Evidence map›Paper›PMID 38567249›Full record

ArticleFrontiers in nutrition2024

The protective role of oily fish intake against type 2 diabetes: insights from a genetic correlation and Mendelian randomization study.

Youqian Zhang, Entong Ren, Chunlong Zhang, Yang Wang, Xiaohe Chen, Lin Li

Open access · goldAbstract read
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 4 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

6 authors at 3 institutions in 1 country.

Youqian ZhangDepartment of Endocrinology, The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, China.
Entong RenHealth Science Center, Yangtze University, Jingzhou, Hubei, China.
Chunlong ZhangHealth Science Center, Yangtze University, Jingzhou, Hubei, China.
Yang WangDepartment of Neurology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaohe ChenHealth Science Center, Yangtze University, Jingzhou, Hubei, China.
Lin LiDepartment of Endocrinology, The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, China.
Yangtze University · CNSecond Affiliated Hospital of Zhengzhou University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Previous research has underscored the association between oily fish intake and type 2 diabetes (T2DM), yet the causality remains elusive. Methods: A bidirectional univariable Mendelian Randomization (MR) analysis was employed to evaluate the causal effects of oily fish and non-oily fish intake on T2DM. Replication analysis and meta-analysis were conducted to ensure robust results. Multivariable MR analysis was utilized to assess confounders, and further mediation MR analysis discerned mediating effects. Linkage Disequilibrium Score (LDSC) analysis was undertaken to compute genetic correlations. Inverse variance weighted (IVW) was the primary method, complemented by a series of sensitivity analyses. Results: The LDSC analysis unveiled a significant genetic correlation between oily fish intake and T2DM (Genetic correlation: -0.102, Conclusion: To encapsulate, there's an inverse association between oily fish intake and T2DM risk, suggesting potential benefits of oily fish intake in T2DM prevention.

Indexed as

causal relationshipLinkage Disequilibrium ScoreMendelian randomizationoily fishtype 2 diabetes

Identifiers

PMID38567249
PMCPMC10986736
OpenAlexW4392970775

What OpenQuestion holds

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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.