Follow up duration of phase III Multiple Myeloma Clinical Trials: A systematic review

Author:

Ali Mohammad O.1,Abdullah Hafez M.1,Obeidat Khaldun2,Chakraborty Rajshekhar3,Al Hadidi Samer4ORCID

Affiliation:

1. Department of Internal Medicine Sanford School of Medicine University of South Dakota Sioux Falls South Dakota USA

2. Department of Internal Medicine John H Stroger Jr Hospital of Cook County Chicago Illinois USA

3. Multiple Myeloma and Amyloidosis Program Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center New York New York USA

4. Myeloma Center, Winthrop P. Rockefeller Cancer Institute University of Arkansas for Medical Sciences Little Rock Arkansas USA

Abstract

AbstractLong‐term follow‐up of multiple myeloma (MM) clinical trials are needed to assess long‐term outcomes. We aimed to investigate the length of follow‐up of all phase III MM clinical trials. Median follow‐up duration of clinical trials of newly diagnosed MM was longer when compared to relapsed/refractory MM clinical trials (42.7 vs. 20.5 months, respectively). The follow‐up duration of phase III clinical trials in MM is relatively short when compared to the improved outcomes in the current era. Efforts should be made to facilitate long‐term clinical trials follow‐up and/or publication of results of updated results.

Publisher

Wiley

Subject

General Earth and Planetary Sciences

Reference12 articles.

1. Surveillance Epidemiology and End Results (SEER) Program(www.seer.cancer.gov) SEER*Stat Database: Mortality ‐ All COD Aggregated With State Total U.S. (1969‐2019) Katrina/Rita Population Adjustment National Cancer Institute DCCPS Surveillance Research Program released April 2021. Underlying mortality data provided by NCHS (www.cdc.gov)

2. Long-Term Follow-Up Results of Lenalidomide, Bortezomib, and Dexamethasone Induction Therapy and Risk-Adapted Maintenance Approach in Newly Diagnosed Multiple Myeloma

3. The R Project for Statistical Computing.R: a language and environment for statistical computing. 2013. Accessed November 18 2022.http://www.r‐project.org/

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3