Evidence map›Paper›PMID 40140189›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025

Unveiling Gaps and Demographic Influences in Alzheimer's Therapy: A Data-Centric Study of FDA-Approved Late-Phase Clinical Trials.

Vaishnavi Milind Kalokhe, Simran Simran, Aftab Ahmad, Fathima Musthafa, Vishal Sachin Gangawane, Rajeev Singh Raghuvanshi, Saurabh Srivastava

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. 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

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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

7 authors.

Vaishnavi Milind Kalokhe *Department of Regulatory Affairs, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India.
Simran Simran *Department of Regulatory Affairs, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India.
Aftab AhmadDepartment of Regulatory Affairs, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India.
Fathima MusthafaDepartment of Regulatory Affairs, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India.
Vishal Sachin GangawaneDepartment of Regulatory Affairs, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India.
Rajeev Singh RaghuvanshiCentral Drugs Standard Control Organization (CDSCO), Ministry of Health & Family Welfare, Government of India, Directorate General of Health Services, New Delhi, India.
Saurabh SrivastavaDepartment of Regulatory Affairs, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, India. saurabh@niperhyd.ac.in.ORCID http://orcid.org/0000-0003-0723-4363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease is more prevalent in women than in men. In this study, the author examined the U.S. Food and Drug Administration (FDA) completed phase 4 clinical trials associated with Alzheimer's. The research aims to evaluate the women's participation-to-prevalence ratio (PPR) for Alzheimer's disease.

methodUsing the FDA's publicly available clinical trial database, 45 Phase 4 Alzheimer's trials from 2003 to 2019 were assessed. Further, the total PPR and yearly PPR value are calculated by dividing the percentage of women in clinical trials by the total percentage of women affected by Alzheimer's disease. The PPR value equal to 1 showcases the balanced participation of females in the Phase 4 clinical trial and the diseased affected population.

resultOut of 45 trials, 41 were completed and four were terminated. The gender data was unavailable for three trials. In 38 clinical trials associated with Alzheimer's disease, 4502 participants were enrolled. Among 4502, 2604 (57.84%) were found to be female and 1898 (42.15%) were male. The PPR for women was 0.80, reflecting an adequate representation of women participants in late-phase clinical trials. The yearly PPR reduction has been seen in female participants.

conclusionIn the year-based PPR, the range was from 0.72-1.0. In the initial year, the range was 1, which was reduced to 0.72 in 2007. In total, 38 completed clinical trials, 18 trials used placebo treatment, and the gender ratio in placebo was adequate. More transparency is essential in gender concerning SAE in publicly available databases.

Indexed as

Alzheimer DiseaseClinical Trials, Phase IV as TopicAgedFemaleHumansMaleSex FactorsUnited StatesUnited States Food and Drug AdministrationAlzheimer’s diseaseClinical trialsOver-representationParticipation to prevalence ratio valuePhase 4Under-representation

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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.