Evidence map›Paper›PMID 41565714›Full record

ArticleNPJ Parkinson's disease2026

Biological aging predicts mortality in Parkinson's patients: evidence from UK Biobank.

Qing-Qing Duan, Wei-Ming Su, Kang-Fu Yin, Sheng-Yi He, Ru-Yin Liu, Xiang-Jin Wen, Xiao-Jing Gu, Ting Chen, Bei Cao, Yong-Ping Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ Parkinson's disease, 2026. 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
–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

1 citing paper in PubMed.

  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

10 authors.

Qing-Qing DuanDepartment of Neurology and Institute of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wei-Ming SuDepartment of Neurology and Institute of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Kang-Fu YinDepartment of Neurology and Institute of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Sheng-Yi HeDepartment of Neurology and Institute of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ru-Yin LiuDepartment of Neurology and Institute of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiang-Jin WenDepartment of Neurology and Institute of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiao-Jing GuMental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ting ChenDepartment of Neurology and Institute of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Bei CaoDepartment of Neurology and Institute of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yong-Ping ChenDepartment of Neurology and Institute of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. yongping.chen@wchscu.edu.cn.

Funding

1·3·5 project for disciplines of excellence-Clinical Research Fund, West China Hospital, Sichuan University 2023HXFH032National Key Research and Development Program of China 2022YFC2703101Science and Technology Bureau Fund of Sichuan Province 2023YFS0269
6 · The paper itself

Abstract

Accelerated biological aging serves as a risk factor for age-related diseases, its role in the prognosis of PD remains ambiguous. This study investigates the association between biological aging and the mortality in PD patients. Data were sourced from the UK Biobank. Independent prognostic factors for mortality in PD patients were assessed by Cox regression model, and a nomogram was developed to predict the survival of PD patients. A total of 569 PD patients were enrolled in this study. Phenotypic age (PhenoAge) and PhenoAge acceleration (PhenoAgeAccel) were found to affect the survival in PD patients. Independent risk factors for PD mortality included age, male gender, smoke, underweight, depressive mood, low-density lipoprotein, and higher genetic susceptibility. The nomogram constructed based on PhenoAge showed robust prediction performance for mortality in PD patients. PhenoAge emerges as a pivotal PD mortality predictor, enabling the identification of individuals experiencing accelerated biological aging and implementing targeted interventions.

Identifiers

PMID41565714
PMCPMC12923566

What OpenQuestion 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 OpenQuestion graph.