Evidence map›Paper›PMID 31569148›Full record

ArticleEpidemiology (Cambridge, Mass.)2019

A Prospective Study of Leukocyte Telomere Length and Risk of Gestational Diabetes in a Multiracial Cohort.

Yuan Lin, Yeyi Zhu, Jing Wu, Stefanie N Hinkle, Shristi Rawal, Jiali Han, Natalie L Weir, Michael Y Tsai, Cuilin Zhang

Open access · greenAbstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

9 authors at 7 institutions in 1 country.

Yuan LinFrom the Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
Yeyi ZhuDivision of Research, Kaiser Permanente Northern California, Oakland, CA.
Jing WuGlotech, Inc, Rockville, MD.
Stefanie N HinkleFrom the Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
Shristi RawalDepartment of Nutritional Sciences, School of Health Professions, Rutgers University, Newark, NJ.
Jiali HanDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, IN.
Natalie L WeirDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN.
Michael Y TsaiDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN.
Cuilin ZhangFrom the Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD.
Eunice Kennedy Shriver National Institute of Child Health and Human Development · USUniversity of Minnesota · USGlotech (United States) · USIndiana University – Purdue University Indianapolis · USKaiser Permanente · USNational Institutes of Health · USRutgers, The State University of New Jersey · US

Funding

Pathogenesis of Gestational DiabetesZIAHD008887 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YEUNG, EDWINA · 2009 to 2022
$2.3M
Fetal Programming of Growth and Obesity: A Metabolomics ApproachK01DK120807 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI ZHU, YEYI · 2019 to 2022
$699k
Intramural NIH HHS ZIA HD008887NICHD NIH HHS HHSN275200800002CNICHD NIH HHS HHSN275200800002INICHD NIH HHS HHSN275200800003CNICHD NIH HHS HHSN275200800003INICHD NIH HHS HHSN275200800012CNICHD NIH HHS HHSN275200800013CNICHD NIH HHS HHSN275200800014CNICHD NIH HHS HHSN275200800028CNICHD NIH HHS HHSN275201000001GNICHD NIH HHS HHSN275201000001ZNICHD NIH HHS HHSN275201000009C
6 · The paper itself

Abstract

backgroundShort telomere length (TL), an indicator of cellular aging and oxidative stress, has been implicated in glucose homeostasis. Additionally, studies have illustrated that the association of TL with health outcomes may vary by age. Yet, data on the association between TL and gestational diabetes mellitus (GDM) are sparse and the potential effect modification by age remains unknown.

methodsWe prospectively investigated TL in early pregnancy in relation to the subsequent GDM risk in a case-control study of 93 women with GDM and 186 randomly selected controls matched on age, race/ethnicity, and gestational weeks at blood collection. TL was measured using blood samples collected at 10-14 gestational weeks and reported as the T/S ratio, a ratio of telomere repeat length T to copy number of a single copy gene S. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using conditional logistic regression adjusted for major risk factors.

resultsOverall, TL was not significantly associated with GDM risk. The TL-GDM association was significantly modified by age (Pinteraction = 0.02). Shorter TL in early pregnancy was associated with an increased GDM risk among women <30 years old (adjusted OR comparing the shortest vs. longest tertile: 3.1, 95% CI = 1.2, 8.1), but not associated with GDM risk among women ≥30 years.

conclusionOur findings suggest that TL in early pregnancy may be implicated in GDM development, particularly among younger women.

Indexed as

Telomere ShorteningAdolescentAdultCase-Control StudiesDiabetes, GestationalFemaleGestational AgeHumansLogistic ModelsPregnancyProspective StudiesRisk FactorsYoung Adult

Identifiers

PMID31569148
PMCPMC7276843
OpenAlexW2978473942

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.