Evidence map›Paper›PMID 20717839›Full record

Trial reportPharmaceutical research2010

Predicting intestinal precipitation--a case example for a basic BCS class II drug.

Sara Carlert, Anna Pålsson, Gunilla Hanisch, Christian von Corswant, Catarina Nilsson, Lennart Lindfors, Hans Lennernäs, Bertil Abrahamsson

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Pharmaceutical research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  5. Development of in vitro-in vivo correlation for establishing patient-centric quality standards of dissolution for lamotrigine extended-release tablets.European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V · 2025
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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

8 authors.

Sara CarlertDepartment of Pharmacy, Uppsala University, Box 580, 75123 Uppsala, Sweden.
Anna Pålsson
Gunilla Hanisch
Christian von Corswant
Catarina Nilsson
Lennart Lindfors
Hans Lennernäs
Bertil Abrahamsson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the prediction accuracy of in vitro and in vitro/in silico methods for in vivo intestinal precipitation of basic BCS class II drugs in humans.

methodsPrecipitation rate of a model drug substance, AZD0865 (pKa = 6.1; log K(D) = 4.2), was investigated in vitro using simulated intestinal media, and calculations of the crystallization rates were made with a theoretical model. Human intestinal precipitation was estimated by analysis of pharmacokinetic data from clinical studies at different doses.

resultsAll in vitro models predicted rapid drug precipitation, where the intestinal concentration of dissolved AZD0865 at the highest dose tested was expected to decrease to half after less than 20 min. However, there was no indication of precipitation in vivo in humans as there was a dose proportional increase in drug plasma exposure. The theoretical model predicted no significant precipitation within the range of expected in vivo intestinal concentrations.

conclusionsThis study indicated that simple in vitro methods of in vivo precipitation of orally administered bases overpredict the intestinal crystalline precipitation in vivo in humans. Hydrodynamic conditions were identified as one important factor that needs to be better addressed in future in vivo predictive methods.

Indexed as

Models, BiologicalBiological AvailabilityBody FluidsCalorimetry, Differential ScanningChemical PrecipitationCrystallizationHumansImidazolesIntestinal MucosaMaleMolecular StructurePyridinesSolubilityTissue DistributionAZD0865ImidazolesPyridines

Identifiers

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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.