Evidence map›Paper›PMID 36563433›Full record

ArticleNutrition (Burbank, Los Angeles County, Calif.)2023

Low muscle mass is associated with a higher risk of all-cause and cardiovascular disease-specific mortality in cancer survivors.

Dongyu Zhang, Kori A Spiropoulos, Akemi Wijayabahu, Demetra D Christou, Shama D Karanth, Stephen D Anton, Christiaan Leeuwenburgh, Muxuan Liang, Meghann Wheeler, Danting Yang and 8 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrition (Burbank, Los Angeles County, Calif.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

18 authors at 6 institutions in 1 country.

Dongyu ZhangDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, USA; University of Florida Health Cancer Center, Gainesville, Florida, USA. Electronic address: dzhang2@ufl.edu.
Kori A SpiropoulosDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, USA.
Akemi WijayabahuDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, USA.
Demetra D ChristouDepartment of Applied Physiology and Kinesiology, University of Florida College of Health & Human Performance, Gainesville, Florida, USA.
Shama D KaranthUniversity of Florida Health Cancer Center, Gainesville, Florida, USA; Department of Aging and Geriatric Research, University of Florida College of Medicine, Gainesville, Florida, USA.
Stephen D AntonDepartment of Aging and Geriatric Research, University of Florida College of Medicine, Gainesville, Florida, USA.
Christiaan LeeuwenburghDepartment of Aging and Geriatric Research, University of Florida College of Medicine, Gainesville, Florida, USA.
Muxuan LiangDepartment of Biostatistics, University of Florida College of Public Health and Health Professions, Gainesville, Florida, USA.
Meghann WheelerDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, USA.
Danting YangDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, USA.
Aduse-Poku LivingstoneDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, USA.
Robert T MankowskiDepartment of Aging and Geriatric Research, University of Florida College of Medicine, Gainesville, Florida, USA.
Ting-Yuan David ChengDivision of Cancer Prevention and Control, The Ohio State University College of Medicine, Columbus, Ohio, USA.
Hanchao ZhangDivision of Biostatistics, Department of Population Health, New York University School of Medicine, New York, New York, USA.
Erin M SiegelDepartment of Cancer Epidemology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, USA.
Frank J PenedoDepartment of Psychology, University of Miami, Miami, Florida, USA; Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida, USA.
Jonathan D LichtUniversity of Florida Health Cancer Center, Gainesville, Florida, USA; Division of Hematology and Oncology, University of Florida Health Cancer Center, Gainesville, Florida, USA.
Dejana BraithwaiteDepartment of Epidemiology, University of Florida College of Public Health and Health Professions, Gainesville, Florida, USA; University of Florida Health Cancer Center, Gainesville, Florida, USA; Department of Surgery, University of Florida College of Medicine, Gainesville, Florida, USA.
University of Florida · USUniversity of Florida Health · USMoffitt Cancer Center · USNew York University · USThe Ohio State University · USUniversity of Miami · US

Funding

Energy Balance, mTOR pathway signaling, and breast cancer prognosisR37CA248371 · NCI · UNIVERSITY OF FLORIDA · PI Ting-Yuan Cheng · 2021 to 2026
$4.2M
NCI NIH HHS R37 CA248371
6 · The paper itself

Abstract

objectivesIndividuals with prior cancer diagnosis are more likely to have low muscle mass (LMM) than their cancer-free counterparts. Understanding the effects of LMM on the prognosis of cancer survivors can be clinically important. The aim of this study was to investigate whether risks for all-cause and cardiovascular disease (CVD)-specific mortality differ by status of LMM in cancer survivors and a matched cohort without cancer history.

methodsWe used cohort data from the 1999-2006 and 2011-2014 National Health and Nutrition Examination Survey. Participants included 946 adults surviving for ≥1 since cancer diagnosis and a matched cohort (by age, sex, and race) without cancer history (N = 1857). LMM was defined by appendicular lean mass and body height (men <7.26 kg/m

resultsThe mean age of cancer survivors and matched cohort was 60.6 y (SD 15) and 60.2 y (SD 14.9), respectively. The median follow-up was 10.5 y for survivors and 10.9 y for matched cohort. Overall, 22.2% of cancer survivors and 19.7% of the matched cohort had LMM, respectively. In all, 321 survivors (33.9%) and 495 participants (26.7%) in the matched cohort died during follow-up. CVD-specific deaths were identified in 58 survivors (6.1%) and 122 participants in the matched cohort (6.6%). The multivariable Cox model suggested that LMM was positively associated with all-cause (aHR, 1.73; 95% CI, 1.31-2.29) and CVD-specific (aHR, 2.13; 95% CI, 1.14-4.00) mortality in cancer survivors. The associations between LMM and risk for all-cause (aHR, 1.24; 95% CI, 0.98-1.56) and CVD-specific (aHR, 1.21; 95% CI, 0.75-1.93) mortality were not statistically significant in the matched cohort.

conclusionCancer survivors with LMM have an increased risk for all-cause and CVD-specific mortality. This increase appears to be larger than that in counterparts without cancer history.

Indexed as

Cancer SurvivorsCardiovascular DiseasesNeoplasmsAdultFemaleHumansMaleMusclesNutrition SurveysPrognosisRisk FactorsCancer survivorshipEpidemiologyGeriatric oncologyLow muscle massNutrition

Identifiers

PMID36563433
PMCPMC10753936
OpenAlexW4310975076

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.