Evidence map›Paper›PMID 31608434›Full record

ArticleClinical pharmacology and therapeutics2020

Evaluating the Role of Solubility in Oral Absorption of Poorly Water-Soluble Drugs Using Physiologically-Based Pharmacokinetic Modeling.

Christina Fink, Dajun Sun, Knut Wagner, Melanie Schneider, Holger Bauer, Hugues Dolgos, Karsten Mäder, Sheila-Annie Peters

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Co-amorphization for solubility and dissolution rate improvement: the case of low-crystallization-tendency drugs.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Frontiers in medicine · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Current drug discovery technologies · 2025
    Article
  17. Article
  18. Article
  19. IR-EcoSpectra: Exploring sustainableJournal of pharmaceutical analysis · 2024
    Review
  20. RationalJournal of medicinal chemistry · 2024
    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

8 authors.

Christina FinkChemical Pharmaceutical Development, Merck Healthcare KGaA, Darmstadt, Germany.
Dajun SunSite Management - Analytics Healthcare, Merck KGaA, Darmstadt, Germany.
Knut WagnerChemical Pharmaceutical Development, Merck Healthcare KGaA, Darmstadt, Germany.
Melanie SchneiderChemical Pharmaceutical Development, Merck Healthcare KGaA, Darmstadt, Germany.
Holger BauerGlobal Manufacturing and Supply, Merck Healthcare KGaA, Darmstadt, Germany.
Hugues DolgosR&D, Merck KGaA, Darmstadt, Germany.
Karsten MäderFaculty of Biosciences, Institute of Pharmacy, Martin-Luther University Halle-Wittenberg, Halle/Saale, Germany.
Sheila-Annie PetersQuantitative Pharmacology, Merck Healthcare KGaA, Darmstadt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor aqueous solubility and dissolution of drug candidates drive key decisions on lead series optimization during drug discovery, on formulation optimization, and clinical studies planning during drug development. The interpretation of the in vivo relevance of early pharmaceutical profiling is often confounded by the multiple factors affecting oral systemic exposure. There is growing evidence that in vitro drug solubility may underestimate the true in vivo solubility and lead to drug misclassification. Based on 10 poorly water-soluble tyrosine kinase inhibitors, this paper demonstrates the use of physiologically-based pharmacokinetic (PK) analysis in combination with early clinical PK data to identify drugs whose absorption is truly limited by solubility in vivo and, therefore, expected to exhibit food effect. Our study supports a totality of evidence approach using early clinical data to guide decisions on conducting drug interaction studies with food and acid-reducing agents.

Indexed as

Food-Drug InteractionsModels, BiologicalAdministration, OralChemistry, PharmaceuticalDrug DevelopmentHumansProtein Kinase InhibitorsSolubilityWaterProtein Kinase InhibitorsWater

Identifiers

PMID31608434
PMCPMC7158207

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.