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Cited by 607

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Why do trials for Alzheimer’s disease drugs keep failing? A discontinued drug perspective for 2010-2015

Open access
Mehta, Dev, Jackson, Robert, Paul, Gaurav, Shi, Jiong, Sabbagh, Marwan·2017·Expert Opinion on Investigational Drugs

Abstract

INTRODUCTION: There are dozens of drugs in development for AD with billions of dollars invested. Despite the massive investment in AD drugs and a burgeoning pipeline, there have been more setbacks and failures than treatment successes. Areas covered: The classes of drugs that have failed to date include the monoclonal antibodies, the gamma secretase inhibitors, dimebon, neurochemical enhancers, and one tau drug. Data for these compounds were sought through a PubMed search and a clinicaltrials.gov search. Expert opinion: The obvious question to be posed is: Why are they failing? Is the treatment of symptomatic dementia too late? Are the therapeutic targets incorrect? Are the clinical methodologies imprecise, misleading, or inaccurate? This review summarizes the drugs that have failed during 2010-2015 and offers possible theories as to why they have failed.

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Metadata

Authors
Mehta, D., Jackson, R., Paul, G., Shi, J., & Sabbagh, M.
Venue
Expert Opinion on Investigational Drugs
Published
2017-05-02
Volume
26
Issue
6
Pages
735-739
ISSN
  • 1354-3784 (ISSN-L)
  • 1744-7658
OpenAlex
W2610795807
Cited by
607
References
25
FWCI
37.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Why do trials for Alzheimer’s disease drugs keep failing? A discontinued drug perspective for 2010-2015. https://app.cochat.ai/papers/10.1080/13543784.2017.1323868
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Mehta, D., Jackson, R., Paul, G., Shi, J., & Sabbagh, M. (2017). Why do trials for Alzheimer’s disease drugs keep failing? A discontinued drug perspective for 2010-2015. Expert Opinion on Investigational Drugs. https://doi.org/10.1080/13543784.2017.1323868

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.