Literature DB >> 29081069

Different methods and settings for glucose monitoring for gestational diabetes during pregnancy.

Puvaneswary Raman1, Emily Shepherd, Therese Dowswell, Philippa Middleton, Caroline A Crowther.   

Abstract

BACKGROUND: Incidence of gestational diabetes mellitus (GDM) is increasing worldwide. Blood glucose monitoring plays a crucial part in maintaining glycaemic control in women with GDM and is generally recommended by healthcare professionals. There are several different methods for monitoring blood glucose which can be carried out in different settings (e.g. at home versus in hospital).
OBJECTIVES: The objective of this review is to compare the effects of different methods and settings for glucose monitoring for women with GDM on maternal and fetal, neonatal, child and adult outcomes, and use and costs of health care. SEARCH
METHODS: We searched the Cochrane Pregnancy and Childbirth Group Trials Register (30 September 2016) and reference lists of retrieved studies. SELECTION CRITERIA: Randomised controlled trials (RCTs) or quasi-randomised controlled trials (qRCTs) comparing different methods (such as timings and frequencies) or settings, or both, for blood glucose monitoring for women with GDM. DATA COLLECTION AND ANALYSIS: Two authors independently assessed study eligibility, risk of bias, and extracted data. Data were checked for accuracy.We assessed the quality of the evidence for the main comparisons using GRADE, for:- primary outcomes for mothers: that is, hypertensive disorders of pregnancy; caesarean section; type 2 diabetes; and- primary outcomes for children: that is, large-for-gestational age; perinatal mortality; death or serious morbidity composite; childhood/adulthood neurosensory disability;- secondary outcomes for mothers: that is, induction of labour; perineal trauma; postnatal depression; postnatal weight retention or return to pre-pregnancy weight; and- secondary outcomes for children: that is, neonatal hypoglycaemia; childhood/adulthood adiposity; childhood/adulthood type 2 diabetes. MAIN
RESULTS: We included 11 RCTs (10 RCTs; one qRCT) that randomised 1272 women with GDM in upper-middle or high-income countries; we considered these to be at a moderate to high risk of bias. We assessed the RCTs under five comparisons. For outcomes assessed using GRADE, we downgraded for study design limitations, imprecision and inconsistency. Three trials received some support from commercial partners who provided glucose meters or financial support, or both. Main comparisons Telemedicine versus standard care for glucose monitoring (five RCTs): we observed no clear differences between the telemedicine and standard care groups for the mother, for:- pre-eclampsia or pregnancy-induced hypertension (risk ratio (RR) 1.49, 95% confidence interval (CI) 0.69 to 3.20; 275 participants; four RCTs; very low quality evidence);- caesarean section (average RR 1.05, 95% CI 0.72 to 1.53; 478 participants; 5 RCTs; very low quality evidence); and- induction of labour (RR 1.06, 95% CI 0.63 to 1.77; 47 participants; 1 RCT; very low quality evidence);or for the child, for:- large-for-gestational age (RR 1.41, 95% CI 0.76 to 2.64; 228 participants; 3 RCTs; very low quality evidence);- death or serious morbidity composite (RR 1.06, 95% CI 0.68 to 1.66; 57 participants; 1 RCT; very low quality evidence); and- neonatal hypoglycaemia (RR 1.14, 95% CI 0.48 to 2.72; 198 participants; 3 RCTs; very low quality evidence).There were no perinatal deaths in two RCTs (131 participants; very low quality evidence). Self-monitoring versus periodic glucose monitoring (two RCTs): we observed no clear differences between the self-monitoring and periodic glucose monitoring groups for the mother, for:- pre-eclampsia (RR 0.17, 95% CI 0.01 to 3.49; 58 participants; 1 RCT; very low quality evidence); and- caesarean section (average RR 1.18, 95% CI 0.61 to 2.27; 400 participants; 2 RCTs; low quality evidence);or for the child, for:- perinatal mortality (RR 1.54, 95% CI 0.21 to 11.24; 400 participants; 2 RCTs; very low quality evidence);- large-for-gestational age (RR 0.82, 95% CI 0.50 to 1.37; 400 participants; 2 RCTs; low quality evidence); and- neonatal hypoglycaemia (RR 0.64, 95% CI 0.39 to 1.06; 391 participants; 2 RCTs; low quality evidence). Continuous glucose monitoring system (CGMS) versus self-monitoring of glucose (two RCTs): we observed no clear differences between the CGMS and self-monitoring groups for the mother, for:- caesarean section (RR 0.91, 95% CI 0.68 to 1.20; 179 participants; 2 RCTs; very low quality evidence);or for the child, for:- large-for-gestational age (RR 0.67, 95% CI 0.43 to 1.05; 106 participants; 1 RCT; very low quality evidence) and- neonatal hypoglycaemia (RR 0.79, 95% CI 0.35 to 1.78; 179 participants; 2 RCTs; very low quality evidence).There were no perinatal deaths in the two RCTs (179 participants; very low quality evidence). Other comparisons Modem versus telephone transmission for glucose monitoring (one RCT): none of the review's primary outcomes were reported in this trial Postprandial versus preprandial glucose monitoring (one RCT): we observed no clear differences between the postprandial and preprandial glucose monitoring groups for the mother, for:- pre-eclampsia (RR 1.00, 95% CI 0.15 to 6.68; 66 participants; 1 RCT);- caesarean section (RR 0.62, 95% CI 0.29 to 1.29; 66 participants; 1 RCT); and- perineal trauma (RR 0.38, 95% CI 0.11 to 1.29; 66 participants; 1 RCT);or for the child, for:- neonatal hypoglycaemia (RR 0.14, 95% CI 0.02 to 1.10; 66 participants; 1 RCT).There were fewer large-for-gestational-age infants born to mothers in the postprandial compared with the preprandial glucose monitoring group (RR 0.29, 95% CI 0.11 to 0.78; 66 participants; 1 RCT). AUTHORS'
CONCLUSIONS: Evidence from 11 RCTs assessing different methods or settings for glucose monitoring for GDM suggests no clear differences for the primary outcomes or other secondary outcomes assessed in this review.However, current evidence is limited by the small number of RCTs for the comparisons assessed, small sample sizes, and the variable methodological quality of the RCTs. More evidence is needed to assess the effects of different methods and settings for glucose monitoring for GDM on outcomes for mothers and their children, including use and costs of health care. Future RCTs may consider collecting and reporting on the standard outcomes suggested in this review.

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Year:  2017        PMID: 29081069      PMCID: PMC6485695          DOI: 10.1002/14651858.CD011069.pub2

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


  74 in total

Review 1.  Point: yes, it is necessary to rely entirely on glycemic values for the insulin treatment of all gestational diabetic women.

Authors:  Lois Jovanovic
Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

Review 2.  Counterpoint: glucose monitoring in gestational diabetes: lots of heat, not much light.

Authors:  Thomas A Buchanan; Siri L Kjos
Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

3.  Gestational diabetes mellitus.

Authors: 
Journal:  Diabetes Care       Date:  2004-01       Impact factor: 19.112

4.  CRITERIA FOR THE ORAL GLUCOSE TOLERANCE TEST IN PREGNANCY.

Authors:  J B O'SULLIVAN; C M MAHAN
Journal:  Diabetes       Date:  1964 May-Jun       Impact factor: 9.461

5.  A randomised controlled pilot study of the management of gestational impaired glucose tolerance.

Authors:  K Bancroft; D J Tuffnell; G C Mason; L J Rogerson; M Mansfield
Journal:  BJOG       Date:  2000-08       Impact factor: 6.531

6.  Effect of modem transmission of blood glucose data on telephone consultation time, clinic work flow, and patient satisfaction for patients with gestational diabetes mellitus.

Authors:  Davida F Kruger; Karen White; Aimee Galpern; Kelly Mann; Ann Massirio; Melinda McLellan; Jeanne Stevenson
Journal:  J Am Acad Nurse Pract       Date:  2003-08

7.  The impact of self-monitoring of blood glucose on self-efficacy and pregnancy outcomes in women with diet-controlled gestational diabetes.

Authors:  Carol J Homko; Eyal Sivan; E Albert Reece
Journal:  Diabetes Educ       Date:  2002 May-Jun       Impact factor: 2.140

8.  Management of diabetes mellitus by obstetrician-gynecologists.

Authors:  Steven G Gabbe; Rebecca Pratt Gregory; Michael L Power; Sterling B Williams; Jay Schulkin
Journal:  Obstet Gynecol       Date:  2004-06       Impact factor: 7.661

Review 9.  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

10.  How should randomised trials including multiple pregnancies be analysed?

Authors:  Simon Gates; Peter Brocklehurst
Journal:  BJOG       Date:  2004-03       Impact factor: 6.531

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  10 in total

1.  Caring for pregnant women whose diabetes antedates pregnancy: is there room for improvement?

Authors:  David A Sacks; Denice S Feig
Journal:  Diabetologia       Date:  2018-02-07       Impact factor: 10.122

2.  Three Days Compared to One Day Per Week of Self-Monitoring of Blood Glucose in Mild Gestational Diabetes: A Randomized Trial.

Authors:  Jesrine Gek Shan Hong; Ahmad Firdzaus Mohd Noor; Peng Chiong Tan
Journal:  J Clin Med       Date:  2022-06-29       Impact factor: 4.964

Review 3.  Treatments for women with gestational diabetes mellitus: an overview of Cochrane systematic reviews.

Authors:  Ruth Martis; Caroline A Crowther; Emily Shepherd; Jane Alsweiler; Michelle R Downie; Julie Brown
Journal:  Cochrane Database Syst Rev       Date:  2018-08-14

4.  Comparing the Efficacies of Telemedicine and Standard Prenatal Care on Blood Glucose Control in Women With Gestational Diabetes Mellitus: Randomized Controlled Trial.

Authors:  Ying Tian; Suhan Zhang; Feiling Huang; Liangkun Ma
Journal:  JMIR Mhealth Uhealth       Date:  2021-05-25       Impact factor: 4.773

5.  Techniques of monitoring blood glucose during pregnancy for women with pre-existing diabetes.

Authors:  Leanne V Jones; Amita Ray; Foong Ming Moy; Brian S Buckley
Journal:  Cochrane Database Syst Rev       Date:  2019-05-23

6.  Leveraging Technology to Improve Diabetes Care in Pregnancy.

Authors:  Sarah D Crimmins; Angela Ginn-Meadow; Rebecca H Jessel; Julie A Rosen
Journal:  Clin Diabetes       Date:  2020-12

7.  Exercise-Diet Therapy Combined with Insulin Aspart Injection for the Treatment of Gestational Diabetes Mellitus: A Study on Clinical Effect and Its Impact.

Authors:  Amei Mu; Yan'e Chen; Yongmei Lv; Wenxing Wang
Journal:  Comput Math Methods Med       Date:  2022-07-28       Impact factor: 2.809

8.  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

9.  Health Care Professionals' Attitudes Toward, and Experiences of Using, a Culture-Sensitive Smartphone App for Women with Gestational Diabetes Mellitus: Qualitative Study.

Authors:  Josef Noll; Lisa Garnweidner-Holme; Therese Hoel Andersen; Mari Wastvedt Sando; Mirjam Lukasse
Journal:  JMIR Mhealth Uhealth       Date:  2018-05-14       Impact factor: 4.773

10.  A Systematic Review of Collective Evidences Investigating the Effect of Diabetes Monitoring Systems and Their Application in Health Care.

Authors:  Maria Kamusheva; Konstantin Tachkov; Maria Dimitrova; Zornitsa Mitkova; Gema García-Sáez; M Elena Hernando; Wim Goettsch; Guenka Petrova
Journal:  Front Endocrinol (Lausanne)       Date:  2021-03-16       Impact factor: 5.555

  10 in total

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