Evidence map›Paper›PMID 33770752›Full record

ArticleJournal of the National Comprehensive Cancer Network : JNCCN2021

Aging Phenotypes and Restoring Functional Deficits in Older Adults With Hematologic Malignancy.

Ashley E Rosko, Sarah Wall, Robert Baiocchi, Don M Benson, Jonathan E Brammer, John C Byrd, Yvonne A Efebera, Kami Maddocks, Kerry A Rogers, Desiree Jones and 6 more

Open access · greenAbstract read
In one paragraph

Article in Journal of the National Comprehensive Cancer Network : JNCCN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 14% of its field
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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  11. Determining the relationship of p16Journal of cancer survivorship : research and practice · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 1 institution in 1 country.

Ashley E Rosko1Division of Hematology.
Sarah Wall1Division of Hematology.
Robert Baiocchi1Division of Hematology.
Don M Benson1Division of Hematology.
Jonathan E Brammer1Division of Hematology.
John C Byrd1Division of Hematology.
Yvonne A Efebera1Division of Hematology.
Kami Maddocks1Division of Hematology.
Kerry A Rogers1Division of Hematology.
Desiree Jones1Division of Hematology.
Lara Sucheston-Campbell2College of Pharmacy.
Hancong Tang2College of Pharmacy.
Hatice Gulcin Ozer3Department of Biomedical Informatics.
Ying Huang1Division of Hematology.
Christin E Burd4Department of Molecular Genetics, Cancer Biology and Genetics, and.
Michelle J Naughton5Cancer Prevention and Control, The Ohio State University, Columbus, Ohio.
Cancer Genetics (United States) · US

Funding

Collaborations and NCORP Collective ManagementUG1CA189823 · NCI · MAYO CLINIC ROCHESTER · PI Evanthia Galanis, Olwen Hahn · 2014 to 2026
$120.6M
OSU as a Network Lead Academic Participating Site for the NCI NCTNUG1CA233331 · NCI · OHIO STATE UNIVERSITY · PI John L. Hays, Dwight H. Owen · 2019 to 2026
$8.9M
Exercise and Biologic Fitness in Patients with Hematologic MalignancyK23CA208010 · NCI · OHIO STATE UNIVERSITY · PI ROSKO, ASHLEY E. · 2016 to 2020
$859k
NCI NIH HHS K23 CA208010NCI NIH HHS UG1 CA189823NCI NIH HHS UG1 CA233331
6 · The paper itself

Abstract

backgroundGauging fitness remains a challenge among older adults with hematologic malignancies, and interventions to restore function are lacking. We pilot a structured exercise intervention and novel biologic correlates of aging using epigenetic clocks and markers of immunosenescence to evaluate changes in function and clinical outcomes.

methodsOlder adults (n=30) with hematologic malignancy actively receiving treatment were screened and enrolled in a 6-month exercise intervention, the Otago Exercise Programme (OEP). The impact of the OEP on geriatric assessment metrics and health-related quality of life were captured. Clinical outcomes of overall survival and hospital utilization (inpatient length of stay and emergency department use) in relationship to geriatric deficits were analyzed.

resultsOlder adults (median age, 75.5 years [range, 62-83 years]) actively receiving treatment were enrolled in the OEP. Instrumental activities of daily living and physical health scores (PHS) increased significantly with the OEP intervention (median PHS: visit 1, 55 [range, 0-100]; visit 2, 70 [range, 30-100]; P<.01). Patient-reported Karnofsky performance status increased significantly, and the improvement was sustained (median [range]: visit 1, 80 [40-100]; visit 3, 90 [50-100]; P=.05). Quality of life (Patient-Reported Outcome Measurement Information System [PROMIS]) improved significantly by the end of the 6-month period (median [range]: visit 1, 32.4 [19.9-47.7]; visit 3, 36.2 [19.9-47.7]; P=.01]. Enhanced measures of gait speed and balance, using the Short Physical Performance Battery scores, were associated with a 20% decrease in risk of death (hazard ratio, 0.80; 95% CI, 0.65-0.97; P=.03) and a shorter hospital length of stay (decrease of 1.29 days; 95% CI, -2.46 to -0.13; P=.03). Peripheral blood immunosenescent markers were analyzed in relationship to clinical frailty and reports of mPhenoAge epigenetic analysis are preliminarily reported. Chronologic age had no relationship to overall survival, length of stay, or emergency department utilization.

conclusionsThe OEP was effective in improving quality of life, and geriatric tools predicted survival and hospital utilization among older adults with hematologic malignancies.

Indexed as

Activities of Daily LivingHematologic NeoplasmsAgedAgingGeriatric AssessmentHumansPhenotypeQuality of Life

Identifiers

PMID33770752
PMCPMC8600896
OpenAlexW3136286479

What OpenQuestion 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 OpenQuestion graph.