Evidence map›Paper›PMID 25579387›Full record

SynthesisMolecular neurobiology2016

Serum Uric Acid Levels and Diabetic Peripheral Neuropathy in Type 2 Diabetes: a Systematic Review and Meta-analysis.

Shuai Yu, Ying Chen, Xu Hou, Donghua Xu, Kui Che, Changgui Li, Shengli Yan, Yangang Wang, Bin Wang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Molecular neurobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 12% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
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  4. Article
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  8. Review
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  11. The Relationship Between UA/HDL and Diabetic Peripheral Neuropathy: A Cross-Sectional Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Formate Might Be a Novel Potential Serum Metabolic Biomarker for Type 2 Diabetic Peripheral Neuropathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  18. Article
  19. Article
  20. 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 at 3 institutions in 1 country.

Shuai YuDepartment of Endocrinology, Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
Ying ChenDepartment of Endocrinology, Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
Xu HouDepartment of Endocrinology, Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
Donghua XuDepartment of Rheumatology, First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Kui CheDepartment of Endocrinology, Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
Changgui LiShandong Provincial Key Laboratory of Metabolic Disease, Affiliated Hospital of QingdaoUniversity, Qingdao, 266003, China.
Shengli YanDepartment of Endocrinology, Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China.
Yangang WangDepartment of Endocrinology, Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China. nlwang@126.com.
Bin WangDepartment of Endocrinology, Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, 266003, China. robin.wangqy@gmail.com.
Affiliated Hospital of Qingdao University · CNQingdao University · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies suggested a possible association between serum uric acid levels and peripheral neuropathy in patients with type 2 diabetes, but no definite evidence was available. A systematic review and meta-analysis of relevant studies were performed to comprehensively estimate the association. Pubmed, Web of Science, Embase, and China Biology Medicine (CBM) databases were searched for eligible studies. Study-specific data were combined using random-effect or fixed-effect models of meta-analysis according to between-study heterogeneity. Twelve studies were finally included into the meta-analysis, which involved a total of 1388 type 2 diabetic patients with peripheral neuropathy and 4746 patients without peripheral neuropathy. Meta-analysis showed that there were obvious increased serum uric acid levels in diabetic patients with peripheral neuropathy (weighted mean difference [WMD] = 50.03 μmol/L, 95% confidence interval [95%CI] 22.14-77.93, P = 0.0004). Hyperuricemia was also significantly associated with increased risk of peripheral neuropathy in patients with type 2 diabetes (risk ratio [RR] = 2.83, 95%CI 2.13-3.76, P < 0.00001). Meta-analysis of two studies with adjusted risk estimates showed that hyperuricemia was independently associated with increased risk of peripheral neuropathy in type 2 diabetic patients (RR = 1.95, 95%CI 1.23-3.11, P = 0.005). Type 2 diabetic patients with peripheral neuropathy have obvious increased serum uric acid levels, and hyperuricemia is associated with increased risk of peripheral neuropathy. Further prospective cohort studies are needed to validate the impact of serum uric acid levels on peripheral neuropathy risk.

Indexed as

Diabetes Mellitus, Type 2Diabetic NeuropathiesHumansHyperuricemiaPublication BiasRisk FactorsUric AcidUric AcidDiabetic peripheral neuropathyHyperuricemiaUric acid

Identifiers

PMID25579387
OpenAlexW2060347590

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.