Evidence map›Paper›PMID 37164972›Full record

ArticleBlood cancer journal2023

Dynamic frailty risk assessment among older adults with multiple myeloma: A population-based cohort study.

Hira Mian, Tanya M Wildes, Ravi Vij, Matthew J Pianko, Ajay Major, Mark A Fiala

Registry-linked trialAbstract read
In one paragraph

Article in Blood cancer journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06099912 (Individualized Dynamic Frailty-tailored Therapy), which is not on this map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06099912 recruitingnot on this map

Individualized Dynamic Frailty-tailored Therapy (DynaFiT) in Elderly Patients With Newly Diagnosed Multiple Myeloma: a Prospective and Multi-center Study

TypeobservationalSponsorFengYan JinRan2021 to 2029Enrolled131ConditionsMultiple Myeloma, Frailty
3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

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  11. Article
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  14. Observational
  15. Article
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  18. Review
  19. [Frailty in oncogeriatrics].Innere Medizin (Heidelberg, Germany) · 2025
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hira MianDepartment of Oncology, McMaster University, Hamilton, Canada. hira.mian@medportal.ca.ORCID 0000-0003-1584-1067
Tanya M WildesDivision of Hematology/Oncology, University of Nebraska Medical Center, Omaha, NE, USA.
Ravi VijDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Matthew J PiankoDivision of Hematology/Oncology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
Ajay MajorDivision of Hematology, Department of Medicine, University of Colorado School of Medicine, Denver, CO, USA.
Mark A FialaDepartment of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-0208-5023

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
WASHINGTON UNIVERSITY COMPARATIVE EFFECTIVENESS ADMINISTRATIVE DATA REPOSITORYR24HS019455 · AHRQ · WASHINGTON UNIVERSITY · PI FRASER, VICTORIA J. · 2010 to 2010
$969k
AHRQ HHS R24 HS019455NCATS NIH HHS UL1 TR002345NCCDPHP CDC HHS NU58DP006344NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INIA NIH HHS P30 AG024824
6 · The paper itself

Abstract

Multiple myeloma (MM) is a cancer of older adults and those who are more frail are at high risk of poor outcomes. Current tools for identifying and categorizing frail patients are often static and measured only at the time of diagnosis. The concept of dynamic frailty (i.e. frailty changing over time) is largely unexplored in MM. In our study, adults with newly-diagnosed MM who received novel drugs between the years 2007-2014 were identified in the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked databases. Using a previously published cumulative deficit approach, a frailty index score was calculated at diagnosis and each landmark interval (1-yr, 2-yr, 3-yr post diagnosis). The association of frailty with overall survival (OS) both at baseline and at each landmark interval as well as factors associated with worsening frailty status over time were evaluated. Overall, 4617 patients were included. At baseline, 39% of the patients were categorized as moderately frail or severely frail. Among those who had 3 years of follow-up, frailty categorization changed post diagnosis in 93% of the cohort (78% improved and 72% deteriorated at least at one time point during the follow up period). In a landmark analysis, the predictive ability of frailty at the time of diagnosis decreased over time for OS (Harrell's C Statistic 0.65 at diagnosis, 0.63 at 1-yr, 0.62 at 2-yr, and 0.60 at 3-yr) and was inferior compared to current frailty status at each landmark interval. Our study is one of the first to demonstrate the dynamic nature of frailty among older adults with MM. Frailty may improve or deteriorate over time. Current frailty status is a better predictor of outcomes than frailty status at time of diagnosis, indicating the need for re-measurement in this high-risk patient population.

Indexed as

FrailtyMultiple MyelomaAgedCohort StudiesFrail ElderlyGeriatric AssessmentHumansMedicareRisk AssessmentUnited States

Identifiers

PMID37164972
PMCPMC10172354

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.