Evidence map›Paper›PMID 42436311›Full record

ArticleTherapeutic innovation & regulatory science2026

Association Between FDA Drug Recall Classification and Product-Related Characteristics.

Lantider K Bekele, M Affan Badar, Christopher J Kluse

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Article in Therapeutic innovation & regulatory science, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Lantider K BekelePhD Program in Technology Management (Quality Systems Specialization), Bailey College of Engineering and Technology, Indiana State University, Terre Haute, IN, 47809, USA. lbekele@sycamores.indstate.edu.ORCID https://orcid.org/0009-0000-6967-9574
M Affan BadarPhD Program in Technology Management (Quality Systems Specialization), Bailey College of Engineering and Technology, Indiana State University, Terre Haute, IN, 47809, USA.ORCID https://orcid.org/0000-0001-9060-4366
Christopher J KluseQuality Systems, College of Technology, Architecture & Applied Engineering, Bowling Green State University, Bowling Green, OH, 43403, USA.ORCID https://orcid.org/0000-0003-4307-933X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study examined associations between FDA drug recall classification (Class I-III) and selected product-related characteristics using publicly available recall data.

methodsA secondary analysis of 13,248 FDA drug recalls issued from 2015 to 2024 was conducted. Data on recall classification, recall cause, dosage form, therapeutic category, and geographic origin were extracted from publicly available FDA databases. Descriptive statistics were used to summarize recall distributions. Pearson's chi-square tests assessed associations between recall classification and categorical variables, and Cramér's V was used to quantify the magnitude of association.

resultsSignificant associations were identified between recall classification and recall cause (χ

conclusionRecall classification was significantly associated with multiple product-related characteristics, particularly recall cause. While these findings reflect statistical associations rather than causal relationships, they identify recurring patterns within FDA recall data that may inform risk-based regulatory surveillance and pharmaceutical quality management activities. Because exposure-adjusted denominator data were unavailable, the findings should be interpreted as patterns within recalled products rather than measures of comparative product risk.

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Chi-squareDrug recallsPharmaceutical qualityRecall causesRecall severity

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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.