Evidence map›Paper›PMID 31970671›Full record

ArticleAging clinical and experimental research2020

Patient-reported measures of well-being in older multiple myeloma patients: use of secondary data source.

Irena Cenzer, Karin Berger, Annette M Rodriguez, Helmut Ostermann, Kenneth E Covinsky

Abstract read
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Article in Aging clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Irena CenzerDivision of Geriatrics, University of California, San Francisco, 4150 Clement St., San Francisco, CA, 94121, USA. irena.cenzer@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-5839-1070
Karin BergerDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Annette M RodriguezDivision of Geriatrics, University of California, San Francisco, 4150 Clement St., San Francisco, CA, 94121, USA.
Helmut OstermannDepartment of Medicine III, University Hospital, LMU Munich, Munich, Germany.
Kenneth E CovinskyDivision of Geriatrics, University of California, San Francisco, 4150 Clement St., San Francisco, CA, 94121, USA.

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

backgroundChanges in well-being of patients with multiple myeloma (MM) before and after diagnosis have not been quantified.

aimsExplore the use of secondary data to examine the changes in the well-being of older patients with MM.

methodsWe used the Health and Retirement Study (HRS), linked to Medicare claims to identify older MM patients. We compared patient-reported measures (PRM), including physical impairment, sensory impairment, and patient experience (significant pain, self-rated health, depression) in the interviews before and after MM diagnosis using McNemar's test. We propensity-matched each MM patient to five HRS participants without MM diagnosis based on baseline characteristics. We compared the change in PRM between the MM patients and their matches.

resultsWe identified 92 HRS patients with MM diagnosis (mean age = 74.6, SD = 8.4). Among the surviving patients, there was a decline in well-being across most measures, including ADL difficulty (23% to 40%, p value = 0.016), poor or fair self-rated health (38% to 61%, p value = 0.004), and depression (15% to 30%, p value = 0.021). Surviving patients reported worse health than participants without MM across most measures, including ADL difficulty (40% vs. 27%, p value = 0.04), significant pain (38% vs. 22%, p value = 0.01), and depression (29% vs. 11%, p value = 0.003). DISCUSSION: Secondary data were used to identify patients with MM diagnosis, and examine changes across multiple measures of well-being. MM diagnosis negatively affects several aspects of patients' well-being, and these declines are larger than those experienced by similar participants without MM.

conclusionThe results of this study are valuable addition to understanding the experience of patients with MM, despite several data limitations.

Indexed as

Multiple MyelomaActivities of Daily LivingAgedAged, 80 and overCancer PainDepressionFemaleHumansInformation Storage and RetrievalMalePatient Reported Outcome MeasuresGeriatric assessmentMultiple myelomaPatient-reported measuresRare diseasesSecondary data use

Identifiers

PMID31970671
PMCPMC7260254

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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.