Evidence map›Paper›PMID 26501244›Full record

ReviewMolecules (Basel, Switzerland)2015

Polymorph Impact on the Bioavailability and Stability of Poorly Soluble Drugs.

Roberta Censi, Piera Di Martino

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers.

0numbers the graph read from it
0cells of the map it votes in
113citing 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

113 citing papers in PubMed.

  1. Article
  2. Form (III) of artemisinin: discovery and crystallographic characterization of a new high-pressure polymorph.Acta crystallographica Section B, Structural science, crystal engineering and materials · 2026
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53 more citing papers are in PubMed but not listed here.

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

2 authors.

Roberta CensiSchool of Pharmacy, University of Camerino, via S. Agostino, 1, Camerino 62032, Italy. roberta.censi@unicam.it.
Piera Di MartinoSchool of Pharmacy, University of Camerino, via S. Agostino, 1, Camerino 62032, Italy. piera.dimartino@unicam.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drugs with low water solubility are predisposed to poor and variable oral bioavailability and, therefore, to variability in clinical response, that might be overcome through an appropriate formulation of the drug. Polymorphs (anhydrous and solvate/hydrate forms) may resolve these bioavailability problems, but they can be a challenge to ensure physicochemical stability for the entire shelf life of the drug product. Since clinical failures of polymorph drugs have not been uncommon, and some of them have been entirely unexpected, the Food and Drug Administration (FDA) and the International Conference on Harmonization (ICH) has required preliminary and exhaustive screening studies to identify and characterize all the polymorph crystal forms for each drug. In the past, the polymorphism of many drugs was detected fortuitously or through manual time consuming methods; today, drug crystal engineering, in particular, combinatorial chemistry and high-throughput screening, makes it possible to easily and exhaustively identify stable polymorphic and/or hydrate/dehydrate forms of poorly soluble drugs, in order to overcome bioavailability related problems or clinical failures. This review describes the concepts involved, provides examples of drugs characterized by poor solubility for which polymorphism has proven important, outlines the state-of-the-art technologies and discusses the pertinent regulations.

Indexed as

Biological AvailabilityChemistry, PharmaceuticalCrystallizationDrug CarriersDrug StabilityHumansParticle SizeSolubilityDrug Carrierspolymorphismpolymorphism screeningpoorly soluble drugregulatory issues

Identifiers

PMID26501244
PMCPMC6331817

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Registered trials

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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.