Evidence map›Paper›PMID 35773041›Full record

ArticleThe American journal of cardiology2022

Cardiovascular Health Among Cancer Survivors. From the 2019 Behavioral Risk Factor Surveillance System Survey.

Steven S Coughlin, Biplab Datta, Avirup Guha, Xiaoling Wang, Neal L Weintraub

Open access · greenAbstract read
In one paragraph

Article in The American journal of cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Steven S CoughlinDepartment of Population Health Sciences, Augusta University, Augusta, Georgia; Institute of Public and Preventive Health, Augusta University, Augusta, Georgia. Electronic address: scoughlin@augusta.edu.
Biplab DattaDepartment of Population Health Sciences, Augusta University, Augusta, Georgia; Institute of Public and Preventive Health, Augusta University, Augusta, Georgia.
Avirup GuhaHarrington Heart and Vascular Institute, Case Western Reserve University, Cleveland, Ohio; Division of Cardiology, Department of Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia.
Xiaoling WangGeorgia Prevention Institute, Medical College of Georgia, Augusta University, Augusta, Georgia.
Neal L WeintraubDivision of Cardiology, Department of Medicine, Medical College of Georgia, Augusta University, Augusta, Georgia.
Augusta University · USAugusta University Health · US

Funding

Innovative Approaches to Treat Duchenne Muscular Dystrophy Using iPSC-Derived Muscle ProgenitorsR01AR070029 · NIAMS · AUGUSTA UNIVERSITY · PI ASHRAF, MUHAMMAD, TANG, YAO LIANG · 2016 to 2021
$2.6M
Notch1/miR-322 Axis in Stem Cell Mediated Vascular RepairR01HL134354 · NHLBI · AUGUSTA UNIVERSITY · PI ASHRAF, MUHAMMAD, TANG, YAO LIANG · 2016 to 2020
$2.5M
Mechanisms of myeloperoxidase and Nox4 interactions in abdominal aortic aneurysmR01HL142097 · NHLBI · AUGUSTA UNIVERSITY · PI WEINTRAUB, NEAL L · 2018 to 2021
$2.1M
Epigenetic regulation of HDAC9 in obesity and atherosclerosisR01HL126949 · NHLBI · AUGUSTA UNIVERSITY · PI WEINTRAUB, NEAL L · 2016 to 2019
$1.8M
HDAC9, Aging and Alzheimer's DiseaseR56AG064895 · NIA · AUGUSTA UNIVERSITY · PI LU, XIN-YUN, WEINTRAUB, NEAL L · 2019 to 2020
$1.5M
NHLBI NIH HHS R01 HL126949NHLBI NIH HHS R01 HL134354NHLBI NIH HHS R01 HL142097NIAMS NIH HHS R01 AR070029NIA NIH HHS R56 AG064895
6 · The paper itself

Abstract

With increasing prevalence, there is a growing population living with cardiovascular (CV) disease and cancer who are concurrently or at risk for developing these 2 disease states. We examined CV conditions and CV risk factors in cancer survivors in a cross-sectional analysis, using data from the 2019 Behavioral Risk Factor Surveillance System. Cancer survivors are more likely than participants without a cancer history to have multiple risk factors that increase their risk for CV disease and other chronic illnesses, including cigarette smoking, physical inactivity, and obesity. In contrast, cancer survivors are less likely to be heavy drinkers or to not consume fruits and vegetables. The odds of having a heart attack, coronary heart disease (CHD), diabetes, and hypertension were generally higher among cancer survivors. In multivariable analysis, the adjusted odds of having a heart attack, CHD, diabetes, hypertension, or high cholesterol were higher among cancer survivors than among participants without a history of cancer. Although the odds of obesity and physical inactivity were generally higher among cancer survivors across all socioeconomic status groups, the odds of having a heart attack or CHD were particularly high among Black and Hispanic cancer survivors and among younger participants. The odds of having diabetes were also higher among Black and Hispanic cancer survivors. In conclusion, cancer survivors are more likely than participants without a cancer history to have multiple risk factors that increase their risk of CV disease and other chronic illnesses, and they have a higher prevalence of heart attack, CHD, diabetes, and hypertension. Of particular concern are the higher prevalence of heart attack, CHD, and diabetes among Black and Hispanic cancer survivors.

Indexed as

Cancer SurvivorsCoronary DiseaseDiabetes MellitusHypertensionMyocardial InfarctionNeoplasmsBehavioral Risk Factor Surveillance SystemChronic DiseaseCross-Sectional StudiesHumansObesityPrevalenceRisk Factors

Identifiers

PMID35773041
PMCPMC10462909
OpenAlexW4283772253

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.