Evidence map›Paper›PMID 41670794›Full record

ArticleJournal of neurology2026

Association between leukocyte telomere length and neurodegenerative diseases: a prospective cohort in the UK Biobank.

Xiangting Chen, Yueqing Huang, Chunhua Zhao, Min Huang

Abstract read
In one paragraph

Article in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

4 authors.

Xiangting ChenDepartment of General Medicine, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, No. 26 Daoqian Street, Suzhou, 215001, Jiangsu, China.
Yueqing HuangDepartment of General Medicine, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, No. 26 Daoqian Street, Suzhou, 215001, Jiangsu, China.
Chunhua ZhaoMedical Big Data Center, Department of General Medicine, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, No. 26 Daoqian Street, Suzhou, 215001, Jiangsu, China.
Min HuangDepartment of General Medicine, Suzhou Municipal Hospital, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, No. 26 Daoqian Street, Suzhou, 215001, Jiangsu, China. szhuangmin@126.com.

Funding

Jiangsu Provincial Health Commission Key Medical projects K2023014Jiangsu Provincial Medical Key Discipline ZDXK202252Suzhou Gusu Health Talent Plan Talent Research Project GSWS2022068
6 · The paper itself

Abstract

backgroundThis study aims to investigate the association between leukocyte telomere length (LTL) and the risk of incident NDDs using a large-scale cohort from the UK Biobank.

methodsData from 459,902 subjects were analyzed using Cox proportional hazards models and machine learning (ML) algorithms to assess LTL's association with NDD risk.

resultsShorter LTL was associated with an increased risk of NDDs, including Alzheimer's disease (HR: 0.52, 95% CI 0.40-0.67, P < 0.001), dementia in AD (HR: 0.53, 95% CI 0.39-0.73, P < 0.001), unspecified dementia (HR: 0.74, 95% CI 0.58-0.95, P < 0.05), degenerative diseases of the nervous system (including other specified degenerative diseases such as circumscribed brain atrophy and senile degeneration of the brain) (HR: 0.62, 95% CI 0.45-0.84, P < 0.01), extrapyramidal and movement disorders (including other specified extrapyramidal and movement disorders such as a range of tremors, chorea, tics, and other abnormal involuntary movements) (HR: 0.63, 95% CI 0.48-0.82, P < 0.01), and mental and behavioral disorders due to use of alcohol (HR: 0.46, 95% CI 0.38-0.55, P < 0.001). Conversely, longer LTL was associated with a 3.71-fold increased risk of multiple sclerosis (MS) (HR: 3.71, 95% CI 1.91-7.18, P < 0.001). ML models confirmed the predictive value of LTL for NDDs.

conclusionShorter LTL increased the risk of several NDDs, while longer LTL paradoxically predisposed individuals to MS, especially in younger populations. ML models demonstrated strong potential for predicting NDD risks, enhancing our understanding of the role of telomeres in neurodegeneration.

Indexed as

LeukocytesNeurodegenerative DiseasesTelomereAgedBiological Specimen BanksCohort StudiesFemaleHumansMachine LearningMaleMiddle AgedProspective StudiesUK BiobankUnited KingdomLeukocyte telomere lengthMachine learningNeurodegenerative diseasesProspective cohort study

Identifiers

PMID41670794
PMCPMC12894432

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.