Evidence map›Paper›PMID 33257486›Full record

ArticleBMJ open2020

Effectiveness of real-time continuous glucose monitoring to improve glycaemic control and pregnancy outcome in patients with gestational diabetes mellitus: a study protocol for a randomised controlled trial.

Evelyn Annegret Huhn, Tina Linder, Daniel Eppel, Karen Weißhaupt, Christine Klapp, Karen Schellong, Wolfgang Henrich, Gülen Yerlikaya-Schatten, Ingo Rosicky, Peter Husslein and 14 more

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03981328 (The Effectiveness of Real Time Continuous Glucose Monitoring to Improve Glycemic Control and Pregnancy Outcome in Patients With Gestational Diabetes Mellitus), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 17% 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.

NCT03981328 nacompletednot on this map

The Effectiveness of Real Time Continuous Glucose Monitoring to Improve Glycemic Control and Pregnancy Outcome in Patients With Gestational Diabetes Mellitus

TypeinterventionalSponsorMedical University of ViennaRan2020 to 2025Enrolled375ConditionsCgm, Gestational Diabetes, Pregnancy Complications, Blood GlucoseArmsDexcom G6 Continuous Glucose Monitoring System, self-monitored blood glucose
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Effect of FSL-CGM on Maternal and Neonatal Outcomes in GDM: A Propensity Score Matching Study in Hangzhou, China.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  6. Observational
  7. The Benefits Of Continuous Glucose Monitoring In Pregnancy.Endocrinology and metabolism (Seoul, Korea) · 2023
    Review
  8. Article
  9. Article
  10. 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

24 authors at 8 institutions in 5 countries.

Evelyn Annegret HuhnDepartment of Obstetrics and Gynaecology, University Hospital Basel, Basel, Switzerland.ORCID 0000-0001-5382-1353
Tina LinderDepartment of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria.
Daniel EppelDepartment of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria.
Karen WeißhauptClinic of Obstetrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Christine KlappClinic of Obstetrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Karen SchellongClinic of Obstetrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Wolfgang HenrichClinic of Obstetrics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Gülen Yerlikaya-SchattenDepartment of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria.
Ingo RosickyDepartment of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria.
Peter HussleinDepartment of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria.
Kinga ChalubinskiDepartment of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria.
Martina MittlböckCenter of Medical Statistics, Informatics, and Intelligent Systems, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria.
Petra RustDepartment of Nutritional Sciences, University of Vienna, Vienna, Austria.
Irene HoesliDepartment of Obstetrics and Gynaecology, University Hospital Basel, Basel, Switzerland.
Bettina WinzelerDepartment of Endocrinology, Diabetology and Metabolism, University Hospital Basel, Basel, Switzerland.
Johan JendleInstitution of Medical Sciences, Örebro University, Örebro, Sweden.
T FehmDepartment of Obstetrics and Gynaecology, Medical Faculty, Heinrich-Heine University Düsseldorf, Dusseldorf, Germany.
Andrea IcksInstitute of Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University, Düsseldorf, Germany.
Markus VomhofInstitute of Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University, Düsseldorf, Germany.
Gregory Gordon GreinerInstitute of Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich Heine University, Düsseldorf, Germany.ORCID 0000-0001-7341-0818
Julia SzendrödiGerman Center for Diabetes Research, München-Neuherberg, Oberschleißheim, Germany.
Michael RodenGerman Center for Diabetes Research, München-Neuherberg, Oberschleißheim, Germany.
Andrea TuraMetabolic Unit, Institute of Neuroscience, National Research Council, Padova, Italy.
Christian S GöblDepartment of Obstetrics and Gynecology, Division of Obstetrics and Feto-maternal Medicine, Medical University of Vienna, Vienna, Austria christian.goebl@meduniwien.ac.at.
Medical University of Vienna · ATDeutsches Diabetes-Zentrum e.V. · DEHumboldt-Universität zu Berlin · DEUniversity Hospital of Basel · CHHeinrich Heine University Düsseldorf · DENational Research Council · ITÖrebro University · SEUniversity of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionReal-time continuous glucose monitoring (rt-CGM) informs users about current interstitial glucose levels and allows early detection of glycaemic excursions and timely adaptation by behavioural change or pharmacological intervention. Randomised controlled studies adequately powered to evaluate the impact of long-term application of rt-CGM systems on the reduction of adverse obstetric outcomes in women with gestational diabetes (GDM) are missing. We aim to assess differences in the proportion of large for gestational age newborns in women using rt-CGM as compared with women with self-monitored blood glucose (primary outcome). Rates of neonatal hypoglycaemia, caesarean section and shoulder dystocia are secondary outcomes. A comparison of glucose metabolism and quality of life during and after pregnancy completes the scope of this study. METHODS AND ANALYSIS: Open-label multicentre randomised controlled trial with two parallel groups including 372 female patients with a recent diagnosis of GDM (between 24+0 until 31+6 weeks of gestation): 186 with rt-CGM (Dexcom G6) and 186 with self-monitored blood glucose (SMBG). Women with GDM will be consecutively recruited and randomised to rt-CGM or control (SMBG) group after a run-in period of 6-8 days. The third visit will be scheduled 8-10 days later and then every 2 weeks. At every visit, glucose measurements will be evaluated and all patients will be treated according to the standard care. The control group will receive a blinded CGM for 10 days between the second and third visit and between week 36+0 and 38+6. Cord blood will be sampled immediately after delivery. 48 hours after delivery neonatal biometry and maternal glycosylated haemoglobin A1c (HbA1c) will be assessed, and between weeks 8 and 16 after delivery all patients receive a re-examination of glucose metabolism including blinded CGM for 8-10 days. ETHICS AND DISSEMINATION: This study received ethical approval from the main ethic committee in Vienna. Data will be presented at international conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT03981328; Pre-results.

Indexed as

Diabetes, GestationalBlood GlucoseBlood Glucose Self-MonitoringCesarean SectionDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleGlycemic ControlHumansInfantInfant, NewbornPregnancyPregnancy OutcomeQuality of LifeRandomized Controlled Trials as TopicBlood Glucoseclinical trialsdiabetes in pregnancyfetal medicinematernal medicine

Identifiers

PMID33257486
PMCPMC7705524
OpenAlexW3109872633

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.