贝叶斯框架中的多个真实世界数据源,为Mosunetuzumab在毛囊淋巴瘤患者中的长期生存估计提供信息。

IF 3.2 Q2 ONCOLOGY
Oncology and Therapy Pub Date : 2023-12-01 Epub Date: 2023-10-18 DOI:10.1007/s40487-023-00245-4
Javier Sanchez Alvarez, Mahmoud Jaber, Marie-Hélène Blanchet Zumofen
{"title":"贝叶斯框架中的多个真实世界数据源,为Mosunetuzumab在毛囊淋巴瘤患者中的长期生存估计提供信息。","authors":"Javier Sanchez Alvarez, Mahmoud Jaber, Marie-Hélène Blanchet Zumofen","doi":"10.1007/s40487-023-00245-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Patients with follicular lymphoma (FL) receiving third-line or later (3L +) therapy have long survival, which can make estimating long-term overall survival (OS) from trial data challenging. The objective of this study was to estimate long-term OS for mosunetuzumab from the GO29781 trial (NCT02500407) using multiple real-world databases (RWDs) in a Bayesian framework.</p><p><strong>Methods: </strong>Seven RWD sources for patients with FL receiving 3L + therapy and the expansion cohort in the GO29781 trial for mosunetuzumab were used. Hazard trends from the RWD sources were analyzed, and disease-wide pointwise OS and its corresponding uncertainty were estimated using Bayesian random-effects meta-analysis from the RWD sources. Pointwise OS obtained was used as an informative prior in Bayesian survival extrapolations to data from patients receiving mosunetuzumab. Results after adjusting for background mortality were compared to equivalent frequentist extrapolations using trial data only.</p><p><strong>Results: </strong>Hazard patterns from RWD sources supported a constant or linearly decreasing hazard. Mean pointwise OS for patients with FL receiving 3L + therapy was estimated at 0.52 (95% credible interval, 0.29-0.85) at 8 years. Bayesian extrapolations for mosunetuzumab produced median survival estimates of 11.6 (6.7-20.7) years to 17.0 (6.4-22.7) years depending on the distribution used, reducing uncertainty by 20% to 46% relative to the frequentist estimation.</p><p><strong>Conclusion: </strong>Multiple RWD sources can be synthesized to augment the credibility of data with short follow-up, long patient survival, and few events to effectively estimate long-term survival and reduce estimated uncertainty. This method can be applied to other indications with similar characteristics.</p><p><strong>Clinical trial registration number and date of registration: </strong>NCT02500407, July 16, 2015.</p>","PeriodicalId":44205,"journal":{"name":"Oncology and Therapy","volume":" ","pages":"495-511"},"PeriodicalIF":3.2000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673801/pdf/","citationCount":"0","resultStr":"{\"title\":\"Multiple Real-World Data Sources in a Bayesian Framework to Inform Long-Term Survival Estimates of Mosunetuzumab in Patients with Follicular Lymphoma.\",\"authors\":\"Javier Sanchez Alvarez, Mahmoud Jaber, Marie-Hélène Blanchet Zumofen\",\"doi\":\"10.1007/s40487-023-00245-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Patients with follicular lymphoma (FL) receiving third-line or later (3L +) therapy have long survival, which can make estimating long-term overall survival (OS) from trial data challenging. The objective of this study was to estimate long-term OS for mosunetuzumab from the GO29781 trial (NCT02500407) using multiple real-world databases (RWDs) in a Bayesian framework.</p><p><strong>Methods: </strong>Seven RWD sources for patients with FL receiving 3L + therapy and the expansion cohort in the GO29781 trial for mosunetuzumab were used. Hazard trends from the RWD sources were analyzed, and disease-wide pointwise OS and its corresponding uncertainty were estimated using Bayesian random-effects meta-analysis from the RWD sources. Pointwise OS obtained was used as an informative prior in Bayesian survival extrapolations to data from patients receiving mosunetuzumab. Results after adjusting for background mortality were compared to equivalent frequentist extrapolations using trial data only.</p><p><strong>Results: </strong>Hazard patterns from RWD sources supported a constant or linearly decreasing hazard. Mean pointwise OS for patients with FL receiving 3L + therapy was estimated at 0.52 (95% credible interval, 0.29-0.85) at 8 years. Bayesian extrapolations for mosunetuzumab produced median survival estimates of 11.6 (6.7-20.7) years to 17.0 (6.4-22.7) years depending on the distribution used, reducing uncertainty by 20% to 46% relative to the frequentist estimation.</p><p><strong>Conclusion: </strong>Multiple RWD sources can be synthesized to augment the credibility of data with short follow-up, long patient survival, and few events to effectively estimate long-term survival and reduce estimated uncertainty. This method can be applied to other indications with similar characteristics.</p><p><strong>Clinical trial registration number and date of registration: </strong>NCT02500407, July 16, 2015.</p>\",\"PeriodicalId\":44205,\"journal\":{\"name\":\"Oncology and Therapy\",\"volume\":\" \",\"pages\":\"495-511\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673801/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oncology and Therapy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40487-023-00245-4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/10/18 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oncology and Therapy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40487-023-00245-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/18 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

简介:接受三线或更晚(3L)治疗的滤泡性淋巴瘤(FL)患者 +) 治疗的生存期很长,这使得从试验数据中估计长期总生存期(OS)具有挑战性。本研究的目的是在贝叶斯框架中使用多个真实世界数据库(RWD)来估计GO29781试验(NCT02500407)中莫舒妥珠单抗的长期OS。方法:接受3L治疗的FL患者的七种RWD来源 + 使用莫舒妥珠单抗GO29781试验中的治疗和扩展队列。分析了RWD来源的危害趋势,并使用RWD来源中的贝叶斯随机效应荟萃分析估计了疾病范围内的逐点OS及其相应的不确定性。获得的Pointwise OS被用作贝叶斯生存推断中的信息先验,以推断接受莫舒妥单抗治疗的患者的数据。将调整背景死亡率后的结果与仅使用试验数据的等效频率学家推断进行比较。结果:RWD源的危害模式支持恒定或线性下降的危害。FL患者接受3L治疗的平均点OS + 治疗8年时估计为0.52(95%可信区间,0.29-0.85)。mosunetuzumab的贝叶斯外推产生了11.6(6.7-20.7)年至17.0(6.4-22.7)年的中位生存估计,这取决于所使用的分布,相对于频率学家的估计,将不确定性降低了20%至46%。结论:可以综合多个RWD来源,以提高数据的可信度,随访时间短,患者生存期长,事件少,从而有效估计长期生存率,减少估计的不确定性。该方法可应用于具有类似特征的其他适应症。临床试验注册号和注册日期:NCT025004072015年7月16日。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple Real-World Data Sources in a Bayesian Framework to Inform Long-Term Survival Estimates of Mosunetuzumab in Patients with Follicular Lymphoma.

Introduction: Patients with follicular lymphoma (FL) receiving third-line or later (3L +) therapy have long survival, which can make estimating long-term overall survival (OS) from trial data challenging. The objective of this study was to estimate long-term OS for mosunetuzumab from the GO29781 trial (NCT02500407) using multiple real-world databases (RWDs) in a Bayesian framework.

Methods: Seven RWD sources for patients with FL receiving 3L + therapy and the expansion cohort in the GO29781 trial for mosunetuzumab were used. Hazard trends from the RWD sources were analyzed, and disease-wide pointwise OS and its corresponding uncertainty were estimated using Bayesian random-effects meta-analysis from the RWD sources. Pointwise OS obtained was used as an informative prior in Bayesian survival extrapolations to data from patients receiving mosunetuzumab. Results after adjusting for background mortality were compared to equivalent frequentist extrapolations using trial data only.

Results: Hazard patterns from RWD sources supported a constant or linearly decreasing hazard. Mean pointwise OS for patients with FL receiving 3L + therapy was estimated at 0.52 (95% credible interval, 0.29-0.85) at 8 years. Bayesian extrapolations for mosunetuzumab produced median survival estimates of 11.6 (6.7-20.7) years to 17.0 (6.4-22.7) years depending on the distribution used, reducing uncertainty by 20% to 46% relative to the frequentist estimation.

Conclusion: Multiple RWD sources can be synthesized to augment the credibility of data with short follow-up, long patient survival, and few events to effectively estimate long-term survival and reduce estimated uncertainty. This method can be applied to other indications with similar characteristics.

Clinical trial registration number and date of registration: NCT02500407, July 16, 2015.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
3.40
自引率
0.00%
发文量
31
审稿时长
6 weeks
期刊介绍: Now indexed in PubMed Aims and Scope Oncology and Therapy is an international, peer reviewed, rapid-publication (peer review in 2 weeks, published 3–4 weeks from acceptance) journal dedicated to the publication of high-quality pre-clinical, clinical (all phases), observational, real-world, and health outcomes research around the discovery, development, and use of therapeutics and interventions (including devices) across all therapeutic areas. Studies relating to diagnostics and diagnosis, pharmacoeconomics, public health, epidemiology, quality of life, and patient care, management, and education are also encouraged. The journal is of interest to a broad audience of healthcare professionals and publishes original research, reviews, communications and letters. The journal is read by a global audience and receives submissions from all over the world. Oncology and Therapy will consider all scientifically sound research be it positive, confirmatory or negative data. Submissions are welcomed whether they relate to an international and/or a country-specific audience, something that is crucially important when researchers are trying to target more specific patient populations. This inclusive approach allows the journal to assist in the dissemination of all scientifically and ethically sound research. Rapid Publication The journal’s rapid publication timelines aim for a peer review decision within 2 weeks of submission. If an article is accepted it will be published online 3-4 weeks from acceptance. These rapid timelines are achieved through the combination of a dedicated in-house editorial team, who closely manage article workflow, and an extensive Editorial and Advisory Board who assist with rapid peer review. This allows the journal to support the rapid dissemination of research, whilst still providing robust peer review. Combined with the journal’s open access model this allows for the rapid and efficient communication of the latest research and reviews, allowing the advancement of clinical therapies. Personal Service The journal’s dedicated in-house editorial team offer a personal “concierge service” meaning that authors will always have a personal point of contact able to update them on the status of their manuscript. The editorial team check all manuscripts to ensure that articles conform to the most recent COPE, GPP and ICMJE publishing guidelines. This supports the publication of ethically sound and transparent research. We also encourage pre-submission enquiries and are always happy to provide a confidential assessment of manuscripts. Digital features and plain language summaries Oncology and Therapy offers a range of additional features designed to increase the visibility, readership and educational value of the journal’s content. Each article is accompanied by key summary points, giving a time-efficient overview of the content to a wide readership. Articles may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand the scientific content and overall implications of the article. The journal also provides the option to include various types of digital features including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations. All additional features are peer reviewed to the same high standard as the article itself. If you consider that your paper would benefit from the inclusion of a digital feature, please let us know. Our editorial team are able to create high-quality slide decks and infographics in-house, and video abstracts through our partner Research Square, and would be happy to assist in any way we can. For further information about digital features, please contact the journal editor (see ‘Contact the Journal’ for email address), and see the ‘Guidelines for digital features and plain language summaries’ document under ‘Submission guidelines’. Preprints We encourage posting of preprints of primary research manuscripts on preprint servers, authors'' or institutional websites, and open communications between researchers whether on community preprint servers or preprint commenting platforms. Posting of preprints is not considered prior publication and will not jeopardize consideration in our journals. Please see here for further information on preprint sharing: https://www.springer.com/gp/authors-editors/journal-author/journal-author-helpdesk/submission/1302#c16721550 Peer Review Process Upon submission, manuscripts are assessed by the editorial team to ensure they fit within the aims and scope of the journal and are also checked for plagiarism. All suitable submissions are then subject to a comprehensive single-blind peer review. Reviewers are selected based on their relevant expertise and publication history in the subject area. The journal has an extensive pool of editorial and advisory board members who have been selected to assist with peer review based on the afore-mentioned criteria. At least two extensive reviews are required to make the editorial decision, with the exception of some article types such as Commentaries, Editorials and Letters which are generally reviewed by one member of the Editorial Board. Where reviewer recommendations are conflicted, the editorial board will be contacted for further advice and a presiding decision. Manuscripts are then either accepted, rejected or authors are required to make major or minor revisions (both reviewer comments and editorial comments may need to be addressed). Once a revised manuscript is re-submitted, it is assessed along with the responses to reviewer comments and if it has been adequately revised it will be accepted for publication. Accepted manuscripts are then copyedited and typeset by the production team before online publication. Appeals against decisions following peer review are considered on a case by case basis and should be sent to the journal editor. Copyright Oncology and Therapy''s content is published open access under the Creative Commons Attribution-Noncommercial License, which allows users to read, copy, distribute, and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited. The author assigns the exclusive right to any commercial use of the article to Springer. For more information about the Creative Commons Attribution-Noncommercial License, click here: http://creativecommons.org/licenses/by-nc/4.0 Publication Fees Upon acceptance of an article, authors will be required to pay the mandatory Rapid Service Fee of £3650/€4500/$5100. The journal will consider fee discounts for developing countries and this is decided on a case by case basis. Open Access All articles published by Oncology and Therapy are published open access Contact For more information about the journal, including pre-submission enquiries, please contact managing editor Lydia Alborn at lydia.alborn@springer.com.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信