Evidence map›Paper›PMID 36085276›Full record

ArticleClinical lymphoma, myeloma & leukemia2022

Longitudinal Analysis of Patient-Reported Cognitive Function in Multiple Myeloma.

Abdel Rahem S Yusuf, Hillary M Heiling, Allison M Deal, Christopher E Jensen, Nicholas J Mangieri, Kirsten A Nyrop, Eben I Lichtman, Samuel M Rubinstein, Shakira J Grant, William A Wood and 2 more

Abstract read
In one paragraph

Article in Clinical lymphoma, myeloma & leukemia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Review
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

12 authors.

Abdel Rahem S YusufNortheast Ohio Medical University, Rootstown, OH.
Hillary M HeilingLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Allison M DealLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Christopher E JensenLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Medicine, Division of Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Medicine, Division of Hematology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Nicholas J MangieriLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Kirsten A NyropLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Medicine, Division of Oncology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Eben I LichtmanLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Medicine, Division of Hematology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Samuel M RubinsteinLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Medicine, Division of Hematology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Shakira J GrantLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Medicine, Division of Hematology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
William A WoodLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Medicine, Division of Hematology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Sascha A TuchmanLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Medicine, Division of Hematology, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Zev M NakamuraLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC; Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC. Electronic address: zev_nakamura@med.unc.edu.

Funding

UNC Oncology K12K12CA120780 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WILLIAM Y. KIM · 2007 to 2026
$9.6M
UNC BIRCWH CAREER DEVELOPMENT PROGRAMK12HD001441 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BOGGESS, KIM A · 2000 to 2019
$9.3M
UNC-CH Summer Research Training in Aging for Medical StudentsT35AG038047 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JAN BUSBY-WHITEHEAD · 2010 to 2026
$1.4M
UNC Geriatric Oncology Training Grant (UNC-GO)T32CA233419 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSBY-WHITEHEAD, JAN, MUSS, HYMAN · 2019 to 2023
$729k
Functional Trajectories and Illness Experiences of Older Adults with Multiple MyelomaR03AG074030 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GRANT, SHAKIRA JEANENE · 2021 to 2022
$311k
NCI NIH HHS K12 CA120780NCI NIH HHS T32 CA233419NIA NIH HHS R03 AG074030NIA NIH HHS T35 AG038047NICHD NIH HHS K12 HD001441
6 · The paper itself

Abstract

backgroundCancer-related cognitive impairment (CRCI) has been largely unstudied in patients with multiple myeloma (MM). This study describes patient-reported cognition over time and patient factors associated with adverse cognitive outcomes in MM.

methodsParticipants enrolled in a registry in which they completed a geriatric assessment at study entry, and 3 & 6 months after entry. Cognitive function was assessed using the EORTC QLQ-C30 Cognitive Function subscale, with CRCI defined as scores < 75. Generalized estimating equation (GEE) models were used to fit longitudinal models to investigate differences by group and differences in changes over time by group, with adjustment for time since diagnosis.

resultsOne hundred and four adults with MM had mean age of 67 years and 30% identified as Black. Patient-reported CRCI was present in 18% of participants at enrollment, 21% at 3 months, and 30% at 6 months. Worse cognitive function was reported in those with impairments in physical function (P = .002), IADLs (P = .02), and performance status (P = .04), as well as in those who were prefrail/frail (P = .02) and depressed (P = .049). Greater cognitive decline over time was observed in patients without CRCI at enrollment (P < .0001) and those with lower levels of education (P = .04).

conclusionThis is one of the first studies to describe longitudinal changes in patient-reported cognition in patients with MM. Several potentially intervenable factors, including physical function impairment and depression, were associated with worse cognition at study entry, but only baseline CRCI status and education level were predictive of future decline.

Indexed as

Cognitive DysfunctionMultiple MyelomaAdultAgedCognitionGeriatric AssessmentHumansPatient Reported Outcome MeasuresCancer-related cognitive dysfunctionCancer-related cognitive impairmentCognitive reserveMultiple myelomaPatient-reported outcomes

Identifiers

PMID36085276
PMCPMC9691560

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.