Evidence mapPaperPMID 39086544Full record

ArticleFrontiers in nutrition2024

Diet affects inflammatory arthritis: a Mendelian randomization study of 30 dietary patterns causally associated with inflammatory arthritis.

Haiyang Wang, Qinglin Wu, Pengda Qu, Shiqi Wang, Shiyu Du, Zhaorong Peng, Licheng Tao, Wuxia Wang, Xiaohu Tang

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In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. 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

9 authors.

Haiyang Wang *The First Clinical of Medicine College, Yunnan University of Chinese Medicine, Kunming, China.
Qinglin Wu *The First Clinical of Medicine College, Yunnan University of Chinese Medicine, Kunming, China.
Pengda QuThe First Clinical of Medicine College, Yunnan University of Chinese Medicine, Kunming, China.
Shiqi WangThe First Clinical of Medicine College, Yunnan University of Chinese Medicine, Kunming, China.
Shiyu DuThe First Clinical of Medicine College, Yunnan University of Chinese Medicine, Kunming, China.
Zhaorong PengThe First Clinical of Medicine College, Yunnan University of Chinese Medicine, Kunming, China.
Licheng TaoThe First Clinical of Medicine College, Yunnan University of Chinese Medicine, Kunming, China.
Wuxia WangThe First Clinical of Medicine College, Yunnan University of Chinese Medicine, Kunming, China.
Xiaohu TangThe First Clinical of Medicine College, Yunnan University of Chinese Medicine, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The causal associations between dietary intake and the risk and severity of Inflammatory Arthritis (IA) are currently unknown. Objective: In this study, we aimed to investigate the causal relationship between nine dietary categories (30 types of diet) and IA using Mendelian randomization (MR). Methods: We analyzed data from 30 diets and IA in a genome-wide association study (GWAS). Single nucleotide polymorphisms (SNPs) that could influence the results of MR analyses were screened out through the Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test. SNPs were analyzed through two-sample bidirectional MR using inverse variance weighting, MR-Egger regression, and weighted median method. The multiplicity and heterogeneity of SNPs were assessed using MR-Egger intercept term tests and Cochran's Results: IVW results showed that Beef intake [Odds ratio (OR) = 2.862; 95% confidence interval (CI), 1.360-6.021, Conclusion: Our study presents genetic evidence supporting a causal relationship between diet and an increased risk of IA. It also identifies a causal relationship between various dietary modalities and different types of IA. These findings have significant implications for the prevention and management of IA through dietary modifications.

Indexed as

causal associationsdietgenome-wide association analysisinflammatory arthritisinverse variance weighting methodMendelian randomizationsensitivity analysis

Identifiers

PMID39086544
PMCPMC11289845

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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 Socratic graph.