Evidence map›Paper›PMID 37172909›Full record

SynthesisAgeing research reviews2023

A review and meta-analysis: Cross-tissue telomere length correlations in healthy humans.

Lauren W Y McLester-Davis, Pedro Estrada, Waylon J Hastings, Leila A Kataria, Noelle A Martin, Joshua T Siebeneicher, Renee I Tristano, Celia V Mayne, Raquel P Horlick, Samantha S O'Connell and 1 more

Abstract readMeta-AnalysisReview
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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Practitioner Review: Infant mental health meets cell and molecular biology - a look to the future.Journal of child psychology and psychiatry, and allied disciplines · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. 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

11 authors.

Lauren W Y McLester-DavisTulane University Tulane Brain Institute, United States.
Pedro EstradaPrinceton University Graduate School Neuroscience Institute, United States. Electronic address: pestrada@tulane.edu.
Waylon J HastingsTulane University School of Medicine, United States. Electronic address: whastings1@tulane.edu.
Leila A KatariaLouisiana State University School of Medicine, United States. Electronic address: lkataria@tulane.edu.
Noelle A MartinTulane University School of Science and Engineering, United States. Electronic address: nmartin9@tulane.edu.
Joshua T SiebeneicherTulane University School of Science and Engineering, United States. Electronic address: jsiebeneicher@tulane.edu.
Renee I TristanoUniversity of Chicago Pritzker School of Medicine, United States. Electronic address: renee.tristano@uchicagomedicine.org.
Celia V MayneTulane University School of Medicine, United States. Electronic address: cmayne@tulane.edu.
Raquel P HorlickTulane University Libraries, United States. Electronic address: rhorlick@tulane.edu.
Samantha S O'ConnellLouisiana State University School of Medicine, United States; Tulane University School of Public Health and Tropical Medicine, United States. Electronic address: soconne1@tulane.edu.
Stacy S DruryTulane University School of Medicine, United States. Electronic address: sdrury@tulane.edu.

Funding

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
NIA NIH HHS U24 AG066528
6 · The paper itself

Abstract

BACKGROUND AND

aimTissue source has been shown to exert a significant effect on the magnitude of associations between telomere length and various health outcomes and exposures. The purpose of the present qualitative review and meta-analysis is to describe and investigate the impact of study design and methodological features on the correlation between telomere lengths measured in different tissues from the same healthy individual.

methodsThis meta-analysis included studies published from 1988 to 2022. Databases searched included PubMed, Embase, and Web of Science and studies were identified using the keywords "telomere length" and "tissues" or "tissue." A total of 220 articles of 7856 initially identified studies met inclusion criteria for qualitative review, of which 55 met inclusion criteria for meta-analysis in R

resultsStudies meeting inclusion criteria for meta-analysis tended to have enhanced demographic and methodological reporting relative to studies only included in the qualitative review. A total of 463 pairwise correlations reported for 4324 unique individuals and 102 distinct tissues were extracted from the 55 studies and subject to meta-analysis, resulting in a significant effect size z = 0.66 (p < 0.0001) and meta-correlation coefficient of r = 0.58. Meta-correlations were significantly moderated by sample size and telomere length measurement methodology, with studies of smaller size and those using hybridization-based analyses exhibiting the largest meta-correlation. Tissue source also significantly moderated the meta-correlation, wherein correlations between samples of a different lineage (e.g., blood vs. non-blood) or collection method (e.g., peripheral vs. surgical) were lower than correlations between samples of the same lineage or collection method.

conclusionThese results suggest that telomere lengths measured within individuals are generally correlated, but future research should be intentional in selecting a tissue for telomere length measurement that is most biologically relevant to the exposure or outcome investigated and balance this with the feasibility of obtaining the sample in sufficient numbers of individuals.

Indexed as

TelomereDatabases, FactualHumansCorrelationMeta-analysisTelomere lengthTelomere(s)Tissue(s)

Identifiers

PMID37172909
PMCPMC11081027

What OpenQuestion holds

Textmetadata
LicenceTDM
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.