Evidence map›Paper›PMID 30396349›Full record

ArticleBMC medicine2018

Gestational diabetes and ultrasound-assessed fetal growth in South Asian and White European women: findings from a prospective pregnancy cohort.

Judith S Brand, Jane West, Derek Tuffnell, Philippa K Bird, John Wright, Kate Tilling, Debbie A Lawlor

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Judith S BrandMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Jane WestBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK.
Derek TuffnellBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK.
Philippa K BirdBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK.
John WrightBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK.
Kate TillingMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Debbie A LawlorMRC Integrative Epidemiology Unit, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK. d.a.lawlor@bristol.ac.uk.
Bradford Royal Infirmary · GBAt Bristol · GBUniversity of Bristol · GB

Funding

Metabolomic and Epigenomic Mechanisms in Developmental Overnutrition.R01DK103246 · NIDDK · UNIVERSITY OF BRISTOL · PI LAWLOR, DEBORAH ANNE · 2014 to 2018
$2.2M
British Heart Foundation CS/16/4/32482Department of Health NF-SI-0611-10196Medical Research Council MC_UU_12013/5Medical Research Council MR/K006665/1Medical Research Council MR/K021656/1Medical Research Council MR/N024397/1NIDDK NIH HHS R01 DK103246NIH HHS R01 DK10324Wellcome TrustWellcome Trust WT101597MA
6 · The paper itself

Abstract

backgroundMaternal gestational diabetes (GDM) is an established risk factor for large size at birth, but its influence on intrauterine fetal growth in different ethnic populations is less well understood. Here, we examine the joint associations of GDM and ethnicity with longitudinal fetal growth in South Asian and White European origin women.

methodsThis study included 10,705 singletons (4747 White European and 5958 South Asian) from a prospective cohort of women attending an antenatal clinic in Bradford, in the North of England. All women completed a 75-g oral glucose tolerance test at 26-28 weeks' gestation. Ultrasound measurements of fetal head circumference (HC), femur length (FL) abdominal circumference (AC), and estimated fetal weight (EFW), and corresponding anthropometric measurements at birth were used to derive fetal growth trajectories. Associations of GDM and ethnicity with these trajectories were assessed using multilevel fractional polynomial models.

resultsEight hundred thirty-two pregnancies (7.8%) were affected by GDM: 10.4% of South Asians and 4.4% of White Europeans. GDM was associated with a smaller fetal size in early pregnancy [differences (95% CI) in mean HC at 12 weeks and mean AC and EFW at 16 weeks comparing fetuses exposed to GDM to fetuses unexposed (reference) = - 1.8 mm (- 2.6; - 1.0), - 1.7 mm (- 2.5; - 0.9), and - 6 g (- 10; - 2)] and a greater fetal size from 24 weeks' gestation through to term [differences (95% CI) in mean HC, AC, and EFW comparing fetuses exposed to GDM to those unexposed = 0.9 mm (0.3; 1.4), 0.9 mm (0.2; 1.7), and 7 g (0; 13) at 24 weeks]. Associations of GDM with fetal growth were of similar magnitude in both ethnic groups. Growth trajectories, however, differed by ethnicity with South Asians being smaller than White Europeans irrespective of GDM status. Consequently, South Asian fetuses exposed to GDM were smaller across gestation than fetuses of White Europeans without GDM.

conclusionsIn both ethnic groups, GDM is associated with early fetal size deviations prior to GDM diagnosis, highlighting the need for novel strategies to diagnose pregnancy hyperglycemia earlier than current methods. Our findings also suggest that ethnic-specific fetal growth criteria are important in identifying hyperglycemia-associated pathological effects.

Indexed as

Diabetes, GestationalFetal DevelopmentAdultAsian PeopleBirth WeightCohort StudiesEnglandFemaleFetal WeightHumansPregnancyProspective StudiesUltrasonography, PrenatalWhite PeopleEthnicityFetal growthGestational diabetesLongitudinal trajectory analysis

Identifiers

PMID30396349
PMCPMC6219043
OpenAlexW2899673389

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.