Premium
How gender and sex influence clinical trial recruitment in Alzheimer's disease: Findings from Fundació ACE Barcelona Alzheimer Treatment and Research Center
Author(s) -
Abdelnour Carla,
Valero Sergi,
RosendeRoca Maitee,
Lafuente Asuncion,
Hernandez Isabel,
Tartari Juan Pablo,
Santuccione Antonella,
Ferretti Maria Teresa,
Maguire Peggy,
Buendía Mar,
Pancho Ana,
Tarraga Lluis,
Benaque Alba,
Gurrutxaga Miren,
Ruiz Agustín,
Boada Mercè
Publication year - 2020
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1002/alz.041772
Subject(s) - dementia , clinical trial , medicine , disease , inclusion (mineral) , logistic regression , gerontology , male gender , psychology , social psychology
Background FDA has made great efforts to promote inclusion of women in clinical trials. The aim is to protect specific biological gender and sex issues and encourage drug developers to consider specific clinical outcomes and drug‐safety profiles in terms of gender and sex. Alzheimer’s disease (AD) affects predominantly women, who double men in the number of patients diagnosed with dementia. Therefore, we explored gender and sex bias in the inclusion criteria for clinical trials in AD. Here our aim was to compare main inclusion criteria for clinical trials in MCI and dementia patients in terms of sex. Method Patients evaluated at FACE from 1996 to 2019 with CDR 0,5 to 2 were analysed. Then, we used the main inclusion criteria for AD clinical trials to compare the sample in terms of sex and syndromic diagnosis. The chosen variables were age, sex, education, comorbidities, treatment and MMSE score. Logistic regression analysis accounting for age, years of education, MMSE, treatment and comorbidities was used. Result From a total sample of 20,203 MCI and dementia patients, we selected potential candidates for clinical trials with complete information regarding age, age, years of education, MMSE, comorbidities and treatment. After adjusting for age, years of education, MMSE, comorbidities and treatment, in the dementia sample only age and years of education showed statistically significant differences. Whereas in the MCI sample: age, years of education, treatment and comorbidities showed statistically significant differences (Tables 1 and 2) Conclusion Women with MCI and dementia are less likely to participate in a clinical trial due to older age and less years of education than men. Another factor that prevent women for participating in clinical trials is their comorbidities when compared to men, whereas men are excluded due to treatment criteria more often than women. These results show that there is a pre‐selection bias against women in AD clinical trials because of demographic characteristics. Therefore, participation of women in clinical trials does not reflect the prevalence of AD among women and is not representative of reality. Efforts should be made to provide equal opportunities to potential clinical trials candidates regardless of gender.