Evidence map›Paper›PMID 27642087›Full record

ArticleCPT: pharmacometrics & systems pharmacology2016

Quantitative Prediction of Drug-Drug Interactions Involving Inhibitory Metabolites in Drug Development: How Can Physiologically Based Pharmacokinetic Modeling Help?

I E Templeton, Y Chen, J Mao, J Lin, H Yu, S Peters, M Shebley, M V Varma

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

I E TempletonGenentech, South San Francisco, California, USA. templeton.ian@gene.com.
Y ChenGenentech, South San Francisco, California, USA.
J MaoGenentech, South San Francisco, California, USA.
J LinPfizer Inc., Groton, Connecticut, USA.
H YuBoehringer Ingelheim Pharmaceuticals, Ridgefield, Connecticut, USA.
S PetersAstraZeneca, Mölndal, Sweden.
M ShebleyAbbVie Inc., North Chicago, Illinois, USA.
M V VarmaPfizer Inc., Groton, Connecticut, USA. manthena.v.varma@pfizer.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This subteam under the Drug Metabolism Leadership Group (Innovation and Quality Consortium) investigated the quantitative role of circulating inhibitory metabolites in drug-drug interactions using physiologically based pharmacokinetic (PBPK) modeling. Three drugs with major circulating inhibitory metabolites (amiodarone, gemfibrozil, and sertraline) were systematically evaluated in addition to the literature review of recent examples. The application of PBPK modeling in drug interactions by inhibitory parent-metabolite pairs is described and guidance on strategic application is provided.

Indexed as

AmiodaroneAnimalsArea Under CurveDrug DiscoveryDrug InteractionsGemfibrozilHumansModels, BiologicalSertralineAmiodaroneGemfibrozilSertraline

Identifiers

PMID27642087
PMCPMC5080647

What OpenQuestion holds

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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.