Evidence map›Paper›PMID 38089429›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Obesity Patterns, Metabolic Abnormality, and Diabetic Kidney Disease in Patients with Type 2 Diabetes.

Kun Zhang, Wen Zhang, Fangzhen Xia, Ningjian Wang, Yingli Lu, Chunhua Sui, Bin Wang

Open access · goldAbstract read
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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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 at 1 institution in 1 country.

Kun ZhangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Wen ZhangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Fangzhen XiaInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Ningjian WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Yingli LuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.ORCID 0000-0002-5117-1614
Chunhua SuiInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Bin WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, People's Republic of China.
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Obesity has been identified as a risk factor for chronic kidney disease. However, the impact of obesity, with or without a metabolically healthy condition, on diabetic kidney disease (DKD) remains unclear. We aimed to examine the associations of obesity patterns and metabolic abnormalities with the prevalence of DKD. Methods: This cross-sectional study included 4079 patients with type 2 diabetes from eleven communities in Shanghai, China. General obesity was assessed by body mass index (BMI) and abdominal obesity assessed by waist-to-hip ratio. Metabolic abnormalities were determined according to the Adult Treatment Panel III criteria. DKD was defined as estimated glomerular filtration rate <60 mL/min/1.73 m Results: Higher BMI and WHR were each associated with a greater prevalence of DKD after mutual adjustment. When considered jointly, patients with both general obesity and abdominal obesity had the highest odds of DKD (PR 1.51, 95% CI 1.29-1.76). The associations of BMI and WHR with prevalent DKD were mainly observed in patients with use of antidiabetic drugs but not in those without drug use. Compared with normal-weight patients with 0-1 metabolic abnormality, patients who were overweight or obese with 0-1 metabolic abnormality showed increased odds of DKD. The PRs (95% CI) of DKD for patients with both overweight/obesity and abdominal obesity who had 0-1, 2, and 3 metabolic abnormalities were 1.59 (1.20-2.10), 1.68 (1.29-2.18), and 2.16 (1.67-2.78), respectively, relative to those with normal BMI and no abdominal obesity who had 0-1 metabolic abnormality. Conclusion: BMI and WHR were positively associated with DKD prevalence. Obesity composite and metabolic abnormalities had an additive effect on the odds of DKD. Further longitudinal studies are warranted to elucidate the role of obesity and metabolic abnormalities in the development of DKD.

Indexed as

abdominal obesitydiabetic kidney diseasegeneral obesitymetabolic abnormality

Identifiers

PMID38089429
PMCPMC10712678
OpenAlexW4389441241

What OpenQuestion holds

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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.