Evidence map›Paper›PMID 37962825›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2024

Clusters of Body Fat and Nutritional Parameters are Strongly Associated with Diabetic Kidney Disease in Adults with Type 2 Diabetes.

Aiqin He, Caifeng Shi, Xiaomei Wu, Yuting Sheng, Xueting Zhu, Junwei Yang, Yang Zhou

Open access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 1 institution in 1 country.

Aiqin He *Center for Kidney Disease, The Second Affiliated Hospital of Nanjing Medical University, 262 N Zhongshan Road, Nanjing, 210003, Jiangsu, China.
Caifeng Shi *Center for Kidney Disease, The Second Affiliated Hospital of Nanjing Medical University, 262 N Zhongshan Road, Nanjing, 210003, Jiangsu, China.
Xiaomei Wu *Center for Kidney Disease, The Second Affiliated Hospital of Nanjing Medical University, 262 N Zhongshan Road, Nanjing, 210003, Jiangsu, China.
Yuting ShengCenter for Kidney Disease, The Second Affiliated Hospital of Nanjing Medical University, 262 N Zhongshan Road, Nanjing, 210003, Jiangsu, China.
Xueting ZhuCenter for Kidney Disease, The Second Affiliated Hospital of Nanjing Medical University, 262 N Zhongshan Road, Nanjing, 210003, Jiangsu, China.
Junwei YangCenter for Kidney Disease, The Second Affiliated Hospital of Nanjing Medical University, 262 N Zhongshan Road, Nanjing, 210003, Jiangsu, China. jwyang@njmu.edu.cn.
Yang ZhouCenter for Kidney Disease, The Second Affiliated Hospital of Nanjing Medical University, 262 N Zhongshan Road, Nanjing, 210003, Jiangsu, China. zhouyang@njmu.edu.cn.ORCID http://orcid.org/0000-0003-0453-4598
Second Affiliated Hospital of Nanjing Medical University · CN

Funding

National Natural Science Foundation of China 82270760Natural Science Foundation of Jiangsu Province BK20201497
6 · The paper itself

Abstract

introductionDiabetic kidney disease (DKD) has become the leading cause of chronic kidney disease and end-stage renal failure in most developed and many developing countries. Strategies aimed at identifying potential modifiable risk factors for DKD are urgently needed. Here, we investigated the association between clusters of body fat and nutritional parameters with DKD in adults with type 2 diabetes mellitus (T2DM).

methodsThis was a cross-sectional study of 184 participants with T2DM. Biochemical parameters including fasting blood glucose, hemoglobin A1c, hemoglobin, albumin, creatinine, and urinary albumin-to-creatinine ratio (UACR) were measured. The data for percentage of body fat mass (PBF), visceral fat area (VFA), phase angle at 50 kHz (PA50), and body cell mass (BCM) were obtained by bioelectrical impedance analysis (BIA). DKD was diagnosed by UACR and estimated glomerular filtration rate. Factor analysis was used for dimensionality reduction clustering among variables. The association of clusters with the presence of DKD was assessed using binary logistic regression analysis.

resultsFactor analysis identified two clusters which were interpreted as a body fat cluster with positive loadings of VFA, body mass index, waist circumstance, and PBF and a nutritional parameters cluster with positive loadings of PA50, hemoglobin, BCM, and albumin. Participants were divided into the four groups based on the sex-specific cutoff value (median) of each cluster score calculated using the cluster weights and the original variable values. Only participants with high body fat and poor nutritional parameters (OR 3.43, 95% CI 1.25-9.42) were associated with increased odds of having DKD.

conclusionBody fat and nutritional parameters were strongly associated with and considerably contributed to the presence of DKD, suggesting that body fat and nutrition might be promising markers representing metabolic state in pathogenesis of DKD and clinical utility of BIA might provide valuable recommendations to patients with T2DM.

Indexed as

Bioelectrical impedance analysisDiabetic kidney diseasePercentage of body fatPhase angleVisceral fat area

Identifiers

PMID37962825
PMCPMC10786782
OpenAlexW4388671944

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.