Evidence map›Paper›PMID 32980935›Full record

ArticleThe AAPS journal2020

Biliary Excretion-Mediated Food Effects and Prediction.

Jingcheng Xiao, Doanh Tran, Xinyuan Zhang, Tao Zhang, Shirley Seo, Haojie Zhu, Peng Zou

Abstract read
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In one paragraph

Article in The AAPS journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Diallyl disulfide in oncotherapy: molecular mechanisms and therapeutic potentials.Apoptosis : an international journal on programmed cell death · 2025
    Review
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  4. Review
  5. Article
  6. Article
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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

7 authors.

Jingcheng XiaoFood and Drug Administration (FDA), Office of Clinical Pharmacology, 10903 New Hampshire Ave, Silver Spring, Maryland, 20993, USA.
Doanh TranFood and Drug Administration (FDA), Office of Clinical Pharmacology, 10903 New Hampshire Ave, Silver Spring, Maryland, 20993, USA.
Xinyuan ZhangFood and Drug Administration (FDA), Office of Clinical Pharmacology, 10903 New Hampshire Ave, Silver Spring, Maryland, 20993, USA.
Tao ZhangSchool of Pharmacy, Husson University, 1 College Circle, Bangor, Maine, 04401, USA.
Shirley SeoFood and Drug Administration (FDA), Office of Clinical Pharmacology, 10903 New Hampshire Ave, Silver Spring, Maryland, 20993, USA.
Haojie ZhuCollege of Pharmacy, University of Michigan, 428 Church St, Ann Arbor, Michigan, 48109, USA.
Peng ZouFood and Drug Administration (FDA), Office of Clinical Pharmacology, 10903 New Hampshire Ave, Silver Spring, Maryland, 20993, USA. peng.zou@fda.hhs.gov.ORCID 0000-0002-0416-2731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many orally administered drugs with negative food effects (i.e., lower exposure under fed conditions) are often primarily or partially eliminated by biliary excretion. The aim of this study is to assess the potential correlation between a negative food effect and biliary excretion. Correlation analysis was conducted using a training dataset containing 27 drugs which met the following criteria: (1) immediate-release formulations, (2) shows a negative food effect, (3) > 10% biliary clearance, and (4) does not undergo extensive metabolism. A correlation between fed-state biliary clearance (CL

Indexed as

Food-Drug InteractionsModels, BiologicalAdministration, OralArea Under CurveBileBiopharmaceuticsDatasets as TopicFastingGastrointestinal AbsorptionHepatobiliary EliminationHumansPermeabilityPostprandial PeriodSolubilityBiliary excretionFood effectsPBPK prediction

Identifiers

What OpenQuestion holds

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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.