{"id":4626,"date":"2018-06-04T00:00:00","date_gmt":"2018-06-04T04:00:00","guid":{"rendered":"https:\/\/icesontario.wpengine.com\/journal-articles\/bayesian-synthesis-using-prior-information-on-fracture-risk-from-randomized-trials-to-analyze-post-market-data\/"},"modified":"2023-06-14T20:06:50","modified_gmt":"2023-06-15T00:06:50","slug":"bayesian-synthesis-using-prior-information-on-fracture-risk-from-randomized-trials-to-analyze-post-market-data","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/bayesian-synthesis-using-prior-information-on-fracture-risk-from-randomized-trials-to-analyze-post-market-data\/","title":{"rendered":"Bayesian synthesis using prior information on fracture risk from randomized trials to analyze post-market data"},"content":{"rendered":"<p><strong>Objective<\/strong> &#x2014; To conduct a Bayesian evidence synthesis using commonly available statistical procedures in order to estimate fracture risk for postmenopausal women undergoing hormonal therapy for breast cancer.<\/p>\n<p><span class=\"bold\">Study Design and Setting<\/span> &#x2014; Using linked administrative data, we conducted a retrospective cohort study of women age 66 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.<\/p>\n<p><strong>Results<\/strong> &#x2014; Of 10,259 included in the sample, 3,733 initiated on Tamoxifen and 6,526 on an aromatase inhibitor (AI). Posterior probabilities that the HR exceeded 1 for AI compared to Tamoxifen were 46% (HR=0.99, 95%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 fracture, respectively.<\/p>\n<p><strong>Conclusions<\/strong> &#x2014; Prior information resulted in higher posterior probabilities. The strength of evidence for increased risk varied by fracture site.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Objective &#x2014; To conduct a Bayesian evidence synthesis using commonly available statistical procedures in order to estimate fracture risk for postmenopausal women undergoing hormonal therapy for breast cancer. Study Design and Setting &#x2014; Using linked administrative data, we conducted a retrospective cohort study of women age 66 or older diagnosed with stage I to III [&hellip;]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[],"migration-helper-qa-sample-set":[],"class_list":["post-4626","journal_article","type-journal_article","status-publish","hentry"],"acf":{"citation":"John-Baptiste A, Becker T, Fung K, Lipscombe LL, Austin PC, Anderson GM. <em>J Clin Epidemiol<\/em>. 2018; 101:79-86. Epub 2018 Jun 4.","source_url":"","ices_scientist":[1295,1385,1382,1275],"site":[6735],"research_program":[6741],"news_release":[],"journal_article":[],"atlas":[],"research_report":[],"infographic":[],"video":[],"downloads":null,"links":null,"sitecore_item_id":"6F919745-3976-4448-9DBB-DC88125DA734","sitecore_item_name":"Bayesian-synthesis-using-prior-information-on-fracture-risk-from-randomized-trials-to-analyze","sitecore_field_values":"{\n  \"Title\": \"Bayesian synthesis using prior information on fracture risk from randomized trials to analyze post-market data\",\n  \"Short title\": \"Bayesian synthesis using prior\",\n  \"Summary\": \"This is a retrospective cohort study of women age 66 or older diagnosed with stage I to III breast cancer in Ontario, Canada, between April 1, 2003 and February 28, 2010.\",\n  \"Citation\": \"<p>John-Baptiste A, Becker T, Fung K, Lipscombe LL, Austin PC, Anderson GM. <em>J Clin Epidemiol<\/em>. 2018; 101:79-86. Epub 2018 Jun 4.<\/p>\",\n  \"Abstract\": \"<p><strong>Objective<\/strong> &mdash; To conduct a Bayesian evidence synthesis using commonly available statistical procedures in order to estimate fracture risk for postmenopausal women undergoing hormonal therapy for breast cancer.<\/p>n<p><span class=\"bold\">Study Design and Setting<\/span> &mdash; Using linked administrative data, we conducted a retrospective cohort study of women age 66 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.<\/p>n<p><strong>Results<\/strong> &mdash; Of 10,259 included in the sample, 3,733 initiated on Tamoxifen and 6,526 on an aromatase inhibitor (AI). Posterior probabilities that the HR exceeded 1 for AI compared to Tamoxifen were 46% (HR=0.99, 95%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 fracture, respectively.<\/p>n<p><strong>Conclusions<\/strong> &mdash; Prior information resulted in higher posterior probabilities. The strength of evidence for increased risk varied by fracture site.<\/p>\",\n  \"Research Programs\": \"{85DE96A6-4C96-40C7-8E6D-7597A0EB5F80}\",\n  \"ICES Locations\": \"{FBE2D1B1-C0BA-423F-8D16-39466B6C1424}\",\n  \"ICES Scientists\": \"{DC2C9ADE-ED70-4834-A8AC-A7271C6E48F5}|{7D498E8B-5801-4F9E-AC41-11ED50F3C34E}|{38899D1B-38E7-4517-8DA3-0BDDF1F9944D}|{D47FFD7F-5765-4920-841B-2CD327ABE40F}\",\n  \"Posted Date\": \"20180604T000000\",\n  \"Show on Publications Landing Page\": \"1\"\n}","previous_url":"https:\/\/www.ices.on.ca\/Publications\/Journal-Articles\/2018\/June\/Bayesian-synthesis-using-prior-information-on-fracture-risk-from-randomized-trials-to-analyze"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ICES | Bayesian synthesis using prior information on fracture risk from randomized trials to analyze post-market data<\/title>\n<meta name=\"description\" content=\"Objective &#x2014; To conduct a Bayesian evidence synthesis using commonly available statistical procedures in order to estimate fracture risk for\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/bayesian-synthesis-using-prior-information-on-fracture-risk-from-randomized-trials-to-analyze-post-market-data\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ICES | Bayesian synthesis using prior information on fracture risk from randomized trials to analyze post-market data\" \/>\n<meta property=\"og:description\" content=\"Objective &#x2014; 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