Evidence map›Paper›PMID 37732067›Full record

ReviewArchives of medical science : AMS2023

Polyunsaturated fatty acid status and risk of type 1 diabetes in infants and children: a systematic review and meta-analysis.

Xingmu Wang, Shuping Zhong, Jingfen Dong, Fuyuan Zhuge

Abstract readReview
In one paragraph

Review in Archives of medical science : AMS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

4 authors.

Xingmu WangClinical Laboratory Center, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, Zhejiang, China.
Shuping ZhongDepartment of Hospital Management, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, Zhejiang, China.
Jingfen DongDepartment of Endocrine and Metabolism, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, Zhejiang, China.
Fuyuan ZhugeDepartment of Endocrine and Metabolism, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The existing findings about the association between polyunsaturated fatty acid (PUFA) status (especially long-chain n-3 PUFAs) and the risk of preclinical or clinical type 1 diabetes (T1D) in children are controversial. This review aimed to evaluate the definite association. Material and methods: Three databases were systematically viewed until July, 2019 to identify relevant articles, without language restriction. Any observational study or randomized controlled trial reporting the risk estimates of preclinical or clinical T1D for PUFA status in infants and children was enrolled. Regardless of the statistical heterogeneity assessed by the Results: Five observational studies were enrolled in the meta-analysis. The status of n-3 PUFAs was negatively and significantly associated with the risk of preclinical, but not clinical, T1D (pooled RR = 0.85; 95% CI: 0.73-0.99) with substantial heterogeneity ( Conclusions: The meta-analysis suggests that n-3 PUFA might play a potential protective role in the cause of preclinical T1D, and n-3 PUFA intake may be beneficial, since the n-3 PUFA status was associated with a significant decrease in the risk of preclinical T1D in children. Nevertheless, more well-designed prospective studies are necessary to determine whether dietary or supplemental intake of specific n-3 PUFA alters the risk of preclinical T1D.

Indexed as

islet autoimmunitymeta-analysispolyunsaturated fatty acid statusrisksystematic reviewtype 1 diabetes

Identifiers

PMID37732067
PMCPMC10507780

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Registered trials

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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.