Evidence map›Paper›PMID 41175419›Full record

ArticleThe Journal of international medical research2025

Assessment of relationships between frailty and diabetes: A two-sample Mendelian randomization study.

Lan Zhang, Shanshan Cui, Sha Liu, Cong Fu, Yan Qin, Yawei Liu, Shengfang Yao

Abstract read
In one paragraph

Article in The Journal of international medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

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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 synthesis or guideline pooled it.

  1. Pooled it
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

7 authors.

Lan ZhangDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Affiliated Hospital of Hebei University, China.
Shanshan CuiDepartment of General Practice, Hebei University, China.
Sha LiuDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Affiliated Hospital of Hebei University, China.
Cong FuDepartment of Nursing, Affiliated Hospital of Hebei University, China.
Yan QinCentral Laboratory, Affiliated Hospital of Hebei University, China.
Yawei LiuDepartment of Integrated Traditional Chinese Medicine and Western Medicine, Affiliated Hospital of Hebei University, China.ORCID 0009-0008-5198-9636
Shengfang YaoDepartment of Anesthesiology Affiliated Hospital of Hebei University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectivesObservational studies have suggested a unidirectional association between frailty and diabetes; however, their causal relationship remains unclear. This study aimed to investigate the bidirectional causal associations between frailty and diabetes to provide more definitive evidence.MethodsWe conducted a two-sample Mendelian randomization study using genome-wide association study data to examine the bidirectional causal relationship between frailty-measured by the frailty index and Fried Frailty Phenotype-and diabetes, including type 2 diabetes mellitus, type 1 diabetes mellitus, fasting glucose, fasting insulin, and glycated hemoglobin. The inverse variance-weighted method was used for the primary analysis. Pleiotropy was assessed using the Mendelian randomization-Egger intercept and Mendelian randomization-PRESSO methods. Sensitivity analyses were performed using the leave-one-out approach and Cochran's Q test to ensure robustness of the findings.ResultsType 2 diabetes mellitus was significantly associated with both the frailty index (β = 0.029, 95% confidence interval: 0.014-0.043, p

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2FrailtyBlood GlucoseFemaleGenome-Wide Association StudyGlycated HemoglobinHumansMaleMendelian Randomization AnalysisPhenotypePolymorphism, Single NucleotideBlood GlucoseGlycated Hemoglobincausal relationshipfasting blood glucosefasting insulinfrailtyglycosylated hemoglobinMendelian randomizationType 1 diabetestype 2 diabetes

Identifiers

PMID41175419
PMCPMC12580547

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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.