Literature DB >> 28771289

Screening for gestational diabetes mellitus based on different risk profiles and settings for improving maternal and infant health.

Joanna Tieu1, Andrew J McPhee, Caroline A Crowther, Philippa Middleton, Emily Shepherd.   

Abstract

BACKGROUND: Gestational diabetes mellitus (GDM) is a form of diabetes that occurs in pregnancy. Although GDM usually resolves following birth, it is associated with significant morbidities for mothers and their infants in the short and long term. There is strong evidence to support treatment for GDM. However, there is uncertainty as to whether or not screening all pregnant women for GDM will improve maternal and infant health and if so, the most appropriate setting for screening. This review updates a Cochrane Review, first published in 2010, and subsequently updated in 2014.
OBJECTIVES: To assess the effects of screening for gestational diabetes mellitus based on different risk profiles and settings on maternal and infant outcomes. SEARCH
METHODS: We searched Cochrane Pregnancy and Childbirth's Trials Register (31 January 2017), ClinicalTrials.gov, the WHO International Clinical Trials Registry Platform (ICTRP) (14 June 2017), and reference lists of retrieved studies. SELECTION CRITERIA: We included randomised and quasi-randomised trials evaluating the effects of different protocols, guidelines or programmes for screening for GDM based on different risk profiles and settings, compared with the absence of screening, or compared with other protocols, guidelines or programmes for screening. We planned to include trials published as abstracts only and cluster-randomised trials, but we did not identify any. Cross-over trials are not eligible for inclusion in this review. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed study eligibility, extracted data and assessed the risk of bias of the included trials. We resolved disagreements through discussion or through consulting a third reviewer. MAIN
RESULTS: We included two trials that randomised 4523 women and their infants. Both trials were conducted in Ireland. One trial (which quasi-randomised 3742 women, and analysed 3152 women) compared universal screening versus risk factor-based screening, and one trial (which randomised 781 women, and analysed 690 women) compared primary care screening versus secondary care screening. We were not able to perform meta-analyses due to the different interventions and comparisons assessed.Overall, there was moderate to high risk of bias due to one trial being quasi-randomised, inadequate blinding, and incomplete outcome data in both trials. We used GRADEpro GDT software to assess the quality of the evidence for selected outcomes for the mother and her child. Evidence was downgraded for study design limitations and imprecision of effect estimates. Universal screening versus risk-factor screening (one trial) MotherMore women were diagnosed with GDM in the universal screening group than in the risk-factor screening group (risk ratio (RR) 1.85, 95% confidence interval (CI) 1.12 to 3.04; participants = 3152; low-quality evidence). There were no data reported under this comparison for other maternal outcomes including hypertensive disorders of pregnancy, caesarean birth, perineal trauma, gestational weight gain, postnatal depression, and type 2 diabetes. ChildNeonatal outcomes: large-for-gestational age, perinatal mortality, mortality or morbidity composite, hypoglycaemia; and childhood/adulthood outcomes: adiposity, type 2 diabetes, and neurosensory disability, were not reported under this comparison. Primary care screening versus secondary care screening (one trial) MotherThere was no clear difference between the primary care and secondary care screening groups for GDM (RR 0.91, 95% CI 0.50 to 1.66; participants = 690; low-quality evidence), hypertension (RR 1.41, 95% CI 0.77 to 2.59; participants = 690; low-quality evidence), pre-eclampsia (RR 0.80, 95% CI 0.36 to 1.78; participants = 690;low-quality evidence), or caesarean section birth (RR 1.00, 95% CI 0.80 to 1.27; participants = 690; low-quality evidence). There were no data reported for perineal trauma, gestational weight gain, postnatal depression, or type 2 diabetes. ChildThere was no clear difference between the primary care and secondary care screening groups for large-for-gestational age (RR 1.37, 95% CI 0.96 to 1.96; participants = 690; low-quality evidence), neonatal complications: composite outcome, including: hypoglycaemia, respiratory distress, need for phototherapy, birth trauma, shoulder dystocia, five minute Apgar less than seven at one or five minutes, prematurity (RR 0.99, 95% CI 0.57 to 1.71; participants = 690; low-quality evidence), or neonatal hypoglycaemia (RR 1.10, 95% CI 0.28 to 4.38; participants = 690; very low-quality evidence). There was one perinatal death in the primary care screening group and two in the secondary care screening group (RR 1.10, 95% CI 0.10 to 12.12; participants = 690; very low-quality evidence). There were no data for neurosensory disability, or childhood/adulthood adiposity or type 2 diabetes. AUTHORS'
CONCLUSIONS: There are insufficient randomised controlled trial data evaluating the effects of screening for GDM based on different risk profiles and settings on maternal and infant outcomes. Low-quality evidence suggests universal screening compared with risk factor-based screening leads to more women being diagnosed with GDM. Low to very low-quality evidence suggests no clear differences between primary care and secondary care screening, for outcomes: GDM, hypertension, pre-eclampsia, caesarean birth, large-for-gestational age, neonatal complications composite, and hypoglycaemia.Further, high-quality randomised controlled trials are needed to assess the value of screening for GDM, which may compare different protocols, guidelines or programmes for screening (based on different risk profiles and settings), with the absence of screening, or with other protocols, guidelines or programmes. There is a need for future trials to be sufficiently powered to detect important differences in short- and long-term maternal and infant outcomes, such as those important outcomes pre-specified in this review. As only a proportion of women will be diagnosed with GDM in these trials, large sample sizes may be required.

Entities:  

Mesh:

Year:  2017        PMID: 28771289      PMCID: PMC6483271          DOI: 10.1002/14651858.CD007222.pub4

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  83 in total

1.  Jelly-beans, only a colourful distraction from gestational glucose-challenge tests.

Authors:  A Dornhorst; G Frost
Journal:  Lancet       Date:  2000-02-26       Impact factor: 79.321

2.  A comparison between a 75-g and 100-g oral glucose tolerance test in pregnant women.

Authors:  S Soonthornpun; K Soonthornpun; J Aksonteing; A Thamprasit
Journal:  Int J Gynaecol Obstet       Date:  2003-05       Impact factor: 3.561

Review 3.  Screening for gestational diabetes: a systematic review and economic evaluation.

Authors:  D A Scott; E Loveman; L McIntyre; N Waugh
Journal:  Health Technol Assess       Date:  2002       Impact factor: 4.014

4.  [Post-prandial plasma glucose test as screening tool for gestational diabetes: A prospective randomized trial].

Authors:  S Hidar; A Chaïeb; S Baccouche; S Laradi; M Fkih; A Milled; H Khaïri
Journal:  J Gynecol Obstet Biol Reprod (Paris)       Date:  2001-06

5.  A double-blind, randomised, cross-over study comparing the 50g OGTT and the 75g OGTT for pregnant women in the third trimester.

Authors:  L C Cheng; Y M Salmon; C Chen
Journal:  Ann Acad Med Singapore       Date:  1992-11       Impact factor: 2.473

Review 6.  Elective delivery in diabetic pregnant women.

Authors:  M Boulvain; C Stan; O Irion
Journal:  Cochrane Database Syst Rev       Date:  2001

7.  Jelly beans as an alternative to a fifty-gram glucose beverage for gestational diabetes screening.

Authors:  M E Lamar; T J Kuehl; A T Cooney; L J Gayle; S Holleman; S R Allen
Journal:  Am J Obstet Gynecol       Date:  1999-11       Impact factor: 8.661

8.  A randomized controlled trial using glycemic plus fetal ultrasound parameters versus glycemic parameters to determine insulin therapy in gestational diabetes with fasting hyperglycemia.

Authors:  S L Kjos; U Schaefer-Graf; S Sardesi; R K Peters; A Buley; A H Xiang; J D Bryne; C Sutherland; M N Montoro; T A Buchanan
Journal:  Diabetes Care       Date:  2001-11       Impact factor: 19.112

9.  Universal vs. risk factor-based screening for gestational diabetes mellitus: detection rates, gestation at diagnosis and outcome.

Authors:  M E Griffin; M Coffey; H Johnson; P Scanlon; M Foley; J Stronge; N M O'Meara; R G Firth
Journal:  Diabet Med       Date:  2000-01       Impact factor: 4.359

Review 10.  Gestational diabetes and the incidence of type 2 diabetes: a systematic review.

Authors:  Catherine Kim; Katherine M Newton; Robert H Knopp
Journal:  Diabetes Care       Date:  2002-10       Impact factor: 19.112

View more
  17 in total

Review 1.  Is there a connection between gestational diabetes mellitus, human immunodeficiency virus infection, and tuberculosis?

Authors:  M Alexander; A Gupta; J S Mathad
Journal:  Int J Tuberc Lung Dis       Date:  2019-01-01       Impact factor: 2.373

2.  Recurrent gestational diabetes : Breaking the transgenerational cycle with lifestyle modification.

Authors:  Thomas Liney; Nishel M Shah; Natasha Singh
Journal:  Wien Klin Wochenschr       Date:  2022-02-11       Impact factor: 1.704

Review 3.  Treatments for gestational diabetes.

Authors:  Nisreen Alwan; Derek J Tuffnell; Jane West
Journal:  Cochrane Database Syst Rev       Date:  2009-07-08

4.  Universal vs. risk-factor-based screening for gestational diabetes-an analysis from a 5-Year Portuguese Cohort.

Authors:  Claudia Matta-Coelho; Ana Margarida Monteiro; Vera Fernandes; Maria Lopes Pereira; Selma B Souto
Journal:  Endocrine       Date:  2018-09-25       Impact factor: 3.633

5.  Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gestational diabetes mellitus.

Authors:  Varun Alur; Varshita Raju; Basavaraj Vastrad; Anandkumar Tengli; Chanabasayya Vastrad; Shivakumar Kotturshetti
Journal:  Biosci Rep       Date:  2021-05-28       Impact factor: 3.840

6.  Antenatal interventions for preventing stillbirth, fetal loss and perinatal death: an overview of Cochrane systematic reviews.

Authors:  Erika Ota; Katharina da Silva Lopes; Philippa Middleton; Vicki Flenady; Windy Mv Wariki; Md Obaidur Rahman; Ruoyan Tobe-Gai; Rintaro Mori
Journal:  Cochrane Database Syst Rev       Date:  2020-12-18

7.  Gestational Diabetes - Major New Clinically Relevant Aspects.

Authors:  Ute Margaretha Schäfer-Graf
Journal:  Geburtshilfe Frauenheilkd       Date:  2018-10-19       Impact factor: 2.915

8.  Relationship between the IADPSG-criteria-defined abnormal glucose values and adverse pregnancy outcomes among women having gestational diabetes mellitus: A retrospective cohort study.

Authors:  Ting-Ting Ding; Jie Xiang; Bi-Ru Luo; Juan Hu
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

9.  Clinical practice of diabetic pregnancy screening in Asia-Pacific Countries: a survey review.

Authors:  Ling-Jun Li; Qi Yu; Kok Hian Tan
Journal:  Acta Diabetol       Date:  2019-04-06       Impact factor: 4.280

10.  Interventions during pregnancy to prevent preterm birth: an overview of Cochrane systematic reviews.

Authors:  Nancy Medley; Joshua P Vogel; Angharad Care; Zarko Alfirevic
Journal:  Cochrane Database Syst Rev       Date:  2018-11-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.