Evidence map›Paper›PMID 29138179›Full record

Observational studyJournal of the American Heart Association2017

Association Between Leukocyte Telomere Length and the Risk of Incident Atrial Fibrillation: The Framingham Heart Study.

Laila Staerk, Biqi Wang, Kathryn L Lunetta, Robert H Helm, Darae Ko, Jason A Sherer, Patrick T Ellinor, Steven A Lubitz, David D McManus, Ramachandran S Vasan and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2017. 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
–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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Hemodynamic characteristics and early warnings in very old patients.American journal of translational research · 2021
    Review
  13. Long noncoding RNA in cardiac aging and disease.Journal of molecular cell biology · 2019
    Review
  14. Article
  15. 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

12 authors.

Laila StaerkDepartment of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Helleup, Denmark.
Biqi WangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA.
Kathryn L LunettaNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
Robert H HelmSection of Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA.
Darae KoCardiology and Preventive Medicine Sections, Evans Department of Medicine, Boston University School of Medicine, Boston, MA.
Jason A ShererDepartment of Medicine, Boston University School of Medicine, Boston, MA.
Patrick T EllinorCardiac Arrhythmia Service, Massachusetts General Hospital, Boston, MA.
Steven A LubitzCardiac Arrhythmia Service, Massachusetts General Hospital, Boston, MA.
David D McManusCardiology Division, Department of Medicine, University of Massachusetts Medical School, Worchester, MA.
Ramachandran S VasanNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
Emelia J BenjaminNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
Ludovic TrinquartDepartment of Biostatistics, Boston University School of Public Health, Boston, MA ludovic@bu.edu.

Funding

IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
Atrial Fibrillation: Bridging genetic discovery and clinical associationsK23HL114724 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI LUBITZ, STEVEN A · 2013 to 2017
$893k
6 · The paper itself

Abstract

backgroundAdvancing age is a prominent risk factor for atrial fibrillation (AF). Shorter telomere length is a biomarker of biological aging, but the link between shorter telomere length and increased risk of AF remains unclear. We examined the association between shorter leukocyte telomere length (LTL) and incident AF. METHODS AND

resultsWe included AF-free participants from the observational Framingham Heart Study Offspring cohort from 1995 to 1998, who had LTL measurements. We examined the association between baseline LTL and incident AF with multivariable Cox models adjusted for age, sex, current smoking, height, weight, systolic and diastolic blood pressure, use of antihypertensive medication, diabetes mellitus, history of myocardial infarction, and history of heart failure. The study sample comprised 1143 AF-free participants (52.8% women), with mean age of 60±8 years. The mean LTL at baseline was 6.95±0.57 kb. During 15.1±4.2 years mean follow-up, 184 participants (64 women) developed AF. Chronological age was associated with increased risk of AF (hazard ratio per 10-year increase, 2.16; 95% confidence interval, 1.71-2.72). There was no significant association between LTL and incident AF (hazard ratio per 1 SD decrease LTL, 1.01; 95% confidence interval, 0.86-1.19). Our study was observational in nature; hence, we could not exclude residual confounding and we were unable to establish causal pathways.

conclusionsIn our moderate-sized community-based cohort, we did not find evidence for a significant association between LTL and risk of incident AF.

Indexed as

Atrial FibrillationBlotting, SouthernFemaleFollow-Up StudiesHumansIncidenceLeukocytesMaleMassachusettsMiddle AgedRetrospective StudiesRisk AssessmentTelomereTelomere Homeostasisagingatrial fibrillationbiomarkerepidemiologytelomere genetics

Identifiers

PMID29138179
PMCPMC5721755

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.