Evidence mapPaperPMID 35321352Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

Metabolic Syndrome Components and Chronic Kidney Disease in a Community Population Aged 40 Years and Older in Southern China: A Cross-Sectional Study.

Hua Xiao, Xiaofei Shao, Peichun Gao, Hequn Zou, Xinzhou Zhang

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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Global health inequalities of chronic kidney disease: a meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Pooled it
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  9. Blood-Brain Barrier Biomarkers before and after Kidney Transplantation.International journal of molecular sciences · 2023
    Article
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

5 authors.

Hua XiaoDepartment of Nephrology, Shenzhen People's Hospital (The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology), Shenzhen, 518020, People's Republic of China.
Xiaofei ShaoDepartment of Nephrology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, People's Republic of China.
Peichun GaoZhujiang Hospital of Southern Medical University, Guangzhou, 510282, People's Republic of China.
Hequn ZouDepartment of Nephrology, South China Hospital, Health Science Center, Shenzhen University, Shenzhen, 518116, People's Republic of China.
Xinzhou ZhangDepartment of Nephrology, Shenzhen People's Hospital (The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology), Shenzhen, 518020, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the correlation between metabolic syndrome components and chronic kidney disease (CKD) among a community population aged 40 years and older in Southern China. Patients and Methods: From December 2017 to March 2018, 1969 participants (male n = 715, female n = 1254) aged 40 years and older were recruited in Southern China for a cross-sectional survey. A logistic regression model was established to analyze the correlation between metabolic syndrome components and CKD. Results: Among the 1969 subjects, 407 (20.7%) were CKD patients, including 152 males (prevalence rate 21.3%) and 255 females (prevalence rate 20.3%). Anthropometric data (waist circumference, age, systolic and diastolic blood pressure), serum/plasma data (serum creatinine, serum uric acid, fasting plasma glucose, C-reactive protein, serum triglyceride), urinary and other findings (body mass index, waist-to-hip and waist-to-height ratios, urinary albumin to creatinine ratio, homeostasis model assessment of insulin resistance) were significantly higher in patients with than without CKD (P < 0.05). Metabolic syndrome and at least some of its components were statistically significant risk factors for CKD in models with and without adjustment for diabetes, obesity and hypertension. Conclusion: Metabolic syndrome and its single or combined components are independently associated with CKD in community populations aged 40 years and older. The correlation between some components and CKD remained significant in both non-diabetic and non-obese subjects. Correlations between components of metabolic syndrome and CKD show that it is feasible and necessary to carry out targeted screening and intervention tests in people aged 40 and over.

Indexed as

chronic kidney diseaseepidemiological cross-sectional studymetabolic syndromerisk factors

Identifiers

PMID35321352
PMCPMC8935083

What Socratic holds

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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 Socratic graph.