Literature DB >> 33598857

Comparative Effectiveness Research for CAR-T Therapies in Multiple Myeloma: Appropriate Comparisons Require Careful Considerations of Data Sources and Patient Populations.

Nina Shah1, Matthew Sussman2, Concetta Crivera3, Satish Valluri3, Jennifer Benner4, Sundar Jagannath5.   

Abstract

BACKGROUND AND
OBJECTIVE: Registrational trials for ciltacabtagene autoleucel [cilta-cel]) and idecabtagene vicleucel [ide-cel] chimeric antigen receptor T-cell (CAR-T) therapies were single-arm studies conducted with relapse refractory multiple myeloma (MM) patients who were triple-class-exposed (TCE) or triple-class-refractory (TCR). It is critical for researchers conducting comparative effectiveness research (CER) to carefully consider the most appropriate data sources and comparable patient populations. The aim of this study was to identify potential data sources and populations for comparing to single-arm CAR-T trials CARTITUDE-1 (cilta-cel) and KarMMa (ide-cel).
METHODS: A 2-part global systematic literature search produced a review of (1) clinical trials of National Comprehensive Cancer Network (NCCN) guideline preferred regimens in previously treated MM, and (2) real-world data cohorts of TCE or TCR populations, published between 1/1/2015 and 12/10/2020, with sample sizes of > 50 patients and reporting survival-related outcomes. Implications on CER and accepted best practices are discussed.
RESULTS: Nine clinical trials of NCCN preferred regimens were identified along with five real-world data-based publications. No clinical trials evaluated patients with TCE or TCR MM. Among the real-world data-based publications, two evaluated patients exclusively with TCR MM, two analyzed a mixed population of patients with TCE or TCR MM, and one publication assessed patients exclusively with TCE MM. Real-world data treatment patterns were heterogeneous.
CONCLUSION: Current NCCN preferred regimens were not specifically studied in TCE or TCR MM patients, although some studies do include a proportion of these types of patients. Therefore, appropriate matching of populations using either real-world data or patient level clinical trial data is critical to putting trials of novel CAR-Ts (i.e., CARTITUDE-1 or KarMMa) into appropriate comparative context.

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Year:  2021        PMID: 33598857     DOI: 10.1007/s40261-021-01012-x

Source DB:  PubMed          Journal:  Clin Drug Investig        ISSN: 1173-2563            Impact factor:   2.859


  20 in total

Review 1.  The methods of comparative effectiveness research.

Authors:  Harold C Sox; Steven N Goodman
Journal:  Annu Rev Public Health       Date:  2012-01-03       Impact factor: 21.981

2.  Good Practices for Real-World Data Studies of Treatment and/or Comparative Effectiveness: Recommendations from the Joint ISPOR-ISPE Special Task Force on Real-World Evidence in Health Care Decision Making.

Authors:  Marc L Berger; Harold Sox; Richard J Willke; Diana L Brixner; Hans-Georg Eichler; Wim Goettsch; David Madigan; Amr Makady; Sebastian Schneeweiss; Rosanna Tarricone; Shirley V Wang; John Watkins; C Daniel Mullins
Journal:  Value Health       Date:  2017-09-15       Impact factor: 5.725

3.  Evaluation of comparative effectiveness research: a practical tool.

Authors:  Debra A Schaumberg; Laura McDonald; Surbhi Shah; Michael Stokes; Beth L Nordstrom; Sreeram V Ramagopalan
Journal:  J Comp Eff Res       Date:  2018-02-21       Impact factor: 1.744

4.  Outcomes of patients with multiple myeloma refractory to CD38-targeted monoclonal antibody therapy.

Authors:  Ujjawal H Gandhi; Robert F Cornell; Arjun Lakshman; Zhubin J Gahvari; Elizabeth McGehee; Megan H Jagosky; Ridhi Gupta; William Varnado; Mark A Fiala; Saurabh Chhabra; Ehsan Malek; Joshua Mansour; Barry Paul; Alyssa Barnstead; Saranya Kodali; Amarendra Neppalli; Michaela Liedtke; Swapna Narayana; Kelly N Godby; Yubin Kang; Ankit Kansagra; Elvira Umyarova; Emma C Scott; Parameswaran Hari; Ravi Vij; Saad Z Usmani; Natalie S Callander; Shaji K Kumar; Luciano J Costa
Journal:  Leukemia       Date:  2019-03-11       Impact factor: 11.528

5.  Daratumumab, Bortezomib, and Dexamethasone for Multiple Myeloma.

Authors:  Antonio Palumbo; Asher Chanan-Khan; Katja Weisel; Ajay K Nooka; Tamas Masszi; Meral Beksac; Ivan Spicka; Vania Hungria; Markus Munder; Maria V Mateos; Tomer M Mark; Ming Qi; Jordan Schecter; Himal Amin; Xiang Qin; William Deraedt; Tahamtan Ahmadi; Andrew Spencer; Pieter Sonneveld
Journal:  N Engl J Med       Date:  2016-08-25       Impact factor: 91.245

6.  Carfilzomib, lenalidomide, and dexamethasone for relapsed multiple myeloma.

Authors:  A Keith Stewart; S Vincent Rajkumar; Meletios A Dimopoulos; Tamás Masszi; Ivan Špička; Albert Oriol; Roman Hájek; Laura Rosiñol; David S Siegel; Georgi G Mihaylov; Vesselina Goranova-Marinova; Péter Rajnics; Aleksandr Suvorov; Ruben Niesvizky; Andrzej J Jakubowiak; Jesus F San-Miguel; Heinz Ludwig; Michael Wang; Vladimír Maisnar; Jiri Minarik; William I Bensinger; Maria-Victoria Mateos; Dina Ben-Yehuda; Vishal Kukreti; Naseem Zojwalla; Margaret E Tonda; Xinqun Yang; Biao Xing; Philippe Moreau; Antonio Palumbo
Journal:  N Engl J Med       Date:  2014-12-06       Impact factor: 91.245

7.  The GRACE Checklist: A Validated Assessment Tool for High Quality Observational Studies of Comparative Effectiveness.

Authors:  Nancy A Dreyer; Allison Bryant; Priscilla Velentgas
Journal:  J Manag Care Spec Pharm       Date:  2016-10

8.  Phase I/II study of bortezomib, lenalidomide, and dexamethasone treatment for relapsed and refractory multiple myeloma.

Authors:  Yasuo Mori; Ilseung Choi; Goichi Yoshimoto; Tsuyoshi Muta; Satoshi Yamasaki; Kazuki Tanimoto; Tomohiko Kamimura; Hiromi Iwasaki; Ryosuke Ogawa; Koichi Akashi; Toshihiro Miyamoto
Journal:  Int J Hematol       Date:  2020-01-24       Impact factor: 2.319

Review 9.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration.

Authors:  Jan P Vandenbroucke; Erik von Elm; Douglas G Altman; Peter C Gøtzsche; Cynthia D Mulrow; Stuart J Pocock; Charles Poole; James J Schlesselman; Matthias Egger
Journal:  PLoS Med       Date:  2007-10-16       Impact factor: 11.069

10.  The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement.

Authors:  Eric I Benchimol; Liam Smeeth; Astrid Guttmann; Katie Harron; David Moher; Irene Petersen; Henrik T Sørensen; Erik von Elm; Sinéad M Langan
Journal:  PLoS Med       Date:  2015-10-06       Impact factor: 11.069

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