Evidence map›Paper›PMID 40813628›Full record

ArticleBMC geriatrics2025

Habitual sweet and bitter beverage consumption in relation to the risk of frailty and sarcopenia-related traits: a Mendelian randomization study.

Xingzhi Guo, Chen Hou, Peng Tang, Lina Zhang, Rui Li

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Xingzhi GuoDepartment of Geriatric Neurology, Shaanxi Provincial People's Hospital, No. 256, Youyi West Road, Xi'an, 710068, Shaanxi, People's Republic of China.
Chen HouDepartment of Geriatric Neurology, Shaanxi Provincial People's Hospital, No. 256, Youyi West Road, Xi'an, 710068, Shaanxi, People's Republic of China.
Peng TangDepartment of Geriatric Neurology, Shaanxi Provincial People's Hospital, No. 256, Youyi West Road, Xi'an, 710068, Shaanxi, People's Republic of China.
Lina ZhangDepartment of Geriatric Neurology, Shaanxi Provincial People's Hospital, No. 256, Youyi West Road, Xi'an, 710068, Shaanxi, People's Republic of China.
Rui LiDepartment of Geriatric Neurology, Shaanxi Provincial People's Hospital, No. 256, Youyi West Road, Xi'an, 710068, Shaanxi, People's Republic of China. rli@nwpu.edu.cn.

Funding

Shaanxi Provincial Traditional Chinese Medicine Administration Double Chain Integration Middle Youth Research and Innovation Team Project 2022-SLRH-LJ-007
6 · The paper itself

Abstract

Previous studies have associated different beverage types with frailty and sarcopenia, it remains uncertain whether these associations are causal. This Mendelian randomization study aimed to investigate the causal effects of various beverage consumption on frailty and sarcopenia-related traits. Independent genetic variants strongly (P < 5E-8) associated with sweet and bitter beverages and their subtypes were used as instrumental variables. Summary-level data from recent genome-wide association studies on frailty index (FI), appendicular lean mass (ALM), and low hand grip strength (LHGS) were utilized, with false discovery rate (FDR) adjustment for multiple comparisons. Genetically predicted consumption of bitter non-alcoholic beverages (BNaBs) was associated with increased FI (β = 0.16, 95%CI: 0.04-0.28, P

Indexed as

BeveragesFrailtyMendelian Randomization AnalysisSarcopeniaSugar-Sweetened BeveragesAgedFemaleGenome-Wide Association StudyHand StrengthHumansMaleRisk FactorsBeverageBitterFrailtyMendelian randomizationSarcopenia

Identifiers

PMID40813628
PMCPMC12351878

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.