Evidence map›Paper›PMID 42362986›Full record

ArticlePharmaceutical research2026

Initial Exploration on the Application of the MoCMC Approach for Determining In Vitro Product Comparability.

Marilyn N Martinez, David G Longstaff

Abstract read
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Article in Pharmaceutical research, 2026. 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

2 authors.

Marilyn N MartinezOffice of Generic Animal Drugs, Center for Veterinary Medicine, US Food and Drug Administration, Department of Health and Human Services, College Park, Maryland, USA. marilyn.martinez@fda.hhs.gov.
David G LongstaffOffice of Generic Animal Drugs, Center for Veterinary Medicine, US Food and Drug Administration, Department of Health and Human Services, College Park, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo provide an initial assessment of the Matrix of Chemistry, Manufacturing and Control (MoCMC) approach for evaluating product physicochemical (Q3) similarity as part of the bioequivalence assessment of products containing non-systemically absorbed drugs. METHODOLOGY: Each Q3 parameter was expressed as the radius of a polygon using a mathematical formula that converted each specified reference Q3 parameter mean to a value of "5". That formula was applied to the corresponding individual test and reference product Q3 parameters, and the areas of the resulting treatment polygons were determined. The ratio of product area/outer area [Matrix Comparability Index (MCI)] was calculated where each side of the outer polygon had a radius of "10". When generated across multiple lots per treatment, the MCI values were statistically compared. Both actual (from our previously published investigation) and hypothetical MCI values were used to characterize the performance of the MoCMC across a range of situations.

resultsThe influence of any individual Q3 parameter decreased as the number of radii increased. The ability to identify statistically significant product differences decreased as variability of either test or reference MCI values increased. Nevertheless, by combining statistical analysis with a comparison of the spread of test and reference MCI values, the MoCMC identified product differences previously not detected by in vitro dissolution profiles alone.

conclusionsThe MoCMC can serve as a tool for comparing products containing non-systemically absorbed drugs. However, statistical refinements are needed when applying this approach to an evaluation of product bioequivalence. The latter is under development.

Indexed as

Chemistry, PharmaceuticalPharmaceutical PreparationsTherapeutic EquivalencyPharmaceutical Preparationsin vitro bioequivalencelocally acting drug productMoCMCveterinary medicine

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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.