Identification of treatment effect modifiers and prognostic factors in newly diagnosed and relapsed or refractory multiple myeloma

<b>Aim:</b> We aimed to identify variables that affect the prognosis and treatment effect in multiple myeloma (MM). <b>Materials & methods:</b> Published literature of randomized controlled trials (RCTs) and population-adjusted indirect comparisons (PAICs) in newly diagnosed (ND) and relapsed/refractory (RR) MM populations reporting overall survival (OS) and progression-free survival (PFS) were identified. Possible treatment effect modifiers (TEMs) were evaluated based on the ratio between effect estimates of different strata within subgroups for OS and PFS among eligible RCTs. Potential prognostic factors (PFs) were identified using the lists of covariates adjusted for in PAICs meeting the eligibility criteria. <b>Results:</b> Sixty-five RCTs and 59 PAICs were included for synthesis. In ND-MM and RR-MM patients, age, sex, International Staging System stage, and cytogenetics were identified as potential TEMs for PFS based on data from published RCTs. Refractory disease, prior therapy exposure status and creatinine clearance were additional TEMs for PFS in RR-MM patients. Eastern Cooperative Oncology Group performance score and creatinine clearance were TEM candidates of PFS for ND-MM stem-cell transplant-ineligible patients. No consistent TEMs for OS were identified across all MM populations. Commonly adjusted variables for both OS and PFS in published PAICs of all populations aligned with potential TEMs of PFS identified in published RCTs. Additionally, subtype of MM, time since diagnosis and extramedullary disease or presence of plasmacytoma were common variables for adjustment in PAICs evaluating RR-MM. Frequency of each variable adjusted for differs by population and outcome. Only one PAIC reported TEMs separately from PFs. <b>Conclusion:</b> TEMs and PFs identified herein can help inform future clinical trial design and serve as a primer when conducting PAICs evaluating OS and PFS in ND/RR-MM.

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Publication Details

Journal
Journal of Comparative Effectiveness Research
Published
2025-08-12
DOI
https://doi.org/10.57264/cer-2024-0180
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
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article

Identification of treatment effect modifiers and prognostic factors in newly diagnosed and relapsed or refractory multiple myeloma

Mahmoud Hashim, Lingfeng Yang, Karen Chiang, John Maringwa et al.
1 links
Journal of Comparative Effectiveness Research
Multiple Myeloma Research and Treatments
article

Identification of treatment effect modifiers and prognostic factors in newly diagnosed and relapsed or refractory multiple myeloma

Mahmoud Hashim, Lingfeng Yang, Karen Chiang, John Maringwa, Imtiaz A. Samjoo, Jianming He, Mi Jun Keng, Sandhya Nair, Xiwu Lin, Winghan Jacqueline Kwong
article en

Abstract

<b>Aim:</b> We aimed to identify variables that affect the prognosis and treatment effect in multiple myeloma (MM). <b>Materials & methods:</b> Published literature of randomized controlled trials (RCTs) and population-adjusted indirect comparisons (PAICs) in newly diagnosed (ND) and relapsed/refractory (RR) MM populations reporting overall survival (OS) and progression-free survival (PFS) were identified. Possible treatment effect modifiers (TEMs) were evaluated based on the ratio between effect estimates of different strata within subgroups for OS and PFS among eligible RCTs. Potential prognostic factors (PFs) were identified using the lists of covariates adjusted for in PAICs meeting the eligibility criteria. <b>Results:</b> Sixty-five RCTs and 59 PAICs were included for synthesis. In ND-MM and RR-MM patients, age, sex, International Staging System stage, and cytogenetics were identified as potential TEMs for PFS based on data from published RCTs. Refractory disease, prior therapy exposure status and creatinine clearance were additional TEMs for PFS in RR-MM patients. Eastern Cooperative Oncology Group performance score and creatinine clearance were TEM candidates of PFS for ND-MM stem-cell transplant-ineligible patients. No consistent TEMs for OS were identified across all MM populations. Commonly adjusted variables for both OS and PFS in published PAICs of all populations aligned with potential TEMs of PFS identified in published RCTs. Additionally, subtype of MM, time since diagnosis and extramedullary disease or presence of plasmacytoma were common variables for adjustment in PAICs evaluating RR-MM. Frequency of each variable adjusted for differs by population and outcome. Only one PAIC reported TEMs separately from PFs. <b>Conclusion:</b> TEMs and PFs identified herein can help inform future clinical trial design and serve as a primer when conducting PAICs evaluating OS and PFS in ND/RR-MM.

Journal of Comparative Effectiveness ResearchVol. 14(10)
Johnson & Johnson (United States) (US), EVERSANA (Canada) (CA), Johnson & Johnson (Netherlands) (NL)
Good health and well-being
Openalex Percentile: Top 75%
Multiple Myeloma Research and Treatments
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