{"id":3172,"date":"2024-06-10T11:22:31","date_gmt":"2024-06-10T15:22:31","guid":{"rendered":"https:\/\/cytel.agencyukdev.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/"},"modified":"2024-08-21T12:06:59","modified_gmt":"2024-08-21T16:06:59","slug":"dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications","status":"publish","type":"perspectives","link":"https:\/\/cytel.agencyukdev.com\/fr\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/","title":{"rendered":"Dynamic Bayesian Borrowing to Bolster Limited Sample Sizes in Rare Indications"},"content":{"rendered":"

Evaluating the efficacy and safety of novel therapies in rare indications can be challenging due to the difficulty of recruiting enough patients to conduct a well-powered clinical trial. To address these challenges there has been growing interest in the use of complex and innovative trial designs, which allow for borrowing of information from external data sources to supplement limited trial sample sizes1<\/a><\/sup> or reduce control group allocation in a hybrid-controlled trial2 <\/a><\/sup>\u2014 often through the use of Bayesian methods<\/a>. The U.S. Food and Drug Administration (FDA) has provided guidance on considerations for the appropriate use of Bayesian borrowing, including the importance of selecting a suitable external data source and evaluating the the type-I and type-II error operating characteristics under the proposed borrowing approach<\/a>.3,4,5<\/a><\/sup><\/p>\n

Bayesian borrowing methods such as the use of power priors6<\/a><\/sup> or robust meta-analytic predictive priors (robust MAP)7<\/a><\/sup> provide methods for partial information borrowing from external data sources to augment a concurrent control arm or pediatric trial using trial data in adult populations. These methods allow for the external data to be down-weighted either statically, or dynamically based on the degree of similarity in outcomes between data sources.1<\/a><\/sup> There has been a growing precedent for the use of Bayesian borrowing approaches, including a recent application in a post-marketing required pediatric study<\/a> for treatment of pediatric systemic lupus erythematosus (SLE), which resulted in an FDA approval recommendation.8<\/a><\/sup> Applications of prospective Bayesian borrowing designs have also seen uptake, for example, in a recent trial of a PDE4 inhibitor for idiopathic pulmonary fibrosis (IPF), which used Bayesian borrowing to reduce the control group allocation.9<\/a><\/sup><\/p>\n

As new drugs are developed to target a variety of rare indications, we will likely see increased use of complex and innovative designs to address the key challenges of evaluating efficacy and safety in these settings. Bayesian borrowing methods<\/a> are poised to see increased uptake due to their promise for augmenting limited sample sizes using external data.<\/p>\n

 <\/p>\n

Want to learn more about Bayesian methods? <\/span>Download our complimentary ebook<\/a>, Topics in Bayesian Methods.<\/em><\/p>\n

\u00a0<\/span><\/p>\n

Notes:<\/strong><\/p>\n

[1] Viele K, Berry S, Neuenschwander B, Amzal B, Chen F, Enas N, Hobbs B, Ibrahim JG, Kinnersley N, Lindborg S, Micallef S. Use of historical control data for assessing treatment effects in clinical trials. Pharmaceutical statistics. 2014 Jan;13(1):41-54.<\/p>\n

[2] Dron L, Golchi S, Hsu G, Thorlund K. Minimizing control group allocation in randomized trials using dynamic borrowing of external control data\u201a\u00c4\u00ecan application to second line therapy for non-small cell lung cancer. Contemporary Clinical Trials Communications. 2019 Dec 1;16:100446.<\/p>\n

[3] US Food and Drug Administration. Guidance for the Use of Bayesian Statistics in Medical Device Clinical Trials<\/a>. Guidance for Industry and FDA Staff. 2010.<\/p>\n

[4] US Food and Drug Administration. Adaptive Designs for Clinical Trials of Drugs and Biologics Guidance for Industry<\/a>. 2019.<\/p>\n

[5] US Food and Drug Administration. Interacting with the FDA on Complex Innovative Trial Designs for Drugs and Biological Products: Guidance for Industry<\/a>. 2020.<\/p>\n

[6] Ibrahim JG, Chen MH, Gwon Y, Chen F. The power prior: theory and applications. Statistics in medicine. 2015 Dec 10;34(28):3724-49.<\/p>\n

[7] Schmidli H, Gsteiger S, Roychoudhury S, O’Hagan A, Spiegelhalter D, Neuenschwander B. Robust meta\u201a\u00c4\u00eaanalytic\u201a\u00c4\u00eapredictive priors in clinical trials with historical control information. Biometrics. 2014 Dec;70(4):1023-32.<\/p>\n

[8] US Food and Drug Administration. BLA 125370\/s-064 and BLA 761043\/s-007 Multi-disciplinary Review and Evalaution Benlysta\u00ac\u00c6 (belimumab) for Intravenous Infusion in Children 5 to 17 Years of Age with SLE<\/a>. 2018 Oct.<\/p>\n

[9] Richeldi L, Azuma A, Cottin V, Hesslinger C, Stowasser S, Valenzuela C, Wijsenbeek MS, Zoz DF, Voss F, Maher TM. Trial of a preferential phosphodiesterase 4B inhibitor for idiopathic pulmonary fibrosis. New England Journal of Medicine. 2022 Jun 9;386(23):2178-87.<\/span><\/p>\n

 <\/p>\n","protected":false},"featured_media":3105,"parent":0,"template":"","meta":{"_acf_changed":false},"tags":[76],"by-topic":[429,434,430],"by-year":[73],"class_list":["post-3172","perspectives","type-perspectives","status-publish","has-post-thumbnail","hentry","tag-blog","by-topic-adaptive-clinical-trials","by-topic-bayesian-methods","by-topic-rare-diseases","by-year-73"],"acf":[],"yoast_head":"\nDynamic Bayesian Borrowing to Bolster Limited Sample Sizes in Rare Indications - Clinical Trial Software & Data Analysis | Cytel | Contact Us<\/title>\n<meta name=\"description\" content=\"Recruitment difficulties can make evaluating efficacy & safety of novel therapies in rare indications challenging, but complex and innovative trial designs can help.\" \/>\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.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dynamic Bayesian Borrowing to Bolster Limited Sample Sizes in Rare Indications - Clinical Trial Software & Data Analysis | Cytel | Contact Us\" \/>\n<meta property=\"og:description\" content=\"Recruitment difficulties can make evaluating efficacy & safety of novel therapies in rare indications challenging, but complex and innovative trial designs can help.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/\" \/>\n<meta property=\"og:site_name\" content=\"Clinical Trial Software & Data Analysis | Cytel | Contact Us\" \/>\n<meta property=\"article:modified_time\" content=\"2024-08-21T16:06:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.cytel.com\/wp-content\/uploads\/2024\/06\/Cytel_Abstract_1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1280\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.cytel.com\\\/perspectives\\\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\\\/\",\"url\":\"https:\\\/\\\/www.cytel.com\\\/perspectives\\\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\\\/\",\"name\":\"Dynamic Bayesian Borrowing to Bolster Limited Sample Sizes in Rare Indications - Clinical Trial Software & Data Analysis | Cytel | Contact Us\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/cytel.agencyukdev.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.cytel.com\\\/perspectives\\\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.cytel.com\\\/perspectives\\\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/cytel.agencyukdev.com\\\/wp-content\\\/uploads\\\/2024\\\/06\\\/Cytel_Abstract_1.jpg\",\"datePublished\":\"2024-06-10T15:22:31+00:00\",\"dateModified\":\"2024-08-21T16:06:59+00:00\",\"description\":\"Recruitment difficulties can make evaluating efficacy & safety of novel therapies in rare indications challenging, but complex and innovative trial designs can help.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.cytel.com\\\/perspectives\\\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.cytel.com\\\/perspectives\\\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/www.cytel.com\\\/perspectives\\\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\\\/#primaryimage\",\"url\":\"https:\\\/\\\/cytel.agencyukdev.com\\\/wp-content\\\/uploads\\\/2024\\\/06\\\/Cytel_Abstract_1.jpg\",\"contentUrl\":\"https:\\\/\\\/cytel.agencyukdev.com\\\/wp-content\\\/uploads\\\/2024\\\/06\\\/Cytel_Abstract_1.jpg\",\"width\":1920,\"height\":1280},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.cytel.com\\\/perspectives\\\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\\\/\\\/cytel.agencyukdev.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Dynamic Bayesian Borrowing to Bolster Limited Sample Sizes in Rare Indications\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/cytel.agencyukdev.com\\\/#website\",\"url\":\"https:\\\/\\\/cytel.agencyukdev.com\\\/\",\"name\":\"Clinical Trial Software & Data Analysis | Cytel | Contact Us\",\"description\":\"Innovative Trial Design. Cytel is the largest provider of statistical software and advanced analytics for clinical trial design and execution.\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/cytel.agencyukdev.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Dynamic Bayesian Borrowing to Bolster Limited Sample Sizes in Rare Indications - Clinical Trial Software & Data Analysis | Cytel | Contact Us","description":"Recruitment difficulties can make evaluating efficacy & safety of novel therapies in rare indications challenging, but complex and innovative trial designs can help.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/","og_locale":"fr_FR","og_type":"article","og_title":"Dynamic Bayesian Borrowing to Bolster Limited Sample Sizes in Rare Indications - Clinical Trial Software & Data Analysis | Cytel | Contact Us","og_description":"Recruitment difficulties can make evaluating efficacy & safety of novel therapies in rare indications challenging, but complex and innovative trial designs can help.","og_url":"https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/","og_site_name":"Clinical Trial Software & Data Analysis | Cytel | Contact Us","article_modified_time":"2024-08-21T16:06:59+00:00","og_image":[{"width":1920,"height":1280,"url":"https:\/\/www.cytel.com\/wp-content\/uploads\/2024\/06\/Cytel_Abstract_1.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Dur\u00e9e de lecture estim\u00e9e":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/","url":"https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/","name":"Dynamic Bayesian Borrowing to Bolster Limited Sample Sizes in Rare Indications - Clinical Trial Software & Data Analysis | Cytel | Contact Us","isPartOf":{"@id":"https:\/\/cytel.agencyukdev.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/#primaryimage"},"image":{"@id":"https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/#primaryimage"},"thumbnailUrl":"https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/06\/Cytel_Abstract_1.jpg","datePublished":"2024-06-10T15:22:31+00:00","dateModified":"2024-08-21T16:06:59+00:00","description":"Recruitment difficulties can make evaluating efficacy & safety of novel therapies in rare indications challenging, but complex and innovative trial designs can help.","breadcrumb":{"@id":"https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/#primaryimage","url":"https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/06\/Cytel_Abstract_1.jpg","contentUrl":"https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/06\/Cytel_Abstract_1.jpg","width":1920,"height":1280},{"@type":"BreadcrumbList","@id":"https:\/\/www.cytel.com\/perspectives\/dynamic-bayesian-borrowing-to-bolster-limited-sample-sizes-in-rare-indications\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Accueil","item":"https:\/\/cytel.agencyukdev.com\/"},{"@type":"ListItem","position":2,"name":"Dynamic Bayesian Borrowing to Bolster Limited Sample Sizes in Rare Indications"}]},{"@type":"WebSite","@id":"https:\/\/cytel.agencyukdev.com\/#website","url":"https:\/\/cytel.agencyukdev.com\/","name":"Clinical Trial Software & Data Analysis | Cytel | Contact Us","description":"Innovative Trial Design. Cytel is the largest provider of statistical software and advanced analytics for clinical trial design and execution.","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/cytel.agencyukdev.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"fr-FR"}]}},"_links":{"self":[{"href":"https:\/\/cytel.agencyukdev.com\/fr\/wp-json\/wp\/v2\/perspectives\/3172","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cytel.agencyukdev.com\/fr\/wp-json\/wp\/v2\/perspectives"}],"about":[{"href":"https:\/\/cytel.agencyukdev.com\/fr\/wp-json\/wp\/v2\/types\/perspectives"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cytel.agencyukdev.com\/fr\/wp-json\/wp\/v2\/media\/3105"}],"wp:attachment":[{"href":"https:\/\/cytel.agencyukdev.com\/fr\/wp-json\/wp\/v2\/media?parent=3172"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cytel.agencyukdev.com\/fr\/wp-json\/wp\/v2\/tags?post=3172"},{"taxonomy":"by-topic","embeddable":true,"href":"https:\/\/cytel.agencyukdev.com\/fr\/wp-json\/wp\/v2\/by-topic?post=3172"},{"taxonomy":"by-year","embeddable":true,"href":"https:\/\/cytel.agencyukdev.com\/fr\/wp-json\/wp\/v2\/by-year?post=3172"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}