Evidence map›Paper›PMID 34266503›Full record

ArticleAlzheimer's research & therapy2021

Short leukocyte telomeres predict 25-year Alzheimer's disease incidence in non-APOE ε4-carriers.

Fernanda Schäfer Hackenhaar, Maria Josefsson, Annelie Nordin Adolfsson, Mattias Landfors, Karolina Kauppi, Magnus Hultdin, Rolf Adolfsson, Sofie Degerman, Sara Pudas

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 44 citations in OpenAlex.

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  6. Shorter Telomere Length in Individuals with Neurocognitive Disorder andInternational journal of molecular sciences · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Fernanda Schäfer HackenhaarDepartment of Integrative Medical Biology, Umeå University, SE-901 87, Umeå, Sweden. fernanda.schafer@umu.se.ORCID http://orcid.org/0000-0002-9395-2216
Maria JosefssonUmeå Center for Functional Brain Imaging, Umeå University, SE-90 187, Umeå, Sweden.
Annelie Nordin AdolfssonDepartment of Clinical Sciences, Umeå University, SE-901 85, Umeå, Sweden.
Mattias LandforsDepartment of Medical Biosciences, Pathology, Umeå University, SE-901 85, Umeå, Sweden.
Karolina KauppiDepartment of Integrative Medical Biology, Umeå University, SE-901 87, Umeå, Sweden.
Magnus HultdinDepartment of Medical Biosciences, Pathology, Umeå University, SE-901 85, Umeå, Sweden.
Rolf AdolfssonDepartment of Clinical Sciences, Umeå University, SE-901 85, Umeå, Sweden.
Sofie DegermanDepartment of Medical Biosciences, Pathology, Umeå University, SE-901 85, Umeå, Sweden.
Sara PudasDepartment of Integrative Medical Biology, Umeå University, SE-901 87, Umeå, Sweden.
Umeå University · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeukocyte telomere length (LTL) has been shown to predict Alzheimer's disease (AD), albeit inconsistently. Failing to account for the competing risks between AD, other dementia types, and mortality, can be an explanation for the inconsistent findings in previous time-to-event analyses. Furthermore, previous studies indicate that the association between LTL and AD is non-linear and may differ depending on apolipoprotein E (APOE) ε4 allele carriage, the strongest genetic AD predictor.

methodsWe analyzed whether baseline LTL in interaction with APOE ε4 predicts AD, by following 1306 initially non-demented subjects for 25 years. Gender- and age-residualized LTL (rLTL) was categorized into tertiles of short, medium, and long rLTLs. Two complementary time-to-event models that account for competing risks were used; the Fine-Gray model to estimate the association between the rLTL tertiles and the cumulative incidence of AD, and the cause-specific hazard model to assess whether the cause-specific risk of AD differed between the rLTL groups. Vascular dementia and death were considered competing risk events. Models were adjusted for baseline lifestyle-related risk factors, gender, age, and non-proportional hazards.

resultsAfter follow-up, 149 were diagnosed with AD, 96 were diagnosed with vascular dementia, 465 died without dementia, and 596 remained healthy. Baseline rLTL and other covariates were assessed on average 8 years before AD onset (range 1-24). APOE ε4-carriers had significantly increased incidence of AD, as well as increased cause-specific AD risk. A significant rLTL-APOE interaction indicated that short rLTL at baseline was significantly associated with an increased incidence of AD among non-APOE ε4-carriers (subdistribution hazard ratio = 3.24, CI 1.404-7.462, P = 0.005), as well as borderline associated with increased cause-specific risk of AD (cause-specific hazard ratio = 1.67, CI 0.947-2.964, P = 0.07). Among APOE ε4-carriers, short or long rLTLs were not significantly associated with AD incidence, nor with the cause-specific risk of AD.

conclusionsOur findings from two complementary competing risk time-to-event models indicate that short rLTL may be a valuable predictor of the AD incidence in non-APOE ε4-carriers, on average 8 years before AD onset. More generally, the findings highlight the importance of accounting for competing risks, as well as the APOE status of participants in AD biomarker research.

Indexed as

Alzheimer DiseaseApolipoprotein E4Apolipoproteins EGenotypeHumansIncidenceLeukocytesRisk FactorsTelomereApolipoprotein E4Apolipoproteins ECompeting risksDeathDementiaLeukocyte telomere lengthRisk factorsTime-to-event analysisVascular dementia

Identifiers

PMID34266503
PMCPMC8283833
OpenAlexW3159544457

What OpenQuestion holds

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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.