Financial Toxicity and Satisfaction With Cancer Treatment Among Patients With Multiple Myeloma: An Analysis of the MMRF’s CureCloud Initiative

Over one-third of patients with MM were considered to be experiencing financial toxicity and financial toxicity was associated with reduced satisfaction with MM treatment.

Authors

Institutions

Publication Details

Journal
Clinical Lymphoma Myeloma & Leukemia
Published
2025-10-09
DOI
https://doi.org/10.1016/j.clml.2025.10.007
Citations
2
Primary Topic
Economic and Financial Impacts of Cancer
Type
article
Field-Weighted Citation Impact
6.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Financial Toxicity and Satisfaction With Cancer Treatment Among Patients With Multiple Myeloma: An Analysis of the MMRF’s CureCloud Initiative

Hearn Jay Cho, Mark A. Fiala, George Mulligan, Eva M. Lepisto et al.
2 citations
Clinical Lymphoma Myeloma & Leukemia
Economic and Financial Impacts of Cancer
6.26
article

Financial Toxicity and Satisfaction With Cancer Treatment Among Patients With Multiple Myeloma: An Analysis of the MMRF’s CureCloud Initiative

Hearn Jay Cho, Mark A. Fiala, George Mulligan, Eva M. Lepisto, Jessica Schulman, Chioma Amadi-Mgbenka
article en
2 citations

Abstract

Over one-third of patients with MM were considered to be experiencing financial toxicity and financial toxicity was associated with reduced satisfaction with MM treatment.

Clinical Lymphoma Myeloma & LeukemiaVol. 26(2)
Washington University in St. Louis (US), Multiple Myeloma Research Foundation (US)
Openalex Percentile: Top 4%
Economic and Financial Impacts of Cancer
6.26
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.