Evidence map›Paper›PMID 27930697›Full record

Trial reportPloS one2016

Early Antenatal Prediction of Gestational Diabetes in Obese Women: Development of Prediction Tools for Targeted Intervention.

Sara L White, Debbie A Lawlor, Annette L Briley, Keith M Godfrey, Scott M Nelson, Eugene Oteng-Ntim, Stephen C Robson, Naveed Sattar, Paul T Seed, Matias C Vieira and 5 more

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 6 pooled it
9.0field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 6 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Association between maternal adiposity measures and adverse maternal outcomes of pregnancy: Systematic review and meta-analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Pooled it
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  7. Trial
  8. Trial
  9. Article
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  12. Review
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  16. Review
  17. A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Pregnant Chinese Women.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
    Article
  18. Article
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  20. Observational
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

15 authors at 6 institutions in 1 country.

Sara L WhiteDivision of Women's Health, King's College London, London, United Kingdom.
Debbie A LawlorMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.
Annette L BrileyDivision of Women's Health, King's College London, London, United Kingdom.
Keith M GodfreyMRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, United Kingdom.ORCID http://orcid.org/0000-0002-4643-0618
Scott M NelsonSchool of Medicine, University of Glasgow, Glasgow, United Kingdom.
Eugene Oteng-NtimDivision of Women's Health, King's College London, London, United Kingdom.
Stephen C RobsonInstitute of Cellular Medicine, Uterine Cell Signalling Group, Newcastle University, Newcastle Upon Tyne, United Kingdom.ORCID http://orcid.org/0000-0001-7897-7987
Naveed SattarInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom.
Paul T SeedDivision of Women's Health, King's College London, London, United Kingdom.
Matias C VieiraDivision of Women's Health, King's College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-8076-4275
Paul WelshInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom.
Melissa WhitworthMaternity Services, Central Manchester University Hospitals NHS Foundation Trust, Manchester, United Kingdom.
Lucilla PostonDivision of Women's Health, King's College London, London, United Kingdom.
Dharmintra PasupathyDivision of Women's Health, King's College London, London, United Kingdom.
UPBEAT Consortium
King's College London · GBUniversity of Glasgow · GBNewcastle University · GBUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Bristol · GBUniversity of Manchester · GB

Funding

Chief Scientist Office CZB/4/680Department of Health RP-PG-0407-10452Diabetes UK 14/0004849Medical Research Council MC_U147574222Medical Research Council MC_U147574226Medical Research Council MC_UP_A620_1017Medical Research Council MC_UU_12011/4Medical Research Council MR/L002477/1
6 · The paper itself

Abstract

All obese women are categorised as being of equally high risk of gestational diabetes (GDM) whereas the majority do not develop the disorder. Lifestyle and pharmacological interventions in unselected obese pregnant women have been unsuccessful in preventing GDM. Our aim was to develop a prediction tool for early identification of obese women at high risk of GDM to facilitate targeted interventions in those most likely to benefit. Clinical and anthropometric data and non-fasting blood samples were obtained at 15+0-18+6 weeks' gestation in 1303 obese pregnant women from UPBEAT, a randomised controlled trial of a behavioural intervention. Twenty one candidate biomarkers associated with insulin resistance, and a targeted nuclear magnetic resonance (NMR) metabolome were measured. Prediction models were constructed using stepwise logistic regression. Twenty six percent of women (n = 337) developed GDM (International Association of Diabetes and Pregnancy Study Groups criteria). A model based on clinical and anthropometric variables (age, previous GDM, family history of type 2 diabetes, systolic blood pressure, sum of skinfold thicknesses, waist:height and neck:thigh ratios) provided an area under the curve of 0.71 (95%CI 0.68-0.74). This increased to 0.77 (95%CI 0.73-0.80) with addition of candidate biomarkers (random glucose, haemoglobin A1c (HbA1c), fructosamine, adiponectin, sex hormone binding globulin, triglycerides), but was not improved by addition of NMR metabolites (0.77; 95%CI 0.74-0.81). Clinically translatable models for GDM prediction including readily measurable variables e.g. mid-arm circumference, age, systolic blood pressure, HbA1c and adiponectin are described. Using a ≥35% risk threshold, all models identified a group of high risk obese women of whom approximately 50% (positive predictive value) later developed GDM, with a negative predictive value of 80%. Tools for early pregnancy identification of obese women at risk of GDM are described which could enable targeted interventions for GDM prevention in women who will benefit the most.

Indexed as

AdultDiabetes, GestationalFemaleHumansObesityPregnancyProspective Studies

Identifiers

PMID27930697
PMCPMC5145208
OpenAlexW2559820378

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.