Evidence map›Paper›PMID 33964981›Full record

ArticleCardio-oncology (London, England)2021

Both intermuscular fat and LVEF decline promote heart failure symptoms in cancer survivors.

Kerryn W Reding, Nathaniel S O'Connell, Ralph B D'Agostino, William Hundley, Alexander R Lucas, Amy C Ladd, Jennifer H Jordan, Emily M Heiston, Yaorong Ge, W Gregory Hundley

Open access · goldAbstract read
In one paragraph

Article in Cardio-oncology (London, England), 2021. 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, top 90% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Muscle quality during cancer treatment and associations with health-related quality of life.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Trial
  2. Article
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

10 authors at 5 institutions in 2 countries.

Kerryn W RedingBiobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, USA.
Nathaniel S O'ConnellDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, USA.
Ralph B D'AgostinoDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, USA.
William HundleyVirginia Military Institute, Lexington, USA.
Alexander R LucasDivision of Cardiology, VCU Pauley Heart Center, Virginia Commonwealth University, Box 980036, Richmond, VA, 23298, USA.
Amy C LaddDivision of Cardiology, VCU Pauley Heart Center, Virginia Commonwealth University, Box 980036, Richmond, VA, 23298, USA.
Jennifer H JordanDivision of Cardiology, VCU Pauley Heart Center, Virginia Commonwealth University, Box 980036, Richmond, VA, 23298, USA.
Emily M HeistonDivision of Cardiology, VCU Pauley Heart Center, Virginia Commonwealth University, Box 980036, Richmond, VA, 23298, USA.
Yaorong GeCollege of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA.
W Gregory HundleyDivision of Cardiology, VCU Pauley Heart Center, Virginia Commonwealth University, Box 980036, Richmond, VA, 23298, USA. greg.hundley@vcuhealth.org.
Virginia Commonwealth University · USVirginia Military Institute · USWake Forest University · USSeattle University · USUniversity of North Carolina at Charlotte · US

Funding

Preventing Anthracycline Cardiovascular Toxicity with StatinsR01HL118740 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUNDLEY, WILLIAM GREGORY · 2013 to 2018
$4.2M
Understanding and Predicting Fatigue, CV Decline & Events After Breast CA TreatmentR01CA199167 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUNDLEY, WILLIAM GREGORY · 2015 to 2022
$3.2M
Early Imaging Detection of CV Injury after CancerR01CA167821 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUNDLEY, WILLIAM GREGORY, JOLLY, MARIE-PIERRE · 2012 to 2016
$2.5M
National Heart, Lung, and Blood Institute (US) R01HL118740NCI NIH HHS R01CA167821NCI NIH HHS R01CA199167
6 · The paper itself

Abstract

backgroundApproximately 20% of cancer survivors treated with chemotherapy experience worsening heart failure (HF) symptoms post-cancer treatment. While research has predominantly investigated the role of cardiotoxic treatments, much less attention has focused on other risk factors, such as adiposity. However, emerging data in cancer survivors indicates that adiposity may also impact a variety of cardiovascular outcomes.

methodsIn a prospective study of 62 patients diagnosed with cancer followed for 24 months from cancer diagnosis through to survivorship (post-cancer treatment), we ascertained baseline fat depots including intermuscular fat (IMF) of the erector spinae muscles; and pre- and post-cancer treatment left ventricular ejection fraction (LVEF) and HF symptoms at baseline and 24-months, respectively. Linear regression was used to model independent variables in relation to HF symptoms at 24-months.

resultsBaseline IMF and LVEF change over 24-months significantly interacted to predict HF score at 24-months. The highest HF symptom score was observed for participants who experienced high IMF at baseline and a high decline in LVEF over 24-months (HF score = 11.0) versus all other categories of baseline IMF and LVEF change.

conclusionsTogether IMF and LVEF decline may play an important role in the worsening of HF symptoms in cancer survivors. The finding that IMF at cancer diagnosis led to elevated HF scores post-treatment suggests that IMF may be a potential target for intervention studies.

Indexed as

Cardio-oncologyHeart failureIntramuscular fatObesity

Identifiers

PMID33964981
PMCPMC8105949
OpenAlexW3162892462

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.