Evidence map›Paper›PMID 37810924›Full record

ArticleFrontiers in nutrition2023

A cross-sectional study on the association between dietary inflammatory index and hyperuricemia based on NHANES 2005-2018.

Hao Wang, Shengmei Qin, Feng Li, Huanhuan Zhang, Ling Zeng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

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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

16 citing papers in PubMed, 19 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

5 authors at 3 institutions in 1 country.

Hao WangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Shengmei QinDepartment of Nursing, Stomatological Hospital Southern Medical University, Guangzhou, China.
Feng LiDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Huanhuan ZhangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Ling ZengDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
West China Hospital of Sichuan University · CNSichuan University · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hyperuricemia is a common condition that can lead to gout and other related diseases. It has been suggested that Inflammatory factors play important role in the development and progression of hyperuricemia. The dietary inflammatory index (DII) enables the assessment of the inflammatory potential of an individual's diet. This study aimed to investigate the association between DII and hyperuricemia. Methods: This study was performed based on a cross-sectional dataset from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Participants aged 18 years and above with dietary intake and serum uric acid level information were included. DII scores were calculated using dietary intake data, based on which participants were categorized into tertiles. Multivariable logistic regression analysis was adopted to investigate the association between DII and hyperuricemia. Results: Among a total of 31,781 participants in the analysis, 5,491 had hyperuricemia. After adjusting confounding factors, the odds of hyperuricemia are significantly higher in the second (OR 1.17, 95% CI 1.07-1.29) and third tertiles (OR 1.31, 95% CI 1.19-1.44) relative to the first one. Conclusion: This study suggested that diet with higher inflammatory potential, as measured by DII, is associated with increased hyperuricemia risk. These findings indicated that dietary modification may be a potential approach for hyperuricemia's prevention and control.

Indexed as

adultsdietary inflammatory indexhyperuricemiaNHANESthe United States

Identifiers

PMID37810924
PMCPMC10552180
OpenAlexW4386917096

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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.