Evidence map›Paper›PMID 34539575›Full record

ArticleFrontiers in endocrinology2021

Causal Effect of Visceral Adipose Tissue Accumulation on the Human Longevity: A Mendelian Randomization Study.

Bin Yan, Jian Yang, Binbin Zhao, Yanhua Wu, Ling Bai, Xiancang Ma

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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  5. 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

6 authors.

Bin YanDepartment of Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jian YangDepartment of Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Binbin ZhaoDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yanhua WuDepartment of Clinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ling BaiDepartment of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiancang MaDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Observational studies have demonstrated a close relationship between obesity and longevity. The aim of this Mendelian randomization (MR) study is to investigate whether genetic determinants of visceral adipose tissue (VAT) accumulation are causally associated with longevity. Methods: In this two-sample MR study, we used summary data of genetic determinants (single-nucleotide polymorphisms; p < 5 × 10 Results: Our MR analysis used 221 genetic variants as instrumental variables to explore the causal association between VAT accumulation and longevity. In the standard IVW methods, VAT accumulation (per 1-kg increase) was found to be significantly associated with lower odds of surviving to the 90th (odds ratio [OR] = 0.69; 95% confidence interval [CI] 0.55 to 0.86, p = 8.32 × 10 Conclusion: This MR analysis identified a causal relationship between genetically determined VAT accumulation and longevity, suggesting that visceral adiposity may have a negative effect on longevity.

Indexed as

AgedAged, 80 and overCase-Control StudiesCausalityFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansIntra-Abdominal FatLongevityMaleMendelian Randomization AnalysisMeta-Analysis as TopicMiddle AgedObesity, AbdominalPolymorphism, Single Nucleotidecausal relationshiplongevityMendelian randomization studyobesityvisceral adipose tissue

Identifiers

PMID34539575
PMCPMC8440971

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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.