Evidence map›Paper›PMID 35992130›Full record

ArticleFrontiers in endocrinology2022

The role of obesity, type 2 diabetes, and metabolic factors in gout: A Mendelian randomization study.

Yang Yang, Wei Xian, Dide Wu, Zijun Huo, Shubin Hong, Yanbing Li, Haipeng Xiao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 58 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 2 institutions in 1 country.

Yang YangDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Wei XianDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Dide WuDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zijun HuoDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Shubin HongDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yanbing LiDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Haipeng XiaoDepartment of Endocrinology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several epidemiological studies have reported a possible correlation between risk of gout and metabolic disorders including type 2 diabetes, insulin resistance, obesity, dyslipidemia, and hypertension. However, it is unclear if this association is causal. Methods: We used Mendelian randomization (MR) to evaluate the causal relation between metabolic conditions and gout or serum urate concentration by inverse-variance-weighted (conventional) and weighted median methods. Furthermore, MR-Egger regression and MR-pleiotropy residual sum and outlier (PRESSO) method were used to explore pleiotropy. Genetic instruments for metabolic disorders and outcome (gout and serum urate) were obtained from several genome-wide association studies on individuals of mainly European ancestry. Results: Conventional MR analysis showed a robust causal association of increasing obesity measured by body mass index (BMI), high-density lipoprotein cholesterol (HDL), and systolic blood pressure (SBP) with risk of gout. A causal relationship between fasting insulin, BMI, HDL, triglycerides (TG), SBP, alanine aminotransferase (ALT), and serum urate was also observed. These results were consistent in weighted median method and MR-PRESSO after removing outliers identified. Our analysis also indicated that HDL and serum urate as well as gout have a bidirectional causal effect on each other. Conclusions: Our study suggested causal effects between glycemic traits, obesity, dyslipidemia, blood pressure, liver function, and serum urate as well as gout, which implies that metabolic factors contribute to the development of gout

Indexed as

Diabetes Mellitus, Type 2GoutHypertensionGenome-Wide Association StudyHumansMendelian Randomization AnalysisObesityUric AcidUric Acidcausal relationshipgoutMendelian randomizationmetabolic factorsurate

Identifiers

PMID35992130
PMCPMC9388832
OpenAlexW4289889176

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.