Evidence map›Paper›PMID 32111716›Full record

Observational studyBMJ open diabetes research & care2020

Mendelian randomization study of serum uric acid levels and diabetes risk: evidence from the Dongfeng-Tongji cohort.

Mulatibieke Keerman, Fen Yang, Hua Hu, Jing Wang, Fei Wang, Zhaoyang Li, Jing Yuan, Ping Yao, Xiaomin Zhang, Huan Guo and 2 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  4. Review
  5. Observational
  6. SGLT2 Inhibitors and Uric Acid Homeostasis.Gout, urate, and crystal deposition disease · 2024
    Article
  7. Article
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  12. Article
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  15. Review
  16. Article
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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

12 authors.

Mulatibieke Keerman *Department of Occupational and Environmental Health and State Key Laboratory of Environmental and Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Fen Yang *Department of Occupational and Environmental Health and State Key Laboratory of Environmental and Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hua HuDepartment of Occupational and Environmental Health and State Key Laboratory of Environmental and Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jing WangDepartment of Occupational and Environmental Health and State Key Laboratory of Environmental and Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Fei WangDepartment of Occupational and Environmental Health and State Key Laboratory of Environmental and Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhaoyang LiDepartment of Occupational and Environmental Health and State Key Laboratory of Environmental and Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jing YuanDepartment of Occupational and Environmental Health and State Key Laboratory of Environmental and Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ping YaoDepartment of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaomin ZhangDepartment of Occupational and Environmental Health and State Key Laboratory of Environmental and Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huan GuoDepartment of Occupational and Environmental Health and State Key Laboratory of Environmental and Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Handong YangDepartment of Cardiovascular Disease, Dongfeng Motor Corporation General Hospital, Shiyan, China.
Meian HeDepartment of Occupational and Environmental Health and State Key Laboratory of Environmental and Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China hemeian@hotmail.com.ORCID 0000-0002-2096-921X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLimited Mendelian randomization (MR) studies have assessed the causal relationship between serum uric acid levels and diabetes risk. Here we investigated causality between the serum uric acid concentration and diabetes risk in Chinese population. RESEARCH DESIGN AND

methodsThe observational analysis, based on the Dongfeng-Tongji prospective cohort (n=15 195) we tested the association of serum uric acid levels with incident diabetes risk. In the instrumental variable analysis, we examined the association of the genetic risk score (GRS) of serum uric acid with diabetes risk in case-control design (2539 cases and 4595 controls) via MR analysis.

resultsDuring a mean (SD) follow-up of 4.5 (0.5) years, 1156 incident diabetes cases were identified. Compared with those in the lowest quintile of serum uric acid levels, the HRs of incident diabetes were 1.19 (95% CI 0.96 to 1.48), 1.12 (95% CI 0.90 to 1.40), 1.38 (95% CI 1.12 to 1.70), and 1.51 (95% CI 1.23 to 1.87) for Q2, Q3, Q4 and Q5, respectively (

conclusionsEven though serum uric acid levels were significantly associated with increased incident diabetes risk, the results did not provide evidence for a causal relationship between them.

Indexed as

Polymorphism, Single NucleotideAgedCase-Control StudiesChinaDiabetes Mellitus, Type 2FemaleGenotypeHumansIncidenceMaleMendelian Randomization AnalysisMiddle AgedProspective StudiesRisk FactorsUric AcidUric Acidgenetic epidemiologygenetic polymorphismsmetabolic syndrometype 2 diabetes

Identifiers

PMID32111716
PMCPMC7050304

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.