Evidence map›Paper›PMID 37555321›Full record

ArticlePsychological medicine2023

Associations between polygenic risk scores and accelerated brain ageing in smokers.

Zeyu Yang, Wei Zhao, Zeqiang Linli, Shuixia Guo, Jianfeng Feng

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychological medicine, 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
2.2field-weighted citation impact, top 11% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  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

5 authors at 3 institutions in 2 countries.

Zeyu YangMOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha 410006, P.R.China.ORCID 0000-0001-8879-0278
Wei ZhaoMOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha 410006, P.R.China.
Zeqiang LinliSchool of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, 510006, P.R.China.
Shuixia GuoMOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha 410006, P.R.China.
Jianfeng FengCentre for Computational Systems Biology, Fudan University, Shanghai 200433, P.R.China.
Hunan Normal University · CNFudan University · CNGuangdong University of Foreign Studies · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking contributes to a variety of neurodegenerative diseases and neurobiological abnormalities, suggesting that smoking is associated with accelerated brain aging. However, the neurobiological mechanisms affected by smoking, and whether they are genetically influenced, remain to be investigated.

methodsUsing structural magnetic resonance imaging data from the UK Biobank (

resultsThe BrainAge in smokers was predicted with very high accuracy (

conclusionBy using a simplified single indicator of the entire brain (BAG) in combination with the PRS, this study highlights the greater BAG in smokers and its linkage with genes and smoking behavior, providing insight into the neurobiological underpinnings and potential features of smoking-related aging.

Indexed as

Genetic Risk ScoreSmokersAgingBrainGray MatterHumansRisk FactorsAgeingbrain ageenrichment analysispolygenic risk scoresmokingsMRI

Identifiers

PMID37555321
PMCPMC10755245
OpenAlexW4385684157

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.