Evidence map›Paper›PMID 24465883›Full record

ArticlePloS one2014

Association between kidney function and Framingham global cardiovascular disease risk score: a Chinese longitudinal study.

Bo Jin, Xiaojuan Bai, Lulu Han, Jing Liu, Weiguang Zhang, Xiangmei Chen

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. A lower eGFRRenal failure · 2024
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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

6 authors at 3 institutions in 1 country.

Bo JinDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Xiaojuan BaiDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Lulu HanDepartment of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, China.
Jing LiuDepartment of Circulation, Asia Heart Hospital, Wuhan, China.
Weiguang ZhangDepartment of Kidney, General Hospital of Chinese People's Liberation Army, Beijing, China.
Xiangmei ChenDepartment of Kidney, General Hospital of Chinese People's Liberation Army, Beijing, China.
China Medical University · CNChinese People's Liberation Army · CNWuhan Asia Heart Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

AdultAgedCardiovascular DiseasesChinaFemaleGlomerular Filtration RateHumansLongitudinal StudiesMaleMiddle AgedRenal Insufficiency, ChronicRisk Factors

Identifiers

PMID24465883
PMCPMC3896450
OpenAlexW1985757527

What OpenQuestion holds

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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.