Evidence map›Paper›PMID 26031410›Full record

ArticleClinical pharmacology and therapeutics2015

Physiologically based and population PK modeling in optimizing drug development: A predict-learn-confirm analysis.

A Suri, S Chapel, C Lu, K Venkatakrishnan

Open access · hybridAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2015. 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
2.0field-weighted citation impact, top 14% 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, 29 citations in OpenAlex.

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    Review
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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

4 authors at 2 institutions in 2 countries.

A SuriClinical Pharmacology, Millennium Pharmaceuticals, Inc., Cambridge, Massachusetts, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited.
S ChapelAnn Arbor Pharmacometrics Group, Ann Arbor, Michigan, USA.
C LuDrug Metabolism and Pharmacokinetics, Millennium Pharmaceuticals, Inc., Cambridge, Massachusetts, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited.
K VenkatakrishnanClinical Pharmacology, Millennium Pharmaceuticals, Inc., Cambridge, Massachusetts, USA, a wholly owned subsidiary of Takeda Pharmaceutical Company Limited.
Takeda (Japan) · JPMillennium Engineering and Integration (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physiologically based pharmacokinetic (PBPK) modeling and classical population pharmacokinetic (PK) model-based simulations are increasingly used to answer various drug development questions. In this study, we propose a methodology to optimize the development of drugs, primarily cleared by the kidney, using model-based approaches to determine the need for a dedicated renal impairment (RI) study. First, the impact of RI on drug exposure is simulated via PBPK modeling and then confirmed using classical population PK modeling of phase 2/3 data. This methodology was successfully evaluated and applied to an investigational agent, orteronel (nonsteroidal, reversible, selective 17,20-lyase inhibitor). A phase 1 RI study confirmed the accuracy of model-based predictions. Hence, for drugs eliminated primarily via renal clearance, this modeling approach can enable inclusion of patients with RI in phase 3 trials at appropriate doses, which may be an alternative to a dedicated RI study, or suggest that only a reduced-size study in severe RI may be sufficient.

Indexed as

Computer SimulationModels, BiologicalClinical Trials, Phase I as TopicClinical Trials, Phase III as TopicCytochrome P-450 Enzyme InhibitorsDrug DiscoveryDrug Dosage CalculationsHumansImidazolesKidneyKidney DiseasesNaphthalenesNonlinear DynamicsRenal EliminationReproducibility of ResultsSteroid 17-alpha-HydroxylaseCytochrome P-450 Enzyme InhibitorsImidazolesNaphthalenesorteronelSteroid 17-alpha-Hydroxylase

Identifiers

PMID26031410
PMCPMC5039936
OpenAlexW2120591557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.