Evidence map›Paper›PMID 33564874›Full record

ArticleAmerican journal of epidemiology2021

Measurement of Telomere Length for Longitudinal Analysis: Implications of Assay Precision.

Daniel Nettle, Shahinaz M Gadalla, Tsung-Po Lai, Ezra Susser, Melissa Bateson, Abraham Aviv

Open access · hybridAbstract readComparative Study
In one paragraph

Article in American journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. The researcher's guide to selecting biomarkers in mental health studies.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024
    Review
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  9. Review
  10. Article
  11. Article
  12. Food insecurity as a cause of adiposity: evolutionary and mechanistic hypotheses.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  13. Article
  14. Article
  15. Healthy Lifestyle Behaviors and Biological Aging in the U.S. National Health and Nutrition Examination Surveys 1999-2018.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Peripheral Blood Telomere Attrition in Persons at Risk for Familial Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2023
    Article
  20. 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

6 authors.

Daniel Nettle
Shahinaz M Gadalla
Tsung-Po Lai
Ezra Susser
Melissa Bateson
Abraham Aviv

Funding

Telomeres and Female FecundityR01HL134840 · NHLBI · RBHS-NEW JERSEY MEDICAL SCHOOL · PI AVIV, ABRAHAM, MAGNUS, PER · 2017 to 2020
$2.6M
Telomere Length Measurements: Strengths and LimitationsU01AG066529 · NIA · RBHS-NEW JERSEY MEDICAL SCHOOL · PI AVIV, ABRAHAM · 2019 to 2021
$911k
NCI NIH HHS 75N910D00024NHLBI NIH HHS R01 HL134840NIA NIH HHS U01 AG066529
6 · The paper itself

Abstract

Researchers increasingly wish to test hypotheses concerning the impact of environmental or disease exposures on telomere length (TL), and they use longitudinal study designs to do so. In population studies, TL is usually measured with a quantitative polymerase chain reaction (qPCR)-based method. This method has been validated by calculating its correlation with a gold standard method such as Southern blotting (SB) in cross-sectional data sets. However, in a cross-section, the range of true variation in TL is large, and measurement error is introduced only once. In a longitudinal study, the target variation of interest is small, and measurement error is introduced at both baseline and follow-up. In this paper, we present results from a small data set (n = 20) in which leukocyte TL was measured twice 6.6 years apart by means of both qPCR and SB. The cross-sectional correlations between qPCR and SB were high at both baseline (r = 0.90) and follow-up (r = 0.85), yet their correlation for TL change was poor (r = 0.48). Moreover, the qPCR data but not the SB data showed strong signatures of measurement error. Through simulation, we show that the statistical power gain from performing a longitudinal analysis is much greater for SB than for qPCR. We discuss implications for optimal study design and analysis.

Indexed as

Correlation of DataTelomereBlotting, SouthernCross-Sectional StudiesHumansLeukocytesLongitudinal StudiesReal-Time Polymerase Chain ReactionReproducibility of ResultsResearch Designassay precisionleukocyte telomere lengthlongitudinal studiesmeasurement errorquantitative polymerase chain reactionSouthern blottelomere lengthterminal restriction fragment

Identifiers

PMID33564874
PMCPMC8245883
OpenAlexW3126699579

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.