Evidence map›Paper›PMID 27600136›Full record

ArticleThe AAPS journal2016

Utilizing In Vitro Dissolution-Permeation Chamber for the Quantitative Prediction of pH-Dependent Drug-Drug Interactions with Acid-Reducing Agents: a Comparison with Physiologically Based Pharmacokinetic Modeling.

Andy Z X Zhu, Ming-Chih David Ho, Christopher K Gemski, Bei-Ching Chuang, Mingxiang Liao, Cindy Q Xia

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in The AAPS journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Andy Z X ZhuDepartment of Drug Metabolism and Pharmacokinetics, Drug Safety and Disposition, Takeda Pharmaceuticals International Co., 35 Lansdowne Street, Cambridge, MA, 02139, USA. Andy.Zhu@takeda.com.
Ming-Chih David HoDepartment of Drug Metabolism and Pharmacokinetics, Drug Safety and Disposition, Takeda Pharmaceuticals International Co., 35 Lansdowne Street, Cambridge, MA, 02139, USA.
Christopher K GemskiDepartment of Drug Metabolism and Pharmacokinetics, Drug Safety and Disposition, Takeda Pharmaceuticals International Co., 35 Lansdowne Street, Cambridge, MA, 02139, USA.
Bei-Ching ChuangDepartment of Drug Metabolism and Pharmacokinetics, Drug Safety and Disposition, Takeda Pharmaceuticals International Co., 35 Lansdowne Street, Cambridge, MA, 02139, USA.
Mingxiang LiaoDepartment of Drug Metabolism and Pharmacokinetics, Drug Safety and Disposition, Takeda Pharmaceuticals International Co., 35 Lansdowne Street, Cambridge, MA, 02139, USA.
Cindy Q XiaDepartment of Drug Metabolism and Pharmacokinetics, Drug Safety and Disposition, Takeda Pharmaceuticals International Co., 35 Lansdowne Street, Cambridge, MA, 02139, USA.
Takeda (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For many orally administered basic drugs with pH-dependent solubility, concurrent administration with acid-reducing agents (ARAs) can significantly impair their absorption and exposure. In this study, pH-dependent drug-drug interaction (DDI) prediction methods, including in vitro dissolution-permeation chamber (IVDP) and physiologically based pharmacokinetic (PBPK) modeling, were evaluated for their ability to quantitatively predict the clinical DDI observations using 11 drugs with known clinical pH-dependent DDI data. The data generated by IVDP, which consists of a gastrointestinal compartment and a systemic compartment separated by a biomimic membrane, significantly correlated with the clinical DDI observations. The gastrointestinal compartment AUC ratio showed strong correlation with clinical AUC ratio (R=0.72 and P=0.0056), and systemic compartment AUC ratio showed strong correlation with clinical C

Indexed as

Models, TheoreticalPharmacokineticsDrug InteractionsHydrogen-Ion ConcentrationIn Vitro TechniquesPermeabilitySolubilityacid-reducing agentsdrug absorptiondrug-drug interactionpH effectproton-pump inhibitors

Identifiers

PMID27600136
OpenAlexW2514383788

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.