Evidence map›Paper›PMID 40140160›Full record

ArticleThe AAPS journal2025

Establishing a Platform Method for Physical Appearance Assessment of New Parenteral Pharmaceuticals.

Ying Wan, Walter Wasylaschuk, Joseph Straub, Wei Xu, Nicole Lepo, Patricia M Egan, Jillian Acevedo-Skrip, Elizabeth Thoryk, Megan Mackey

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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.

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

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

9 authors.

Ying WanAnalytical Research and Development, Merck & Co., Inc., West Point, Pennsylvania, USA. ying.wan@merck.com.ORCID 0000-0001-7910-0925
Walter WasylaschukAnalytical Research and Development, Merck & Co., Inc., West Point, Pennsylvania, USA.
Joseph StraubGlobal Science & Technology Services, Merck & Co., Inc., West Point, Pennsylvania, USA.
Wei XuAnalytical Research and Development, Merck & Co., Inc., West Point, Pennsylvania, USA.
Nicole LepoRegulatory CMC, Global Regulatory Affairs & Clinical Safety, Merck & Co., Inc., West Point, Pennsylvania, USA.
Patricia M EganAnalytical Research and Development, Merck & Co., Inc., West Point, Pennsylvania, USA.
Jillian Acevedo-SkripAnalytical Research and Development, Merck & Co., Inc., West Point, Pennsylvania, USA.
Elizabeth ThorykAnalytical Research and Development, Merck & Co., Inc., West Point, Pennsylvania, USA.
Megan MackeyAnalytical Research and Development, Merck & Co., Inc., West Point, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical appearance (PA) is an attribute indicating the quality of parenteral pharmaceuticals. It is routinely evaluated during release and stability testing and included in regulatory filings. PA assessment of liquids involves three tests: visible particulates, clarity, and color. For each test, compendial general method chapters are available requiring minimal modification. This allows for a platform PA method approach, streamlining method readiness for new test articles. However, selecting the appropriate method is challenging, as no method suits all test articles, and pharmacopeias do not specify suitable condition(s) for each method. Improper method selection can lead to inappropriate specification setting and unreliable results. The need for guidance is especially urgent for vaccines, which often exhibit a wide range of PA attributes due to complex delivery systems and adjuvants that boost immunogenicity. This manuscript addresses this challenge by explaining method suitability and presenting a decision table for PA method selection based on the appearance properties of pharmaceuticals. A case study involving a yellow-turbid vaccine adjuvant is presented to demonstrate the practical application of the decision table. When color and turbidity make visual comparison to reference liquids difficult, instrumental clarity and visual qualitative methods are suitable options. The manuscript provides valuable insights on PA method selection and setting specifications for new parenteral pharmaceuticals. Furthermore, the decision table enables platform methods for test articles sharing similar appearance properties, eliminating the need for individual methods, reducing document preparation time for method and verification protocol, and enhancing the consistency and efficiency of GMP testing for PA.

Indexed as

Pharmaceutical PreparationsDrug StabilityQuality ControlVaccinesPharmaceutical PreparationsVaccinesanalytical control strategyclaritycolorvaccinevisible particulates

Identifiers

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.