Evidence map›Paper›PMID 24663403›Full record

ArticlePloS one2014

Hypertriglyceridemic waist phenotype and chronic kidney disease in a Chinese population aged 40 years and older.

Yongqiang Li, Chaomin Zhou, Xiaofei Shao, Xinyu Liu, Jia Guo, Ying Zhang, Honglei Wang, Xiaohong Wang, Bin Li, Kangping Deng and 3 more

Abstract 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 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  9. [Association of metabolic syndrome with chronic kidney disease in premenopausal and postmenopausal women].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2019
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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.

Yongqiang LiDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Chaomin ZhouDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Xiaofei ShaoDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Xinyu LiuDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Jia GuoDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Ying ZhangDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Honglei WangDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Xiaohong WangDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Bin LiDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Kangping DengDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Qin LiuDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Harry HolthöferNational Centre for Sensor Research/BioAnalytical Sciences, Dublin City University, Dublin, Ireland.
Hequn ZouDepartment of Nephrology, Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the relationship between the HW phenotype and risk for CKD in a community population aged 40 years and older.

methodsA cross-sectional study was conducted in Zhuhai from June to October 2012. The participants were divided into three groups: Group 1, Waist circumference >90 cm in men or >85 cm in women and triglycerides ≥2 mmol/l; Group 3, Waist circumference ≤90 cm in men or ≤85 cm in women and triglycerides <2 mmol/l; Group 2, The remaining participants. The prevalence of the three subgroups and CKD were determined. The association between HW phenotype and CKD was then analyzed using SPSS (version 13.0).

resultsAfter adjusting for age and sex, Group 1 was associated with CKD (OR 3.08, 95% CI 2.01, 4.73, P<0.001), when compared with Group 3. Further adjustment for factors which were potential confounders and unlikely to be in the causal pathway between the HW phenotype and CKD, Group 1 was still significantly associated with CKD. The OR for CKD was 2.65 (95% CI 1.65, 4.26, P<0.001). When adjusted for diabetes and hypertension, the association of Group 1 and CKD was still significant (OR 2.09, 95% CI 1.26, 3.45, P = 0.004). Group 2 was associated with CKD (OR 1.81, 95% CI 1.29, 2.53, P = 0.001), when compared with Group 3. Further adjustment for factors which were potential confounders, Group 2 was still significantly associated with CKD. The OR for CKD was 1.75 (95% CI 1.22, 2.51, P = 0.002). When adjusted for diabetes and hypertension, the association between Group 2 and CKD still existed. The OR for CKD was 1.48 (95% CI 1.01, 2.16, P = 0.046).

conclusionOur results showed that HW phenotype was associated with CKD in the population aged 40 years and older.

Indexed as

PhenotypeAdultChinaCross-Sectional StudiesFemaleHumansHypertriglyceridemic WaistMaleMiddle AgedPrevalenceRenal Insufficiency, ChronicResidence Characteristics

Identifiers

PMID24663403
PMCPMC3963886

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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.