Evidence map›Paper›PMID 38481974›Full record

ReviewFrontiers in nutrition2024

Dietary pattern and risk of hyperuricemia: an updated systematic review and meta-analysis of observational studies.

Zhao-Yan Wen, Yi-Fan Wei, Ye-Huan Sun, Wen-Ping Ji

Open access · goldAbstract readReview
In one paragraph

Review 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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  3. Article
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  6. Food science & nutrition · 2025
    Article
  7. Article
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  9. Frontiers in nutrition · 2025
    Article
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  11. Review
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

4 authors at 3 institutions in 1 country.

Zhao-Yan Wen *Scientific Research Management Department, Chaohu Hospital Affiliated to Anhui Medical University, Hefei, China.
Yi-Fan WeiDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
Ye-Huan SunScientific Research Management Department, Chaohu Hospital Affiliated to Anhui Medical University, Hefei, China.
Wen-Ping Ji *Scientific Research Management Department, Chaohu Hospital Affiliated to Anhui Medical University, Hefei, China.
Chaohu Hospital of Anhui Medical University · CNAnhui Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The associations of Methods: Our analysis protocol has been registered with PROSPEPO (Number: CRD42022376745). English publications were searched in Embase, PubMed, and Web of Science from inception to January 1, 2024. Summary odds ratio (OR) and 95% confidence intervals (CIs) were calculated by a random-effects model. We also conducted subgroup, sensitivity, and meta-regression analyses and publication bias assessments. Results: Thirteen studies with a total of 163,192 participants were included in the current meta-analysis. Our finding revealed that the plant-based pattern was linked with a 17% decreased risk of HUA (OR = 0.83, 95%CI = 0.72-0.94, Conclusion: The plant-based pattern is inversely correlated with HUA risk, whereas animal-based food patterns and sweet food patterns are positively correlated with HUA risk.

Indexed as

dietary patternhyperuricemiameta-analysisrisksystematic review

Identifiers

PMID38481974
PMCPMC10932991
OpenAlexW4392235413

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.