Evidence mapPaperPMID 40949084Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Hypertension and BMI as Mediators of Type 2 Diabetes-Induced CKD: Insights from an Integrative Multi-Database Study.

Heng Wang, Keyi Fan, Yijie Ning, Yaling Li, Xiaotong Qi, Ziyan Wang, Keyang Xu, Ruijing Zhang, Yun Zhou, Honglin Dong and 1 more

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Diabetes: A Subspecialty of Medicine and a Matter of Public Health.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  5. 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

11 authors.

Heng Wang *Centre for Transplant and Renal Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-7408-0398
Keyi Fan *Vascular Institute of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.ORCID 0000-0002-1820-9107
Yijie Ning *Vascular Institute of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.ORCID 0000-0003-3456-2899
Yaling LiVascular Institute of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Xiaotong QiDepartment of Vascular Surgery, Institute of Vascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China.
Ziyan WangDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Keyang XuFaculty of Chinese Medicine, and State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, Macao SAR, People's Republic of China.
Ruijing ZhangDepartment of Nephrology, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Yun ZhouDepartment of Nephrology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Honglin Dong *Vascular Institute of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Guoping Zheng *Centre for Transplant and Renal Research, Westmead Institute for Medical Research, The University of Sydney, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease is a major global health concern, with type 2 diabetic nephropathy (T2DN) significantly contributing to its burden. This study examines global trends, key risk factors, and clinical characteristics of T2DN to identify modifiable contributors and inform precision management. Methods: Data from the 2021 GBD Study, Mendelian randomization (MR) analyses, NHANES, and a clinical cohort were utilized. Trends in prevalence, incidence, mortality, disability-adjusted life years (DALYs), and population-attributable fractions (PAF) of T2DN risk factors were analyzed globally and across sociodemographic strata. Genetic determinants were identified via two-sample and multivariable MR, while clinical data were analyzed using regression and correlation analyses. Results: Between 1990 and 2021, T2DN prevalence, incidence, and DALYs increased globally, and the global mortality rate rose from 5.73 (4.81, 6.83) to 10.25 (8.62, 12.15). High fasting plasma glucose was the primary risk factor, with rising PAFs for high BMI and systolic blood pressure (SBP), and the global PAF for deaths due to T2DN attributed to high fasting plasma glucose increased from 0.80 to 0.90. MR analysis confirmed causal links between fasting glucose (β = 1.351, Conclusion: T2DM progression to T2DN is driven by hyperglycemia, BMI, and BP, highlighting the need for targeted interventions.

Indexed as

blood pressurebody mass indexchronic kidney diseasetype 2 diabetes mellitustype 2 diabetic nephropathy

Identifiers

PMID40949084
PMCPMC12433225

What Socratic 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 Socratic graph.