized, three-way cross-over study. Faldaprevir was administered as a 240 mg single dose during fasting state, following intake of a high-fat breakfast, or following omeprazole 40 mg q.d. dosing for 5 days. PK samples were collected on the day of faldaprevir administration. KEY FINDINGS: We found geometric mean (gMean) AUC0-∞ values for faldaprevir of 48 200, 37 900 and 36 000 ng h/ml under the fed, fasted and omeprazole coadministration conditions respectively. Similarly, gMean Cmax values for faldaprevir were 2600, 2030, 1920 ng/ml under the same respective conditions. The adjusted gMean ratio between the fed and fasted condition was approximately 120% for both AUC0-∞ and Cmax , while the ratio of omeprazole coadministration to fasted condition was approximately 94%. Faldaprevir was safe and well tolerated in the study. CONCLUSIONS: Administration of a single dose of 240 mg faldaprevir after high-fat breakfast led to a modest, clinically irrelevant increase in faldaprevir exposure, while coadministration of omeprazole did not influence faldaprevir exposure.

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)0.008
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.148
GPT teacher head0.449
Teacher spread0.301 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2016
Admission routes1
Has abstractyes

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