Evidence map›Paper›PMID 26126932›Full record

Trial reportThe AAPS journal2015

Assessment of In Vivo Clinical Product Performance of a Weak Basic Drug by Integration of In Vitro Dissolution Tests and Physiologically Based Absorption Modeling.

Xuan Ding, Ivelina Gueorguieva, James A Wesley, Lee J Burns, Carrie A Coutant

Abstract readClinical Trial
In one paragraph

Trial report in The AAPS journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
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

5 authors.

Xuan DingLilly Research Laboratory, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, Indiana, 46285, USA.
Ivelina GueorguievaLilly Research Laboratory, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, Indiana, 46285, USA.
James A WesleyLilly Research Laboratory, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, Indiana, 46285, USA.
Lee J BurnsLilly Research Laboratory, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, Indiana, 46285, USA.
Carrie A CoutantLilly Research Laboratory, Lilly Corporate Center, Eli Lilly and Company, Indianapolis, Indiana, 46285, USA. cacoutant@lilly.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective integration of in vitro tests and absorption modeling can greatly improve our capability in understanding, comparing, and predicting in vivo performances of clinical drug products. In this case, we used a proprietary drug candidate galunisertib to describe the procedures of designing key in vitro tests, analyzing relevant experimental and trial data, and integrating them into physiologically based absorption models to evaluate the performances of its clinical products. By simulating the preclinical study result, we estimated high in vivo permeability for the drug. Given the high sensitivity of its solubility to pH, supersaturation may play an important role in the absorption of galunisertib. Using the dynamic dissolution test, i.e., artificial stomach-duodenum (ASD) model and simulation, we concluded galunisertib in solution or tablet products could maintain supersaturation during the transit in the gastrointestinal tract (GIT). A physiologically based absorption model was established by incorporating these key inputs in the simulation of Trial 1 results of galunisertib solution. To predict the performance of three tablet products, we developed z-factor dissolution models from the multi-pH USP dissolution results and integrate them into the absorption model. The resultant biopharmaceutical models provided good prediction of the extent of absorption of all three products, but underestimated the rate of absorption of one tablet product. Leveraging the ASD result and optimization with the dissolution model, we identified the limitation of the model due to complexity of estimating the dissolution parameter z and its in vitro-in vivo correlation.

Indexed as

Models, BiologicalAdministration, OralAdultAnimalsFemaleHumansIntestinal AbsorptionMaleMiddle AgedPermeabilityPyrazolesQuinolinesRatsRats, Inbred F344SolubilityLY-2157299PyrazolesQuinolinesabsorptiondissolutionphysiologically based modelz-factor

Identifiers

PMID26126932
PMCPMC4627443

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.