Predicting patent challenges for small-molecule drugs: A cross-sectional study

Generic competition does not occur with the same timeliness across all drug markets, which can leave granted patents of questionable merit in place and sustain high brand-name drug prices. Predictive models may help direct limited resources for post-grant patent validity review and adjust policy when generic competition is lacking.

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Publication Details

Journal
PLoS Medicine
Published
2025-02-12
DOI
https://doi.org/10.1371/journal.pmed.1004540
Citations
2
Primary Topic
Pharmaceutical Economics and Policy
Type
article
Field-Weighted Citation Impact
6.26

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article

Predicting patent challenges for small-molecule drugs: A cross-sectional study

Ally Memedovich, Mina Tadrous, Aaron Seth Kesselheim, Brian Steele et al.
2 citations
PLoS Medicine
Pharmaceutical Economics and Policy
6.26
article

Predicting patent challenges for small-molecule drugs: A cross-sectional study

Ally Memedovich, Mina Tadrous, Aaron Seth Kesselheim, Brian Steele, Aidan Hollis, Reed F. Beall, Shanzeh Chaudhry, Taylor Orr
article en
2 citations

Abstract

Generic competition does not occur with the same timeliness across all drug markets, which can leave granted patents of questionable merit in place and sustain high brand-name drug prices. Predictive models may help direct limited resources for post-grant patent validity review and adjust policy when generic competition is lacking.

PLoS MedicineVol. 22(2)
Brigham and Women's Hospital (US), Harvard University (US), University of Calgary (CA), University of Toronto (CA)
Commonwealth Fund, Arnold Ventures, Canada Research Chairs
Openalex Percentile: Top 5%
Pharmaceutical Economics and Policy
6.26
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