ArticleCancers2021
Contemporary Analysis of Electronic Frailty Measurement in Older Adults with Multiple Myeloma Treated in the National US Veterans Affairs Healthcare System.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed, 24 citations in OpenAlex.
- More intensive therapy as more effective treatment for frail patients with multiple myeloma [corrected].Blood advances · 2023Trial
- Article
- The impact of frailty on postoperative outcomes of veterans with stage I non-small cell lung cancer.Surgery · 2026Article
- Global epidemiology and burden of multiple myeloma from 1990 to 2021 with projections to 2045 based on the global burden of disease study 2021.Discover oncology · 2026Article
- Comparison of the long-term prognostic value of different frailty instruments in older inpatients: a 5-year prospective cohort study.European journal of medical research · 2025Article
- Natural Language Processing Algorithm to Extract Multiple Myeloma Stage From Oncology Notes in the Veterans Affairs Healthcare System.JCO clinical cancer informatics · 2024Article
- Review
- Baseline correlates of frailty and its association with survival in United States veterans with acute myeloid leukemia.Leukemia & lymphoma · 2023Article
- Construct validity of the electronic Veterans Affairs Frailty Index against clinician frailty assessment.Journal of the American Geriatrics Society · 2023Article
- Assessment of an embedded primary care-derived electronic health record (EHR) frailty index (eFI) in older adults with acute myeloid leukemia.Journal of geriatric oncology · 2023Article
- Natural Language Processing-Assisted Classification Models to Confirm Monoclonal Gammopathy of Undetermined Significance and Progression in Veterans' Electronic Health Records.JCO clinical cancer informatics · 2023Article
- Dynamic frailty risk assessment among older adults with multiple myeloma: A population-based cohort study.Blood cancer journal · 2023Article
- Validation of algorithms to select patients with multiple myeloma and patients initiating myeloma treatment in the national Veterans Affairs Healthcare System.Pharmacoepidemiology and drug safety · 2023Article
- Frail Multiple Myeloma Patients Deserve More Than Just a Score.Hematology reports · 2023Article
- Sentiment analysis of medical record notes for lung cancer patients at the Department of Veterans Affairs.PloS one · 2023Article
- Identifying Frail Patients by Using Electronic Health Records in Primary Care: Current Status and Future Directions.Frontiers in public health · 2022Review
- Geriatric Oncology: From Research to Clinical Practice.Cancers · 2021Article
Corrections and comments
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Authors and funding
15 authors at 8 institutions in 1 country.
Funding
Abstract
Electronic frailty indices based on data from administrative claims and electronic health records can be used to estimate frailty in large populations of older adults with cancer where direct frailty measures are lacking. The objective of this study was to use the electronic Veterans Affairs Frailty Index (VA-FI-10)-developed and validated to measure frailty in the national United States (US) VA Healthcare System-to estimate the prevalence and impact of frailty in older US veterans newly treated for multiple myeloma (MM) with contemporary therapies. We designed a retrospective cohort study of 4924 transplant-ineligible veterans aged ≥ 65 years initiating MM therapy within VA from 2004 to 2017. Initial MM therapy was measured using inpatient and outpatient treatment codes from pharmacy data in the VA Corporate Data Warehouse. In total, 3477 veterans (70.6%) were classified as frail (VA-FI-10 > 0.2), with 1510 (30.7%) mildly frail (VA-FI-10 > 0.2-0.3), 1105 (22.4%) moderately frail (VA-FI-10 > 0.3-0.4), and 862 (17.5%) severely frail (VA-FI-10 > 0.4). Survival and time to hospitalization decreased with increasing VA-FI-10 severity (log-rank
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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.