Journal of clinical epidemiology · 2018
Bayesian synthesis using prior information on fracture risk from randomized trials to analyze post-market data.
Сравнительное исследованиеСтатьяНаблюдательное исследованиеПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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John-Baptiste Ava, Becker Taryn, Fung Kinwah, Lipscombe Lorraine L, Austin Peter C, Anderson Geoffrey M
Аннотация
OBJECTIVE: To conduct a Bayesian evidence synthesis using commonly available statistical procedures to estimate fracture risk for postmenopausal women undergoing hormonal therapy for breast cancer.
STUDY DESIGN AND SETTING: Using linked administrative data, we conducted a retrospective cohort study of women aged 66 years or older diagnosed with stage I to III breast cancer in Ontario, Canada, between April 1, 2003, and February 28, 2010. We used data augmentation to perform Bayesian Cox regression of the hazard of a hip, spine, or wrist/forearm fracture, adjusting for age, history of fragility fracture, corticosteroid use, osteoporosis, rheumatoid arthritis, dementia, or diabetes diagnoses.
RESULTS: Of 10,259 included in the sample, 3,733 initiated on tamoxifen and 6,526 on an aromatase inhibitor. Posterior probabilities that the hazard ratio (HR) exceeded 1 for aromatase inhibitor compared with tamoxifen were 46% (HR = 0.99, 95% credible interval [CrI] 0.71, 1.25), 35% (HR = 0.94, 95% CrI 0.78, 1.26), and 76% (HR = 1.08, 95% CrI 0.88, 1.32) with an uninformative prior, and 63% (HR = 1.04, 95% CrI 0.83, 1.3), 84% (HR = 1.12, 95% CrI 0.89, 1.4), and 89% (HR = 1.13, 95% CrI 0.93, 1.36) with an informative prior, for hip, spine, and wrist/forearm fractures, respectively.
CONCLUSIONS: Prior information resulted in higher posterior probabilities. The strength of evidence for increased risk varied by fracture site.
STUDY DESIGN AND SETTING: Using linked administrative data, we conducted a retrospective cohort study of women aged 66 years or older diagnosed with stage I to III breast cancer in Ontario, Canada, between April 1, 2003, and February 28, 2010. We used data augmentation to perform Bayesian Cox regression of the hazard of a hip, spine, or wrist/forearm fracture, adjusting for age, history of fragility fracture, corticosteroid use, osteoporosis, rheumatoid arthritis, dementia, or diabetes diagnoses.
RESULTS: Of 10,259 included in the sample, 3,733 initiated on tamoxifen and 6,526 on an aromatase inhibitor. Posterior probabilities that the hazard ratio (HR) exceeded 1 for aromatase inhibitor compared with tamoxifen were 46% (HR = 0.99, 95% credible interval [CrI] 0.71, 1.25), 35% (HR = 0.94, 95% CrI 0.78, 1.26), and 76% (HR = 1.08, 95% CrI 0.88, 1.32) with an uninformative prior, and 63% (HR = 1.04, 95% CrI 0.83, 1.3), 84% (HR = 1.12, 95% CrI 0.89, 1.4), and 89% (HR = 1.13, 95% CrI 0.93, 1.36) with an informative prior, for hip, spine, and wrist/forearm fractures, respectively.
CONCLUSIONS: Prior information resulted in higher posterior probabilities. The strength of evidence for increased risk varied by fracture site.