ArticlePloS one2014
Association between kidney function and Framingham global cardiovascular disease risk score: a Chinese longitudinal study.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- A lower eGFRRenal failure · 2024Article
- Endothelial function, arterial stiffness and Framingham risk score in chronic kidney disease: A prospective observational cohort study.Hypertension research : official journal of the Japanese Society of Hypertension · 2023Observational
- Frequent Eating Out and 10-Year Cardiovascular Disease Risk: Evidence from a Community Observatory in Malaysia.BioMed research international · 2022Article
- Corrected Serum Ionized Calcium as a Risk Factor Related to Adult Dyslipidemia.Frontiers in cardiovascular medicine · 2022Article
- The Risk for Incident Ischemic Heart Disease According to Estimated Glomerular Filtration Rate in A Korean Population.Journal of atherosclerosis and thrombosis · 2020Observational
- Estimated glomerular filtration rate and albuminuria in Korean population evaluated for cardiovascular risk.International urology and nephrology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic kidney disease (CKD) is generally considered an independent risk factor for cardiovascular disease (CVD) development, but rates in individuals with estimated glomerular filtration rate (eGFR) >60 ml/min/1.73 m(2) are uncertain. The Framingham global CVD risk score (FRS) equation is a widely accepted tool used to predict CVD risk in the general population. The purpose of the present study was to examine whether an association exists between eGFR and FRS in a Chinese population with no CKD or CVD.
methodsA total of 333 participants were divided into three groups based on FRS. The Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation and CKD-EPI equation for Asians (CKD-EPI-ASIA) were used to measure eGFR.
resultsA significant inverse association between eGFR and FRS was confirmed with Pearson correlation coefficients of -0.669, -0.698 (eGFR(CKD-EPI), P<0.01) and -0.658, -0.690 (eGFR(CKD-EPI)-ASIA, P<0.01). This association gradually diminished with progression from the low- to high-risk groups (eGFR(CKD-EPI), r = -0.615, -0.282, -0.197, P<0.01, P<0.01, P>0.05; similar results according to the CKD-EPI-ASIA equation). In the low- or moderate-risk new-groups, this association became stronger with increased FRS (eGFR(CKD-EPI)-ASIA, r = -0557, -0.622 or -0.326, -0.329, P<0.01). In contrast to the results from 2008, eGFR was independently associated with FRS following adjustment for traditional cardiovascular risk factors (P<0.05).
conclusionRenal function has multiple influences on predicting CVD risk in various populations. With increasing FRS and decreasing eGFR, it is also independently associated with CVD, even in individuals with eGFR >60 ml/min/1.73 m(2).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.