Evidence map›Paper›PMID 38968306›Full record

ArticlePloS one2024

Association of poverty-income ratio with cardiovascular disease and mortality in cancer survivors in the United States.

Vidhushei Yogeswaran, Youngdeok Kim, R Lee Franco, Alexander R Lucas, Arnethea L Sutton, Jessica G LaRose, Jonathan Kenyon, Ralph B D'Agostino, Vanessa B Sheppard, Kerryn Reding and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

12 authors.

Vidhushei YogeswaranDivision of Cardiology, University of Washington Medical Center, Seattle, WA, United States of America.
Youngdeok KimDepartment of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, VA, United States of America.ORCID 0000-0002-6134-0100
R Lee FrancoDepartment of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, VA, United States of America.
Alexander R LucasDepartment of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Arnethea L SuttonDepartment of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, VA, United States of America.
Jessica G LaRoseDepartment of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Jonathan KenyonDepartment of Kinesiology and Health Sciences, Virginia Commonwealth University, Richmond, VA, United States of America.
Ralph B D'AgostinoDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States of America.
Vanessa B SheppardDepartment of Health Behavior and Policy, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Kerryn RedingDepartment of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, Washington, United States of America.
W Gregory HundleyPauley Heart Center, Virginia Commonwealth University, Richmond, VA, United States of America.
Richard K ChengDivision of Cardiology, University of Washington Medical Center, Seattle, WA, United States of America.ORCID 0000-0001-5994-5998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower income is associated with high incident cardiovascular disease (CVD) and mortality. CVD is an important cause of morbidity and mortality in cancer survivors. However, there is limited research on the association between income, CVD, and mortality in this population.

methodsThis study utilized nationally representative data from the National Health and Nutrition Examination Survey (NHANES), a cross-sectional survey evaluating the health and nutritional status of the US population. Our study included NHANES participants aged ≥20 years from 2003-2014, who self-reported a history of cancer. We evaluated the association between income level, prevalence of CVD, and all-cause mortality. All-cause mortality data was obtained through public use mortality files. Income level was assessed by poverty-income ratio (PIR) that was calculated by dividing family (or individual) income by poverty guideline. We used multivariable-adjusted Cox proportional hazard models through a backward elimination method to evaluate associations between PIR, CVD, and all-cause mortality in cancer survivors.

resultsThis cohort included 2,464 cancer survivors with a mean age of 62 (42% male) years. Compared with individuals with a higher PIR tertiles, those in the lowest PIR tertile had a higher rate of pre-existing CVD and post-acquired CVD. In participants with post-acquired CVD, the lowest PIR tertile had over two-fold increased risk mortality (Hazard Ratio (HR) = 2.17; 95% CI: 1.27-3.71) when compared to the highest PIR tertile. Additionally, we found that PIR was as strong a predictor of mortality in cancer survivors as CVD. In patients with no CVD, the lowest PIR tertile continued to have almost a two-fold increased risk of mortality (HR = 1.72; 95% CI: 1.69-4.35) when compared to a reference of the highest PIR tertile.

conclusionsIn this large national study of cancer survivors, low PIR is associated with a higher prevalence of CVD. Low PIR is also associated with an increased risk of mortality in cancer survivors, showing a comparable impact to that of pre-existing and post-acquired CVD. Urgent public health resources are needed to further study and improve screening and access to care in this high-risk population.

Indexed as

Cancer SurvivorsCardiovascular DiseasesIncomeNutrition SurveysPovertyAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeoplasmsPrevalenceProportional Hazards ModelsUnited States

Identifiers

PMID38968306
PMCPMC11226125

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Registered trials

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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.