Literature DB >> 21364127

Gender bias in studies for Food and Drug Administration premarket approval of cardiovascular devices.

Sanket S Dhruva1, Lisa A Bero, Rita F Redberg.   

Abstract

BACKGROUND: Cardiovascular devices can have different safety and effectiveness profiles in men and women. The type and quality of sex-specific data reviewed by the Food and Drug Administration (FDA) before approval of these devices are unknown. METHODS AND
RESULTS: We performed a systematic review of the demographics, comments on gender bias, and analysis of results by sex for 78 high-risk cardiovascular devices that received premarket approval by the FDA between 2000 and 2007. FDA summaries of evidence did not report sex of enrollees in 34 (28%) of 123 studies. For studies reporting sex distribution, the study populations were, on average, 67% men. There was no increase in the enrollment of women over time. Explanations for the relatively low percentage of women often stated that the trials reflected either underlying disease distribution or referral rates for similar procedures or that the sex distribution reflected similar or previous trials. Forty-one percent of studies included a gender bias comment or analysis, and 12 (26%) of 47 of these analyses identified some difference in device safety or effectiveness by sex.
CONCLUSIONS: There is a lack of sex-specific safety and effectiveness data for high-risk cardiovascular devices before FDA approval. The justifications for this lack of evidence may perpetuate the status quo. More rigorous FDA requirements for sex-specific data before device approval could present an opportunity to improve cardiovascular outcomes.

Entities:  

Mesh:

Year:  2011        PMID: 21364127     DOI: 10.1161/CIRCOUTCOMES.110.958215

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  27 in total

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3.  Sex/gender differences in cardiovascular disease prevention: what a difference a decade makes.

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Journal:  Circulation       Date:  2011-11-08       Impact factor: 29.690

Review 4.  Gender-specific differences in the central nervous system's response to anesthesia.

Authors:  Lana J Mawhinney; Davita Mabourakh; Michael C Lewis
Journal:  Transl Stroke Res       Date:  2012-11-29       Impact factor: 6.829

Review 5.  Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare.

Authors:  Davide Cirillo; Silvina Catuara-Solarz; Czuee Morey; Emre Guney; Laia Subirats; Simona Mellino; Annalisa Gigante; Alfonso Valencia; María José Rementeria; Antonella Santuccione Chadha; Nikolaos Mavridis
Journal:  NPJ Digit Med       Date:  2020-06-01

6.  Inclusion of Demographic-Specific Information in Studies Supporting US Food & Drug Administration Approval of High-Risk Medical Devices.

Authors:  Sanket S Dhruva; Carolyn M Mazure; Joseph S Ross; Rita F Redberg
Journal:  JAMA Intern Med       Date:  2017-09-01       Impact factor: 21.873

7.  Real-World Evidence: Promise and Peril For Medical Product Evaluation.

Authors:  Sanket S Dhruva; Joseph S Ross; Nihar R Desai
Journal:  P T       Date:  2018-08

8.  FDA regulation of cardiovascular devices and opportunities for improvement.

Authors:  Sanket S Dhruva; Rita F Redberg
Journal:  J Interv Card Electrophysiol       Date:  2012-12-21       Impact factor: 1.900

9.  Analysis and reporting of sex differences in phase III medical device clinical trials-how are we doing?

Authors:  Martha R Nolan; Thuy-Linh Nguyen
Journal:  J Womens Health (Larchmt)       Date:  2013-04-21       Impact factor: 2.681

10.  Advancing Women's Health and Women's Leadership With Endowed Chairs in Women's Health.

Authors:  Molly Carnes; Paula Johnson; Wendy Klein; Marjorie Jenkins; C Noel Bairey Merz
Journal:  Acad Med       Date:  2017-02       Impact factor: 6.893

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