Evidence map›Paper›PMID 40579614›Full record

ArticleThe AAPS journal2025

Dissolution of Oral Solid Dosage Formulations: Surrogate Models and Real-time Release.

Melanie Dumarey, Tessa M Carducci, Matthew J Walworth, Casey J Smith, Salvador García-Muñoz, Sarah Nielsen, Sylvaine Jacquart, Ana Tavares da Silva, Stan Altan, Martin Otava and 2 more

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Article in The AAPS journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Melanie DumareyGlobal Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Gothenburg, Sweden. melanie.dumarey@astrazeneca.com.ORCID 0009-0001-3742-9009
Tessa M CarducciAnalytical Commercialization Technology, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ, 07065, United States of America.
Matthew J WalworthSynthetic Molecule Design and Development, Eli Lilly and Company, Indianapolis, IN, 46285, United States of America.
Casey J SmithSynthetic Molecule Design and Development, Eli Lilly and Company, Indianapolis, IN, 46285, United States of America.
Salvador García-MuñozSynthetic Molecule Design and Development, Eli Lilly and Company, Indianapolis, IN, 46285, United States of America.
Sarah NielsenJanssen Supply Chain, Johnson & Johnson, New Brunswick, NJ, United States of America.
Sylvaine JacquartJanssen Pharmaceutica NV, Beerse, Belgium.
Ana Tavares da SilvaJanssen Pharmaceutica NV, Beerse, Belgium.
Stan AltanManufacturing and Applied Statistics, Janssen Pharmaceutical R&D LLD, Raritan, NJ, 08869, United States of America.
Martin OtavaManufacturing and Applied Statistics, Janssen-Cilag S.R.O., Prague, Czechia.
Yanmei LanAnalytical Development, Pharmaceutical Sciences, Takeda, Cambridge, MA, 02139, United States of America.
Nikolay ZaborenkoSynthetic Molecule Design and Development, Eli Lilly and Company, Indianapolis, IN, 46285, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro dissolution testing is commonly performed to ensure that oral solid dosage medicines are of high quality and will achieve their targeted in vivo performance. However, this testing is time and material consuming. Therefore, pharmaceutical companies have been developing predictive dissolution models (PDMs) for drug product release based on fast at- and/or on-line measurements, including real-time release testing of dissolution (RTRT-D). Recently, PDMs have seen acceptance by major regulatory bodies as release tests for the dissolution critical quality attribute. In this paper, several methodologies are described to develop and validate a fit-for-purpose model, then to implement it as a surrogate release test for dissolution. These approaches are further exemplified by real-life case studies, which demonstrate that PDMs for release are not only viable but more sustainable than in vitro dissolution testing and can significantly accelerate drug product release. The rise of continuous manufacturing within the pharmaceutical industry further favors the implementation of real-time release testing. Therefore, a steep uptake of PDMs for release is expected once this methodology is globally accepted. To that end, it is advantageous for global regulators and pharmaceutical innovators to coalesce around a harmonized set of expectations for development, validation, implementation, and lifecycle of PDMs as part of drug product release testing.

Indexed as

Drug LiberationAdministration, OralChemistry, PharmaceuticalDrug ApprovalDrug CompoundingHumansPharmaceutical PreparationsSolubilityPharmaceutical Preparationsdissolutionpredictive dissolution modellingreal-time release testing

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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.