Evidence map›Paper›PMID 38276301›Full record

ArticleMetabolites2024

The Impact of Different Intensities of Physical Activity on Serum Urate and Gout: A Mendelian Randomization Study.

Tangxun Yang, Shilin Bi, Xing Zhang, Mingyue Yin, Siyuan Feng, Hansen Li

Abstract read
In one paragraph

Article in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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

6 authors.

Tangxun YangSchool of Physical Education, Xihua University, Chengdu 610039, China.
Shilin BiNational Institute of Education, Nanyang Technological University, Singapore 637616, Singapore.
Xing ZhangDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18071 Granada, Spain.
Mingyue YinSchool of Athletic Performance, Shanghai University of Sport, Shanghai 200438, China.ORCID 0000-0002-6105-8797
Siyuan FengLaboratory of Genetics, University of Wisconsin-Madison, Madison, WI 53706, USA.
Hansen LiInstitute of Sports Science, College of Physical Education, Southwest University, Chongqing 400715, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical activity is a potential protective factor against gout, but the role of exercise intensity in this context remains unclear. To overcome the limitations of observational studies in causal inference, this study employed a two-sample Mendelian randomization approach to explore the impact of different genetically proxied/predicted intensities of physical activity on serum urate concentration and the incidence of gout. Our data related to physical activity, serum urate, and gout were obtained from the UK Biobank, the Global Urate Genetics Consortium (GUGC), and the FinnGen dataset, respectively. Walking was included as representative of typical low-intensity physical activity in the analysis, and the other two types were moderate and vigorous physical activities. The estimation methods we used included the inverse-variance-weighted (IVW) method, MR-Egger regression, weighted-median method, simple-mode method, and weighted-mode method. Sensitivity analyses involved Rucker's framework, Cochran's Q test, funnel plots, MR-PRESSO outlier correction, and leave-one-out analysis. We found suggestive evidence from the inverse-variance-weighted method that moderate physical activity was a potential factor in reducing the incidence of gout (OR = 0.628,

Indexed as

chronic diseasegoutmetabolic disorderphysical activityuric

Identifiers

PMID38276301
PMCPMC10819057

What Socratic 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 Socratic graph.