MétaCan
Menu
Back to cohort
Record W2011296465 · doi:10.1177/0091270005284388

The Effect of AST‐120 on the Single‐Dose Pharmacokinetics of Losartan and Losartan Acid (E‐3174) in Healthy Subjects

2006· article· en· W2011296465 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Clinical Pharmacology · 2006
Typearticle
Languageen
FieldChemistry
TopicAnalytical Methods in Pharmaceuticals
Canadian institutionsSupratek Pharma (Canada)
Fundersnot available
KeywordsLosartanPharmacokineticsPharmacologyMedicineInternal medicineAngiotensin IIReceptor

Abstract

fetched live from OpenAlex

AST-120 is an orally administered adsorbent used to slow the progression of chronic kidney disease (CKD). This was a randomized, open-label, 5-way crossover study to assess the effect of AST-120 on the pharmacokinetics of losartan and its active metabolite (E-3174) in healthy subjects. Losartan (100 mg) was administered alone under fasting (A) and fed (B) conditions, and results were compared when AST-120 (3 g thrice daily for 2 days) was administered 60 minutes after (C), 30 minutes prior to (D), and 30 minutes after (E) losartan. Plasma concentrations of losartan and E-3174 were assayed by high-performance liquid chromatography with mass spectrometry detection. Under fed conditions, treatment C had no significant effect on the AUC(0-t) and Cmax of losartan and E-3174. Treatments D and E resulted in a marked decrease in Cmax of losartan and E-3174. Therefore, administration of AST-120 60 minutes after losartan under fed conditions may be preferred over other dosing regimens for CKD patients.

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.

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)0.013
metaresearch head score (Gemma)0.004
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.078
GPT teacher head0.470
Teacher spread0.392 · 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