Evidence map›Paper›PMID 38686569›Full record

ArticleCancer medicine2024

Impact of hyperuricemia and chronic kidney disease on the prevalence and mortality of cardiovascular disease in cancer survivors.

Yanlin Chen, Yuhan Chen, Weidong Lin, Lu Fu, Huiyi Liu, Sijia Pu, Haowei Chen, Hong Yi, Yumei Xue

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

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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

3 citing papers in PubMed, 6 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

9 authors at 3 institutions in 1 country.

Yanlin ChenDepartment of Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID 0000-0003-3597-3868
Yuhan ChenDepartment of Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Weidong LinDepartment of Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Lu FuDepartment of Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Huiyi LiuDepartment of Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Sijia PuSchool of Medicine, South China University of Technology, Guangzhou, China.
Haowei ChenThe Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Hong YiDepartment of Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yumei XueDepartment of Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Guangdong Academy of Medical Sciences · CNSouth China University of Technology · CNSouthern Medical University · CN

Funding

The Science and Technology Programs of Guangdong Province 2020B1111170011The Science and Technology Programs of Guangdong Province 2023B110009
6 · The paper itself

Abstract

backgroundThe risks of cardiovascular disease (CVD) and CVD mortality are prevalent among cancer survivors (CS) population. The 2022 ESC Guidelines on cardio-oncology have recommended that modifying cardiovascular risk factors (CVRF) could potentially improve long-term outcomes in CS.

objectivesTo identify the independent and joint chronic kidney disease (CKD) associations of hyperuricemia with the incidence of CVD and mortality outcomes among CS.

methodsUtilizing data from the US National Health and Nutrition Examination Survey spanning 2005-2018, we assessed the risk of CVD through weighted multivariable logistic regression and restricted cubic spline (RCS) regression. Additionally, all-cause and CVD-related mortality were evaluated using weighted multivariable Cox regression and Kaplan-Meier analysis. Subgroup analysis was conducted to further elucidate the interplay between hyperuricemia, CKD, and mortality within the CS population.

resultsA total of 3276 CS participants were enrolled in this study. Results showed that hyperuricemia was positively related to the incidence of CVD (OR [95% CI] = 1.86 [1.24, 2.81], p = 0.004). RCS analysis further demonstrated that uric acid levels ≥345 μmol/L positively correlated with CVD incidence (p value for nonlinearity = 0.0013). However, the association between hyperuricemia and CVD mortality, as well as all-cause mortality did not reach statistical significance in the fully adjusted model (HR = 1.48, 95% CI: 0.92-2.39, p = 0.11; HR = 1.11, 95% CI:0.92, 1.34, p = 0.28, respectively). Among CS participants with CKD, hyperuricemia could increase risks of all-cause (HR [95% CI] = 1.39 [1.08, 1.11], p = 0.02) and CVD mortality (HR [95% CI] =2.17 [1.29, 3.66], p = 0.004) after adjusting for sex, age, and ethnicity.

conclusionsIn the CS population, hyperuricemia was positively associated with the incidence of CVD. In addition, CKD might be an intermediate variable among the CS population that mediated the effects of hyperuricemia on mortality.

Indexed as

Cancer SurvivorsCardiovascular DiseasesHyperuricemiaNutrition SurveysRenal Insufficiency, ChronicAdultAgedFemaleHumansIncidenceMaleMiddle AgedNeoplasmsPrevalenceRisk FactorsUnited StatesUric Acidcancer survivorscardiovascular diseaseshyperuricemiamortalitysoluble uric acid

Identifiers

PMID38686569
PMCPMC11058684
OpenAlexW4396495254

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LicenceCC BY
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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.