Evidence map›Paper›PMID 38965574›Full record

ArticleCardiovascular diabetology2024

Artificial sweeteners and risk of incident cardiovascular disease and mortality: evidence from UK Biobank.

Tao Sun, Juan Yang, Fang Lei, Xuewei Huang, Weifang Liu, Xingyuan Zhang, Lijin Lin, Linsu Sun, Xinlan Xie, Xiao-Jing Zhang and 4 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

14 authors.

Tao Sun *Department of Cardiology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Rd, 430060, Wuhan, China.
Juan Yang *Department of Cardiology, Huanggang Central Hospital of Yangtze University, Huanggang, China.
Fang LeiInstitute of Model Animal, Wuhan University, Wuhan, China.
Xuewei HuangInstitute of Model Animal, Wuhan University, Wuhan, China.
Weifang LiuDepartment of Cardiology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Rd, 430060, Wuhan, China.
Xingyuan ZhangInstitute of Model Animal, Wuhan University, Wuhan, China.
Lijin LinDepartment of Cardiology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Rd, 430060, Wuhan, China.
Linsu SunState Key Laboratory of New Drug Discovery and Development for Major Diseases, Gannan Medical University, Ganzhou, China.
Xinlan XieState Key Laboratory of New Drug Discovery and Development for Major Diseases, Gannan Medical University, Ganzhou, China.
Xiao-Jing ZhangState Key Laboratory of New Drug Discovery and Development for Major Diseases, Gannan Medical University, Ganzhou, China.
Jingjing CaiInstitute of Model Animal, Wuhan University, Wuhan, China.
Zhi-Gang SheDepartment of Cardiology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Rd, 430060, Wuhan, China. zgshe@whu.edu.cn.
Chengsheng XuDepartment of Cardiology, Huanggang Central Hospital of Yangtze University, Huanggang, China. 735875160@qq.com.
Hongliang LiDepartment of Cardiology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Rd, 430060, Wuhan, China. lihl@whu.edu.cn.

Funding

The Hubei Provincial Industrial Technology Research Institute of Comprehensive Care for Heart-Brain Diseases 2021YJY003The National Science Foundation of China 82260020The National Science Foundation of China 82270390
6 · The paper itself

Abstract

backgroundArtificial sweeteners are widely popular worldwide as substitutes for sugar or caloric sweeteners, but there are still several important unknowns and controversies regarding their associations with cardiovascular disease (CVD). We aimed to extensively assess the association and subgroup variability between artificial sweeteners and CVD and CVD mortality in the UK Biobank cohort, and further investigate the modification effects of genetic susceptibility and the mediation role of type 2 diabetes mellitus (T2DM).

methodsThis study included 133,285 participants in the UK Biobank who were free of CVD and diabetes at recruitment. Artificial sweetener intake was obtained from repeated 24-hour diet recalls. Cox proportional hazard models were used to estimate HRs. Genetic predisposition was estimated using the polygenic risk score (PRS). Furthermore, time-dependent mediation was performed.

resultsIn our study, artificial sweetener intake (each teaspoon increase) was significantly associated with an increased risk of incident overall CVD (HR1.012, 95%CI: 1.008,1.017), coronary artery disease (CAD) (HR: 1.018, 95%CI: 1.001,1.035), peripheral arterial disease (PAD) (HR: 1.035, 95%CI: 1.010,1.061), and marginally significantly associated with heart failure (HF) risk (HR: 1.018, 95%CI: 0.999,1.038). In stratified analyses, non-whites were at greater risk of incident overall CVD from artificial sweetener. People with no obesity (BMI < 30 kg/m

conclusionsOur findings suggest significant or marginally significant associations between artificial sweeteners and CVD and its subtypes (CAD, PAD, and HF). The associations are independent of genetic predisposition and are mediated primarily by T2DM. Therefore, the large-scale application of artificial sweeteners should be prudent, and the responses of individuals with different characteristics to artificial sweeteners should be better characterized to guide consumers' artificial sweeteners consumption behavior.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Genetic Predisposition to DiseaseNon-Nutritive SweetenersAdultAgedFemaleHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentRisk FactorsNon-Nutritive Sweeteners

Identifiers

PMID38965574
PMCPMC11225337

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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.