Evidence map›Paper›PMID 37490842›Full record

ArticleBrain : a journal of neurology2023

Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings.

Christopher E McMurran, Yunzhang Wang, Jonathan K L Mak, Ida K Karlsson, Bowen Tang, Alexander Ploner, Nancy L Pedersen, Sara Hägg

Open access · hybridAbstract readTwin Study
In one paragraph

Article in Brain : a journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  7. Review
  8. Association of biological age acceleration with poor outcome after endovascular thrombectomy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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

8 authors at 2 institutions in 2 countries.

Christopher E McMurranDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE 171 77, Sweden.ORCID 0000-0002-8710-0930
Yunzhang WangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE 171 77, Sweden.
Jonathan K L MakDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE 171 77, Sweden.ORCID 0000-0003-4454-8580
Ida K KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE 171 77, Sweden.
Bowen TangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE 171 77, Sweden.
Alexander PlonerDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE 171 77, Sweden.ORCID 0000-0002-5042-8326
Nancy L PedersenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE 171 77, Sweden.
Sara HäggDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm SE 171 77, Sweden.ORCID 0000-0002-2452-1500
Karolinska Institutet · SEUniversity of Cambridge · GB

Funding

GENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGINGR01AG010175 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 1992 to 2006
$2.8M
Cholesterol metabolism pathway: Cognitive change and Alzheimer's disease riskR01AG028555 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI REYNOLDS, CHANDRA A · 2007 to 2010
$1.1M
NIA NIH HHS R01 AG010175NIA NIH HHS R01 AG028555NIH HHS R01 AG04563
6 · The paper itself

Abstract

Age is a dominant risk factor for some of the most common neurological diseases. Biological ageing encompasses interindividual variation in the rate of ageing and can be calculated from clinical biomarkers or DNA methylation data amongst other approaches. Here, we tested the hypothesis that a biological age greater than one's chronological age affects the risk of future neurological diagnosis and the development of abnormal signs on clinical examination. We analysed data from the Swedish Adoption/Twin Study of Aging (SATSA): a cohort with 3175 assessments of 802 individuals followed-up over several decades. Six measures of biological ageing were generated: two physiological ages (created from bedside clinical measurements and standard blood tests) and four blood methylation age measures. Their effects on future stroke, dementia or Parkinson's disease diagnosis, or development of abnormal clinical signs, were determined using survival analysis, with and without stratification by twin pairs. Older physiological ages were associated with ischaemic stroke risk; for example one standard deviation advancement in baseline PhenoAgePhys or KDMAgePhys residual increased future ischaemic stroke risk by 29.2% [hazard ratio (HR): 1.29, 95% confidence interval (CI) 1.06-1.58, P = 0.012] and 42.9% (HR 1.43, CI 1.18-1.73, P = 3.1 × 10-4), respectively. In contrast, older methylation ages were more predictive of future dementia risk, which was increased by 29.7% (HR 1.30, CI 1.07-1.57, P = 0.007) per standard deviation advancement in HorvathAgeMeth. Older physiological ages were also positively associated with future development of abnormal patellar or pupillary reflexes, and the loss of normal gait. Measures of biological ageing can predict clinically relevant pathology of the nervous system independent of chronological age. This may help to explain variability in disease risk between individuals of the same age and strengthens the case for trials of geroprotective interventions for people with neurological disorders.

Indexed as

Brain IschemiaDementiaIschemic StrokeStrokeAgingHumansbiological ageingexaminationtwin study

Identifiers

PMID37490842
PMCPMC10690013
OpenAlexW4385253772

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.