Evidence map›Paper›PMID 37567392›Full record

SynthesisAgeing research reviews2023

Telomere length and chronological age across the human lifespan: A systematic review and meta-analysis of 414 study samples including 743,019 individuals.

Qiaofeng Ye, Abner T Apsley, Laura Etzel, Waylon J Hastings, John T Kozlosky, Cade Walker, Sarah E Wolf, Idan Shalev

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Ageing research reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

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

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  8. Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026
    Review
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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.

Qiaofeng YeDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: qfy5049@psu.edu.
Abner T ApsleyDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA; Department of Molecular, Cellular and Integrative Biological Sciences, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: ata5287@psu.edu.
Laura EtzelDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: lauraetzel@psu.edu.
Waylon J HastingsDepartment of Psychiatry and Behavioral Science, Tulane University School of Medicine, LA 70112, USA. Electronic address: whastings2012@gmail.com.
John T KozloskyDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: jmk6869@psu.edu.
Cade WalkerDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: cmw6620@psu.edu.
Sarah E WolfDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: wolfs4e@gmail.com.
Idan ShalevDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802, USA. Electronic address: ius14@psu.edu.

Funding

Psychosocial Determinants and Biological Pathway to Healthy Aging (Pathways)T32AG049676 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LYNN M. MARTIRE · 2016 to 2026
$3.9M
Elucidating the measurement of telomeres: Development of a transdisciplinary, high-impact Telomere Research NetworkU24AG066528 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI DRURY, STACY SCHMIDT · 2019 to 2023
$3.0M
The Comparability and Reproducibility of Telomere Length Measurements for Population-based StudiesU01ES030949 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI SHALEV, IDAN · 2019 to 2021
$948k
NIA NIH HHS T32 AG049676NIA NIH HHS U24 AG066528NIEHS NIH HHS U01 ES030949
6 · The paper itself

Abstract

Telomere attrition is a proposed hallmark of aging. To evaluate the association of telomere length (TL) with chronological age across the human lifespan, we conducted a systematic review and meta-analysis of 414 study samples comprising 743,019 individuals aged 0-112 years. We examined both cross-sectional and longitudinal data, and evaluated the impact of various biological and methodological factors including sex, health status, tissue types, DNA extraction procedures, and TL measurement methods. The pooled corrected correlation between TL and age from cross-sectional samples was -0.19 (95%CI: -0.22 to -0.15), which weakened with increased chronological age (β = 0.003, p < 0.001). Z-score change rates of TL across the lifespan showed a gradual decrease in shortening rate until around age 50 and remained at a relatively stable rate towards the elderly period. A greater attrition rate was observed in longitudinal than cross-sectional evaluations. For TL measured in base pairs, the median change rate of TL was -23 bp/year in cross-sectional samples and -38 bp/year in longitudinal samples. Methodological factors including TL measurement methods and tissue types impacted the TL-age correlation, while sex or disease status did not. This meta-analysis revealed the non-linear shortening trend of TL across the human lifespan and provides a reference value for future studies. Results also highlight the importance of methodological considerations when using TL as an aging biomarker.

Indexed as

AgingLongevityTelomereTelomere ShorteningAgedCross-Sectional StudiesHumansHumanMeta-analysisTelomere length

Identifiers

PMID37567392
PMCPMC10529491

What OpenQuestion holds

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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.