Evidence map›Paper›PMID 27520379›Full record

ArticleThe AAPS journal2016

Using Physiologically Based Pharmacokinetic (PBPK) Modeling to Evaluate the Impact of Pharmaceutical Excipients on Oral Drug Absorption: Sensitivity Analyses.

Edwin Chiu Yuen Chow, Arjang Talattof, Eleftheria Tsakalozou, Jianghong Fan, Liang Zhao, Xinyuan Zhang

Abstract read
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 38 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.

Edwin Chiu Yuen ChowDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA.
Arjang TalattofDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA.
Eleftheria TsakalozouDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA.
Jianghong FanDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA.
Liang ZhaoDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA.
Xinyuan ZhangDivision of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, US Food and Drug Administration, Silver Spring, Maryland, USA. Xinyuan.Zhang@fda.hhs.gov.
United States Food and Drug Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug solubility, effective permeability, and intestinal metabolism and transport are parameters that govern intestinal bioavailability and oral absorption. However, excipients may affect the systemic bioavailability of a drug by altering these parameters. Thus, parameter sensitivity analyses using physiologically based pharmacokinetic (PBPK) models were performed to examine the potential impact of excipients on oral drug absorption of different Biopharmaceutics Classification System (BCS) class drugs. The simulation results showed that changes in solubility had minimal impact on C

Indexed as

Models, TheoreticalAdministration, OralArea Under CurveExcipientsPermeabilitySolubilityExcipientsBiopharmaceutics Classification System (BCS)excipientsgastrointestinal transportersoral drug absorptionPBPK modeling

Identifiers

PMID27520379
OpenAlexW2507988291

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.