Evidence map›Paper›PMID 31230193›Full record

ArticleGeroScience2019

Telomere length and cancer mortality in American Indians: the Strong Heart Study.

Pooja Subedi, Stefano Nembrini, Qiang An, Yun Zhu, Hao Peng, Fawn Yeh, Shelley A Cole, Dorothy A Rhoades, Elisa T Lee, Jinying Zhao

Abstract readMulticenter Study
In one paragraph

Article in GeroScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. 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

10 authors.

Pooja SubediDepartment of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA.
Stefano NembriniDepartment of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA.
Qiang AnDepartment of Orthopaedics and Rehabilitation, University of Iowa Health Care, University of Iowa Hospitals and Clinics, 200 Hawkins Drive, 01066 JPP, Iowa City, IA, 52242, USA.
Yun ZhuDepartment of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA.
Hao PengDepartment of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA.
Fawn YehCollege of Public Health, University of Oklahoma Health Sciences Center, 801 N.E. 13th Street, Oklahoma City, OK, 73104, USA.
Shelley A ColeTexas Biomedical Research Institute, San Antonio, TX, 78245, USA.
Dorothy A RhoadesStephenson Cancer Center, University of Oklahoma Health Sciences Center, 655 Research Parkway, Oklahoma City, OK, 73104, USA.
Elisa T LeeCollege of Public Health, University of Oklahoma Health Sciences Center, 801 N.E. 13th Street, Oklahoma City, OK, 73104, USA.
Jinying ZhaoDepartment of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, 2004 Mowry Road, Gainesville, FL, 32610, USA. jzhao66@ufl.edu.

Funding

CVD in American Indians Biomarker lab and Arizona Field CenterR01HL109319 · NHLBI · MEDSTAR HEALTH RESEARCH INSTITUTE · PI UMANS, JASON G · 2013 to 2017
$3.6M
Telomere attrition and diabetes risk in American IndiansR01DK091369 · NIDDK · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI HE, JIANG · 2011 to 2014
$1.1M
Biological Aging Mitrochondrial Variants and Coronary Artery DiseaseK01AG034259 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ZHAO, JINYING · 2009 to 2012
$525k
Genetic Variations in the HPA Axis and Comorbidity of Depression and CardiovasculR21HL092363 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI LEE, ELISA TAN · 2009 to 2010
$403k
NHLBI NIH HHS R01 HL109319NHLBI NIH HHS R21 HL092363NIA NIH HHS K01 AG034259NIDDK NIH HHS R01 DK091369NIH HHS R01DK091369NIH HHS U01HL41642NIH HHS U01HL41652NIH HHS U01HL41654NIH HHS U01HL65520NIH HHS U01HL65521
6 · The paper itself

Abstract

The objective of this study was to investigate whether leukocyte telomere length (LTL) predicts the risk for cancer mortality among American Indians participating in the Strong Heart Study (1989-1991). Participants (aged 45-74 years) were followed annually until December 2015 to collect information on morbidity/mortality. LTL was measured by qPCR using genomic DNA isolated from peripheral blood. The association between LTL and risk for cancer mortality was examined using a multivariable Cox proportional hazard model, adjusting for age, gender, education, study site, smoking, alcohol use, physical activity, systolic blood pressure, fasting blood glucose, obesity, and low- and high-density lipoprotein. Of 1945 participants (mean age 56.10 ± 8.17 at baseline, 57% women) followed for an average 20.5 years, 220 died of cancer. Results showed that longer LTL at baseline significantly predicts an increased risk of cancer death among females (HR 1.57, 95% CI 1.08-2.30), but not males (HR 0.74, 95% CI 0.49-1.12) (p for interaction 0.009). Specifically, compared with the women with the longest LTL (fourth quartile), those in the third, second, and first quartiles showed 53%, 41%, and 44% reduced risk for cancer death, respectively. The findings highlight the importance of sex-specific analysis in future telomere research.

Indexed as

Indians, North AmericanAgedCardiovascular DiseasesCorrelation of DataDiabetes MellitusFemaleHealth StatusHumansLife StyleLongitudinal StudiesMaleMiddle AgedNeoplasmsProportional Hazards ModelsRiskRisk FactorsAmerican IndiansBiological agingCancer mortalityStrong Heart StudyTelomere length

Identifiers

PMID31230193
PMCPMC6702505

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.