Evidence map›Paper›PMID 26457543›Full record

ArticleJAMA pediatrics2015

Maternal Midpregnancy Glucose Levels and Risk of Congenital Heart Disease in Offspring.

James R Priest, Wei Yang, Gerald Reaven, Joshua W Knowles, Gary M Shaw

Open access · bronzeAbstract read
In one paragraph

Article in JAMA pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 74 citations in OpenAlex.

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  17. Genetics of atrioventricular canal defects.Italian journal of pediatrics · 2020
    Review
  18. Review
  19. Environmental Risk Factors for Congenital Heart Disease.Cold Spring Harbor perspectives in biology · 2020
    Review
  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

5 authors at 2 institutions in 1 country.

James R PriestStanford Cardiovascular Institute, Division of Pediatric Cardiology, Stanford University School of Medicine, Stanford, California.
Wei YangDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California.
Gerald ReavenStanford Cardiovascular Institute, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
Joshua W KnowlesStanford Cardiovascular Institute, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California.
Gary M ShawDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California.
Stanford University · USCardiovascular Institute of the South · US

Funding

Pediatric Scientist Development Program (PSDP) [K12]K12HD000850 · NICHD · YALE UNIVERSITY · PI Sallie R. Permar · 1987 to 2026
$44.1M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI FUMIHIKO URANO · 2013 to 2026
$27.1M
TRANSGENICS COREP60DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI SCHAFFER, JEAN E. · 1986 to 2012
$25.2M
Gene and Nutrient Etiologies of Human Heart DefectsR01HL085859 · NHLBI · STANFORD UNIVERSITY · PI SHAW, GARY M · 2006 to 2010
$1.7M
Genetic Mechanisms of Congenital Heart DiseaseK99HL130523 · NHLBI · STANFORD UNIVERSITY · PI PRIEST, JAMES R. · 2016 to 2017
$306k
NHLBI NIH HHS HL085859NHLBI NIH HHS K99 HL130523NHLBI NIH HHS R01 HL085859NICHD NIH HHS K12 HD000850NICHD NIH HHS K12-HD000850NIDDK NIH HHS P30 DK020579NIDDK NIH HHS P60-DK20579
6 · The paper itself

Abstract

importanceThere is a well-described association between maternal diabetes mellitus and risk of congenital heart disease (CHD) in offspring. Although the clinical diagnoses of type 2 diabetes or gestational diabetes are strong risk factors for CHD, subclinical abnormalities of glucose and insulin metabolism are common within the general population and could also confer risk for CHD. We hypothesize that continuous measures of blood analytes related to maternal diabetes are related to odds of cardiac malformations.

objectiveTo explore the potential association of 2 different CHD phenotypes in offspring with maternal midpregnancy measures of glucose and insulin. DESIGN, SETTING, AND

participantsCase-control study from a population-based cohort of 277 pregnant women in southern and central California carrying infants with tetralogy of Fallot (TOF) (n = 55), dextrotransposition of the great arteries (dTGA) (n = 42), or healthy infants without CHD (n = 180). Serum samples were collected from 2003 through 2007. The analysis was conducted from March through June 2015. MAIN OUTCOMES AND MEASURES: Blood analytes related to maternal glucose metabolism were measured from random nonfasting second-trimester blood samples. We measured serum insulin levels by a validated radioimmunoassay, and we measured glucose levels. Multivariable logistic regression models estimated the association between these levels and case status.

resultsSerum glucose values were elevated in the maternal samples for offspring with TOF (median, 97.0 mg/dL [to convert to millimoles per liter, multiply by 0.0555]) relative to controls (median, 91.5 mg/dL) (P = .01, Wilcoxon rank sum test), a phenomenon not observed in the maternal samples for offspring with dTGA (median, 90.0 mg/dL) relative to controls (P = .18, Wilcoxon rank sum test). Serum insulin levels were significantly different between controls (median, 18.8 μIU/mL [to convert to picomoles per liter, multiply by 6.945]) and maternal samples for offspring with dTGA (median, 13.1 μIU/mL; P = .048, Wilcoxon rank sum test) but not with TOF (median, 14.3 μIU/mL; P = .35, Wilcoxon rank sum test). Relative to maternal blood glucose levels of infants without cardiac malformations, we observed that maternal blood glucose levels in models including insulin were strongly associated with odds of TOF (adjusted odds ratio = 7.54; 95% CI, 2.30-24.69) but not with dTGA (adjusted odds ratio = 1.16; 95% CI, 0.28-4.79). CONCLUSIONS AND RELEVANCE: These results represent a direct correlation of glucose as a continuous variable to odds of specific cardiac malformations. The association between serum glucose and odds of TOF indicates the need for additional epidemiological and mechanistic investigations into the risk conferred by insulin signaling and glucose metabolism during early pregnancy.

Indexed as

AdultBlood GlucoseCaliforniaCase-Control StudiesDiabetes, GestationalDiabetes Mellitus, Type 2FemaleHeart Defects, CongenitalHumansInsulinOdds RatioPregnancyRisk FactorsYoung AdultBlood GlucoseInsulin

Identifiers

PMID26457543
PMCPMC4996656
OpenAlexW1941532063

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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.