Evidence mapPaperPMID 40012233Full record

SynthesisRenal failure2025

Causal insights into major risk factors for diabetic kidney disease: a comprehensive meta-analysis and Mendelian randomization study.

Yucong Zhou, Yahong Liu, Liang Wu, Yucai Zhang, Huixin Wen, Jiangwei Hu, Zhenxia Huo, Shuyuan Ju, Ruizheng Sheng

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Renal failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

9 authors.

Yucong ZhouDepartment of Nephrology, The Second Affiliated Hospital of Xingtai Medical College, Xingtai City, China.
Yahong LiuDepartment of Nephrology, The Second Affiliated Hospital of Xingtai Medical College, Xingtai City, China.
Liang WuDepartment of Nephrology, The Second Affiliated Hospital of Xingtai Medical College, Xingtai City, China.
Yucai ZhangDepartment of Nephrology, The Second Affiliated Hospital of Xingtai Medical College, Xingtai City, China.
Huixin WenDepartment of Nephrology, The Second Affiliated Hospital of Xingtai Medical College, Xingtai City, China.
Jiangwei HuDepartment of Nephrology, The Second Affiliated Hospital of Xingtai Medical College, Xingtai City, China.
Zhenxia HuoDepartment of Nephrology, The Second Affiliated Hospital of Xingtai Medical College, Xingtai City, China.
Shuyuan JuDepartment of Nephrology, The Second Affiliated Hospital of Xingtai Medical College, Xingtai City, China.
Ruizheng ShengDepartment of Nephrology, The Second Affiliated Hospital of Xingtai Medical College, Xingtai City, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to identify major risk factors for diabetic kidney disease (DKD) and examine their causal relationships using meta-analysis and Mendelian randomization. MATERIALS AND

methodsThis study reviewed diabetic nephropathy literature up to September 2024, evaluating quality with NOS, AMSTAR 2, and JBI. It analyzed heterogeneity using the Baujat plot and leave-one-out method, and conducted meta-analysis with fixed- or random-effects models based on I

resultsMeta-analysis identified several significant risk factors for DKD, including hypertension (relative risk [RR] = 6.33), comorbidities (RR = 4.96), poor glycemic control (RR = 3.27), non-adherence to treatment (RR = 3.30), an unhealthy diet (RR = 5.96), physical inactivity (RR = 5.60), and hyperuricemia (RR = 5.24). MR analysis further confirmed a causal relationship between high carbohydrate intake (odds ratio [OR] = 1.393,

conclusionsBy integrating meta-analysis with Mendelian randomization, this study provides robust evidence linking modifiable risk factors, particularly dietary habits and lifestyle behaviors, to DKD development. The findings highlight the need for early preventive strategies targeting glycemic control, hypertension, and dietary modifications to mitigate DKD progression.

Indexed as

Diabetic NephropathiesGenome-Wide Association StudyGlycemic ControlHumansHypertensionHyperuricemiaMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk Factorscausal inferenceDiabetic kidney diseaselifestyle interventionsMendelian randomizationmeta-analysisrisk factors

Identifiers

PMID40012233
PMCPMC11984328

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.