Evidence map›Paper›PMID 35386051›Full record

ArticleThe AAPS journal2022

DISSOLUTION PROFILE SIMILARITY ANALYSES-STATISTICAL PRINCIPLES, METHODS AND CONSIDERATIONS.

Thomas Hoffelder, David Leblond, Leslie Van Alstine, Dorys Argelia Diaz, Sandra Suarez-Sharp, Krista Witkowski, Stan Altan, James Reynolds, Zachary Bergeron, Kevin Lief and 2 more

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Article in The AAPS journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
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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

12 authors.

Thomas HoffelderGlobal Biostatistics and Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, Binger Straße 173, 55216, Ingelheim Am Rhein, Germany. thomas.hoffelder@boehringer-ingelheim.com.ORCID http://orcid.org/0000-0002-7128-0578
David LeblondConsultant in CMC Statistical Studies, 3091 Midlane Drive, Wadsworth, IL, 60083, United States of America.
Leslie Van AlstinePfizer Inc, Eastern Point Road, Groton, Connecticut, 06340, United States of America.
Dorys Argelia DiazPfizer Inc, Eastern Point Road, Groton, Connecticut, 06340, United States of America.
Sandra Suarez-SharpCenter for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, United States of America.
Krista WitkowskiCenter for Mathematical Sciences, Merck Manufacturing Division, Merck & Co., Inc, Kenilworth, NJ, 07033, United States of America.
Stan AltanStatistics and Decision Sciences, Manufacturing and Applied Statistics, Janssen Pharmaceutical R&D LLD, Raritan, NJ, 08869, United States of America.
James ReynoldsData and Statistical Sciences, AbbVie Inc, North Chicago, IL, 60064, United States of America.
Zachary BergeronAgios Pharmaceuticals, 88 Sidney St., Cambridge, MA, 02143, United States of America.
Kevin LiefCMC Statistics, Biostatistics, GlaxoSmithKline, David Jack Centre for R&D, Ware, SG12 0DP, Hertfordshire, UK.
Yanbing ZhengData and Statistical Sciences, AbbVie Inc, North Chicago, IL, 60064, United States of America.
Andreas AbendPharmaceutical Sciences, Merck & Co., Inc., 770 Sumneytown Pike, West Point, PA, 19486, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pharmaceutical industry and regulatory agencies rely on dissolution similarity testing to make critical product decisions as part of drug product life cycle management. Accordingly, the application of mathematical approaches to evaluate dissolution profile similarity is described in regulatory guidance with the emphasis given to the similarity factor f

Indexed as

SolubilityBaltimoreDecision treeDissolution similarity testingPairwise batch-to-batch comparisonsSimilarity regionStandardized and non-standardized distance measures

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.