Evidence map›Paper›PMID 27829574›Full record

SynthesisJournal of medical Internet research2016

Telemedicine Technologies for Diabetes in Pregnancy: A Systematic Review and Meta-Analysis.

Wai-Kit Ming, Lucy H Mackillop, Andrew J Farmer, Lise Loerup, Katy Bartlett, Jonathan C Levy, Lionel Tarassenko, Carmelo Velardo, Yvonne Kenworthy, Jane E Hirst

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 13 pooled it
20.5field-weighted citation impact, top 1% 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

80 citing papers in PubMed, 13 syntheses or guidelines pooled it, 187 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Trial
  15. Trial
  16. Trial
  17. Trial
  18. Trial
  19. Trial
  20. Trial

20 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 2 countries.

Wai-Kit MingNuffield Department of Obstetrics & Gynaecology, John Radcliffe Hospital, Oxford, United Kingdom.ORCID 0000-0002-8846-7515
Lucy H MackillopWomen's Centre, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.ORCID 0000-0002-1927-1594
Andrew J FarmerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-6170-4402
Lise LoerupInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-1141-6680
Katy BartlettWomen's Centre, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.ORCID 0000-0002-2323-2141
Jonathan C LevyThe Oxford Centre for Diabetes, Endocrinology and Metabolism, Oxford University Hospitals NHS Trust, Oxford, United Kingdom.ORCID 0000-0003-1007-2393
Lionel TarassenkoInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-0118-1646
Carmelo VelardoInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-4836-3743
Yvonne KenworthyNuffield Department of Obstetrics & Gynaecology, John Radcliffe Hospital, Oxford, United Kingdom.ORCID 0000-0002-2037-9244
Jane E HirstNuffield Department of Obstetrics & Gynaecology, John Radcliffe Hospital, Oxford, United Kingdom.ORCID 0000-0002-0176-2651
University of Oxford · GBJohn Radcliffe Hospital · GBOxford University Hospitals NHS Trust · GBOxford Centre for Diabetes, Endocrinology and Metabolism · GBSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes in pregnancy is a global problem. Technological innovations present exciting opportunities for novel approaches to improve clinical care delivery for gestational and other forms of diabetes in pregnancy.

objectiveTo perform an updated and comprehensive systematic review and meta-analysis of the literature to determine whether telemedicine solutions offer any advantages compared with the standard care for women with diabetes in pregnancy.

methodsThe review was developed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. Randomized controlled trials (RCT) in women with diabetes in pregnancy that compared telemedicine blood glucose monitoring with the standard care were identified. Searches were performed in SCOPUS and PubMed, limited to English language publications between January 2000 and January 2016. Trials that met the eligibility criteria were scored for risk of bias using the Cochrane Collaborations Risk of Bias Tool. A meta-analysis was performed using Review Manager software version 5.3 (Nordic Cochrane Centre, Cochrane Collaboration).

resultsA total of 7 trials were identified. Meta-analysis demonstrated a modest but statistically significant improvement in HbA1c associated with the use of a telemedicine technology. The mean HbA1c of women using telemedicine was 5.33% (SD 0.70) compared with 5.45% (SD 0.58) in the standard care group, representing a mean difference of -0.12% (95% CI -0.23% to -0.02%). When this comparison was limited to women with gestational diabetes mellitus (GDM) only, the mean HbA1c of women using telemedicine was 5.22% (SD 0.70) compared with 5.37% (SD 0.61) in the standard care group, mean difference -0.14% (95% CI -0.25% to -0.04%). There were no differences in other maternal and neonatal outcomes reported.

conclusionsThere is currently insufficient evidence that telemedicine technology is superior to standard care for women with diabetes in pregnancy; however, there was no evidence of harm. No trials were identified that assessed patient satisfaction or cost of care delivery, and it may be in these areas where these technologies may be found most valuable.

Indexed as

Diabetes, GestationalFemaleHumansPregnancyTelemedicinediabetes mellitusmeta-analysispregnancypregnancy in diabeticsreviewtelemedicine

Identifiers

PMID27829574
PMCPMC5121530
OpenAlexW2551745341

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.