Evidence map›Paper›PMID 30169509›Full record

ArticlePloS one2018

Relationship between the exposure to cumulative cardiovascular health behaviors and factors and chronic kidney disease-The Kailuan study.

Jinhong Hou, Junjuan Li, Jinjie Huang, Chunhong Lu, Jing Zhou, Yang Liu, Shouling Wu, Fang Wei, Lihua Wang, Haiyan Chen and 3 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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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

13 authors.

Jinhong HouKidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China.
Junjuan LiDepartment of Nephrology, Kailuan General Hospital, Tangshan, China.
Jinjie HuangDepartment of Nephrology, Kailuan General Hospital, Tangshan, China.
Chunhong LuDepartment of Nephrology, Kailuan General Hospital, Tangshan, China.
Jing ZhouDepartment of Nephrology, Kailuan General Hospital, Tangshan, China.
Yang LiuDepartment of Nephrology, Kailuan General Hospital, Tangshan, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, China.ORCID 0000-0001-7095-6022
Fang WeiKidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China.
Lihua WangKidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China.
Haiyan ChenKidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China.
Haibo YuKidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China.
Zhe WangKidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China.
Aili JiangKidney disease and blood purification department, The Second Hospital of Tianjin medical university, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is unclear whether ideal cardiovascular health (CVH) behaviors and factors, particularly cumulative exposure to ideal CVH (cumCVH), is associated with chronic kidney disease (CKD). The aim of the study was to examine the effect of cumCVH on CKD using the data from the Kailuan study. The study included the 27,970 (21,199 males) of the Kailuan community (China). The participants were 19 to 98 years of age. They were followed in 2008-2009, 2010-2011, and 2012-2013 by the same medical staff that did the initial physical examinations in 2006-2007. Participants were censored on the visit reporting CKD. A CVH score was created based on the seven AHA health metrics. The cumCVH score was CVH1×timev1-v2+CVH2×timev2-v3+CVH3×timev3-v4. In the fully adjusted model, compared with the lowest quintile of cumCVH, individuals in the highest quintile had a 75% lower risk of CKD (95% confidence interval (CI): 66-82%). Every additional year lived with a 1-unit increase in ideal CVH was associated with an 11% (95% CI: 9-13%) reduction in the incidence of CKD. Furthermore, when we excluded each of the six metrics from the cumCVH score in turn, the association was unaffected after the exclusion of individual risk factors. Ideal CVH is associated with a reduced incidence of CKD. Measurements of cumCVH are more likely to reflect the lifetime risk of CKD and possibly of other health outcomes.

Indexed as

Health BehaviorAdultAgedAged, 80 and overChinaCohort StudiesFemaleHumansIncidenceMaleMiddle AgedRenal Insufficiency, ChronicRisk FactorsYoung Adult

Identifiers

PMID30169509
PMCPMC6118362

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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.