Evidence map›Paper›PMID 37720422›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Correlation Between the Variability of Different Obesity Indices and Diabetic Kidney Disease: A Retrospective Cohort Study Based on Populations in Taiwan.

Zhenzhen Sun, Kun Wang, Chuan Yun, Fang Bai, Xiaodan Yuan, Yaujiunn Lee, Qingqing Lou

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In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

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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

7 authors.

Zhenzhen Sun *The First Affiliated Hospital of Hainan Medical University, Hainan Clinical Research Center for Metabolic Disease, Haikou, Hainan, People's Republic of China.
Kun Wang *The First Affiliated Hospital of Hainan Medical University, Hainan Clinical Research Center for Metabolic Disease, Haikou, Hainan, People's Republic of China.
Chuan YunThe First Affiliated Hospital of Hainan Medical University, Hainan Clinical Research Center for Metabolic Disease, Haikou, Hainan, People's Republic of China.
Fang BaiThe First Affiliated Hospital of Hainan Medical University, Hainan Clinical Research Center for Metabolic Disease, Haikou, Hainan, People's Republic of China.
Xiaodan YuanAffiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, People's Republic of China.
Yaujiunn LeeDepartment of Endocrinology, Lee's Clinic, Pingtung City, Pingtung County, Taiwan.
Qingqing LouThe First Affiliated Hospital of Hainan Medical University, Hainan Clinical Research Center for Metabolic Disease, Haikou, Hainan, People's Republic of China.ORCID 0000-0002-4743-0900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the association of five obesity indices and the variability of these indices with diabetic kidney disease (DKD) in patients with type 2 diabetes and compare the predictive validity of these markers for the risk of DKD in this large longitudinal cohort study. Patients and Methods: A total of 2659 patients with type 2 diabetes who did not have DKD were enrolled between 2006 and 2019 at Lee's United Clinic in Taiwan. Data were collected for each subject, including demographic data, personal medical history, clinical parameters and calculated Body mass index (BMI), visceral adiposity index (VAI), lipid accumulation product (LAP), body roundness index (BRI) and variability of five obesity indices. Cox regression analysis was performed to determine the relationship between different obesity indicators and DKD risk. Cox's proportional hazards model was evaluated the predictive effect of obesity indices on DKD. Results: The risk of developing DKD increased with an increase in the BRI, LAP, VAI, WC and BMI (all P trend<0.05), and the variability of VAI was significantly associated with DKD [HR=1.132, 95% CI (1.001, 1.281)] after adjusting for corresponding variables. BRI had the strongest predictive effect on DKD. BRI had the best predictive performance, with AUC of 0.807, 0.663 and 0.673 at 1, 3 and 5 years, respectively. Cox regression analysis of risk factors for DKD in patients stratified by BRI quartiles showed that patients in the Q4 group had the highest risk of developing DKD [HR=1.356, 95% CI (1.131, 1.626)]. Conclusion: BMI, WC, VAI, LAP, BRI and VAI variability were associated with a significant increase in the risk of DKD events, and BRI was superior and alternative obesity index for predicting DKD.

Indexed as

body roundness indexdiabetic kidney diseaselipid accumulation productvisceral adiposity index

Identifiers

PMID37720422
PMCPMC10504903

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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.