2022
DOI: 10.1016/s2666-7568(22)00172-6
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Association of IMWG frailty score with health-related quality of life profile of patients with relapsed refractory multiple myeloma in Italy and the UK: a GIMEMA, multicentre, cross-sectional study

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Cited by 13 publications
(6 citation statements)
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“…9 This integration allows all users to readily distinguish t from frail patients and expeditiously adjust therapy intensity during our weekly performed interdisciplinary MM-TB discussion. 9,10,13,14 While various functional tests, including different comorbidity scores and geriatric functional tests have been examined, 13,[27][28][29][30] the R-MCI was explicitly helpful to individualize treatment decisions and improving the tolerance of MM therapy. 10 Additionally, the R-MCI has been recognized as the only comorbidity index that did not show signi cant differences in risk group distribution for both retrospective and prospective data, thus it was reliably assessable from both data sets.…”
Section: Discussionmentioning
confidence: 99%
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“…9 This integration allows all users to readily distinguish t from frail patients and expeditiously adjust therapy intensity during our weekly performed interdisciplinary MM-TB discussion. 9,10,13,14 While various functional tests, including different comorbidity scores and geriatric functional tests have been examined, 13,[27][28][29][30] the R-MCI was explicitly helpful to individualize treatment decisions and improving the tolerance of MM therapy. 10 Additionally, the R-MCI has been recognized as the only comorbidity index that did not show signi cant differences in risk group distribution for both retrospective and prospective data, thus it was reliably assessable from both data sets.…”
Section: Discussionmentioning
confidence: 99%
“…Instead, FA is superior in specifying patients' constitution and biological age [7][8][9][10][11][12][13][14]24 which is why treatment decisions should rather depend on FA tools, such as R-MCI or others. 12,23,24,[27][28][29][30] Strengths of our analysis included the precise examination of a large MM-TB cohort, the repeated R-MCI analysis, and the observed dose reduction, well-associated with R-MCI-, rather than age-subgroups. Our observation period of 3 years was substantial, and the detailed examination of patients with various numbers of TB presentations and deterioration in their health status (R-MCI) exhibited their complexity.…”
Section: Discussionmentioning
confidence: 99%
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“…We performed a secondary analysis by merging data sets from six multicenter studies conducted by the Italian Group for Adult Hematologic Diseases (GIMEMA). [22][23][24][25][26][27] This pooled data set contained socioeconomic, clinical and patientreported outcomes (PROs) data of patients with myelodysplastic syndromes (MDS), acute promyelocytic leukemia (APL), chronic myeloid leukemia (CML), and relapsed/ refractory multiple myeloma (RRMM). For each included study except one, we used for the analysis the HRQoL baseline assessment (details of data sets used are provided in Appendix Table A1, online only).…”
Section: Study Design and Patientsmentioning
confidence: 99%
“…Comorbidity/frailty scores (comorbidity indices [CI]) have shown prognostic precision to define "fit" versus "frail" patients. [2][3][4] They may also prove advantageous to adjust patient-specific regimens and reduce therapy-induced side effects. 5,6 There are several CI in clinical use, for example the International Myeloma Working Group (IMWG) frailty index or Revised Myeloma Comorbidity Index (R-MCI) apart from others (Online Supplementary Table S1).…”
Section: Comorbidity Indices For Prognostic Evaluation In Multiple My...mentioning
confidence: 99%