Evidence map›Paper›PMID 36344008›Full record

ArticleBMJ open2022

Comprehensive self-tracking of blood glucose and lifestyle with a mobile application in the management of gestational diabetes: a study protocol for a randomised controlled trial (eMOM GDM study).

Mikko Kytö, Lisa Torsdatter Markussen, Pekka Marttinen, Giulio Jacucci, Sari Niinistö, Suvi M Virtanen, Tuuli E Korhonen, Harri Sievänen, Henri Vähä-Ypyä, Ilkka Korhonen and 2 more

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

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04714762 (eHealth in Treatment of Gestational Diabetes - eMOM GDM -Study), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 9% 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.

NCT04714762 naactive not recruitingnot on this map

eHealth in Treatment of Gestational Diabetes - eMOM GDM -Study (Phase 2)

TypeinterventionalSponsorHelsinki University Central HospitalRan2021 to 2026Enrolled200ConditionsGestational Diabetes, Mobile ApplicationArmseMOM GDM application
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 18 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

12 authors at 6 institutions in 1 country.

Mikko KytöDepartment of IT Management, Helsinki University Hospital, Helsinki, Finland mikko.kyto@hus.fi.ORCID 0000-0002-4936-3502
Lisa Torsdatter MarkussenDepartment of IT Management, Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0002-9337-1198
Pekka MarttinenDepartment of Computer Science, Aalto University, Aalto, Finland.
Giulio JacucciDepartment of Computer Science, University of Helsinki, Helsinki, Finland.
Sari NiinistöDepartment of Public Health, Welfare Finnish Institute for Health and Welfare, Helsinki, Finland.
Suvi M VirtanenDepartment of Public Health and Welfare, The National Institute for Health and Welfare, Helsinki, Finland.
Tuuli E KorhonenDepartment of Public Health, Welfare Finnish Institute for Health and Welfare, Helsinki, Finland.
Harri SievänenUKK Institute for Health Promotion Research, Tampere, Finland.
Henri Vähä-YpyäUKK Institute for Health Promotion Research, Tampere, Finland.
Ilkka KorhonenFaculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Seppo HeinonenDepartment of Obstetrics and Gynaecology, Helsinki University Central Hospital, Helsinki, Finland.
Saila B KoivusaloDepartment of Obstetrics and Gynaecology, Helsinki University Central Hospital, Helsinki, Finland.
University of Helsinki · FIFinnish Institute for Health and Welfare · FIHelsinki University Hospital · FITampere University · FIUrho Kaleva Kekkonen Institute · FIAalto University · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGestational diabetes (GDM) causes various adverse short-term and long-term consequences for the mother and child, and its incidence is increasing globally. So far, the most promising digital health interventions for GDM management have involved healthcare professionals to provide guidance and feedback. The principal aim of this study is to evaluate the effects of comprehensive and real-time self-tracking with eMOM GDM mobile application (app) on glucose levels in women with GDM, and more broadly, on different other maternal and neonatal outcomes. METHODS AND ANALYSIS: This randomised controlled trial is carried out in Helsinki metropolitan area. We randomise 200 pregnant women with GDM into the intervention and the control group at gestational week (GW) 24-28 (baseline, BL). The intervention group receives standard antenatal care and the eMOM GDM app, while the control group will receive only standard care. Participants in the intervention group use the eMOM GDM app with continuous glucose metre (CGM) and activity bracelet for 1 week every month until delivery and an electronic 3-day food record every month until delivery. The follow-up visit after intervention takes place 3 months post partum for both groups. Data are collected by laboratory blood tests, clinical measurements, capillary glucose measures, wearable sensors, air displacement plethysmography and digital questionnaires. The primary outcome is fasting plasma glucose change from BL to GW 35-37. Secondary outcomes include, for example, self-tracked capillary fasting and postprandial glucose measures, change in gestational weight gain, change in nutrition quality, change in physical activity, medication use due to GDM, birth weight and fat percentage of the child. ETHICS AND DISSEMINATION: The study has been approved by Ethics Committee of the Helsinki and Uusimaa Hospital District. The results will be presented in peer-reviewed journals and at conferences. TRIAL REGISTRATION NUMBER: NCT04714762.

Indexed as

Diabetes, GestationalMobile ApplicationsBirth WeightBlood GlucoseChildFemaleHumansInfant, NewbornLife StylePregnancyRandomized Controlled Trials as TopicBlood GlucoseDiabetes in pregnancyOBSTETRICSPERINATOLOGY

Identifiers

PMID36344008
PMCPMC9644362
OpenAlexW4308471092

What Socratic 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 Socratic graph.