Evidence map›Paper›PMID 21266648›Full record

Trial reportDiabetes care2011

The Diabeo software enabling individualized insulin dose adjustments combined with telemedicine support improves HbA1c in poorly controlled type 1 diabetic patients: a 6-month, randomized, open-label, parallel-group, multicenter trial (TeleDiab 1 Study).

Guillaume Charpentier, Pierre-Yves Benhamou, Dured Dardari, Annie Clergeot, Sylvia Franc, Pauline Schaepelynck-Belicar, Bogdan Catargi, Vincent Melki, Lucy Chaillous, Anne Farret and 3 more

4 registry-linked trialsOpen access · hybridAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Diabetes care, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 112 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 19 pooled it
9.2field-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.

NCT01804803 nacompletednot on this mapstarted 2013, after this paper: background citation

A Telemedicine-based Intervention Study Involving Real-time and Anywhere Transmission of Blood Glucose Data to a Decision Supported Software-assisted Server With Web-based Analysis of Data and Medical Feedback on Metabolic Control.

TypeinterventionalSponsorUniversity of BariRan2013 to 2017Enrolled123ConditionsDiabetes MellitusArmsUse of software-implemented glucometer for real-time collection and transmission of measured glucose values to remote server., Use of regular glucometer
NCT01955031 nacompletednot on this mapstarted 2013, after this paper: background citation

Effectiveness and Cost-effectiveness Analysis of a Telemonitoring Program on Lifestyle for People With Type 2 Diabetes at Home. Study Based on a Health Network in Diabetology.

TypeinterventionalSponsorUniversity Hospital, ToulouseRan2013 to 2019Enrolled282ConditionsType 2 DiabetesArmstelemonitoring, Usual care
NCT03332472 nacompletednot on this mapstarted 2013, after this paper: background citation

Evaluation of Telemedicine on Metabolic Control in the Care of Diabetes Mellitus Type 1 Patients in Multiple Doses of Insulin Treatment in Andalusian Community

TypeinterventionalSponsorSociedad Andaluza de Endocrinología, Diabetes y NutriciónRan2013 to 2016Enrolled334ConditionsTelemedicineArmsTelemedicine group, Conventional group
NCT03455816 naunknown statusnot on this mapstarted 2017, after this paper: background citation

Randomized Clinical Study to Evaluate the Bio-Psychosocial Impact of a Mobile App for Diabetes ("SOCIAL DIABETES") and a SMARTMETER® (A. MENARINI DIAGNOSTICS) in the Care of People With Diabetes Mellitus Type 1 and Its Associated Costs

TypeinterventionalSponsorSoledad Ruiz de AdanaRan2017 to 2018Enrolled148ConditionsDiabetes Mellitus, Type 1ArmsSocial Diabetes App, Usual clinical monitoring group (Control group)
3 · Its place in the literature

Who cites it

112 citing papers in PubMed, 19 syntheses or guidelines pooled it, 297 citations in OpenAlex.

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  11. Guideline
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  14. Effect of telemedicine on glycated hemoglobin in diabetes: a systematic review and meta-analysis of randomized trials.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2017
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  18. Mapping mHealth research: a decade of evolution.Journal of medical Internet research · 2013
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  19. A systematic review of healthcare applications for smartphones.BMC medical informatics and decision making · 2012
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  20. Trial

52 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

13 authors at 8 institutions in 1 country.

Guillaume CharpentierDepartment of Diabetes, Centre d'Études et de Recherche pour l’Intensification du Traitement du Diabète, Sud-Francilien Hospital, Corbeil-Essonnes, France. kerbonac@free.fr
Pierre-Yves Benhamou
Dured Dardari
Annie Clergeot
Sylvia Franc
Pauline Schaepelynck-Belicar
Bogdan Catargi
Vincent Melki
Lucy Chaillous
Anne Farret
Jean-Luc Bosson
Alfred Penfornis
TeleDiab Study Group
Centre Hospitalier Universitaire de Besançon · FRCentre Hospitalier Universitaire de Bordeaux · FRCentre Hospitalier Universitaire de Grenoble · FRCentre Hospitalier Universitaire de Montpellier · FRHôpital Laennec · FRHôpital Rangueil · FRHôpital Sainte-Marguerite · FRUniversité Grenoble Alpes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo demonstrate that Diabeo software enabling individualized insulin dose adjustments combined with telemedicine support significantly improves HbA(1c) in poorly controlled type 1 diabetic patients. RESEARCH DESIGN AND

methodsIn a six-month open-label parallel-group, multicenter study, adult patients (n = 180) with type 1 diabetes (>1 year), on a basal-bolus insulin regimen (>6 months), with HbA(1c) ≥ 8%, were randomized to usual quarterly follow-up (G1), home use of a smartphone recommending insulin doses with quarterly visits (G2), or use of the smartphone with short teleconsultations every 2 weeks but no visit until point end (G3).

resultsSix-month mean HbA(1c) in G3 (8.41 ± 1.04%) was lower than in G1 (9.10 ± 1.16%; P = 0.0019). G2 displayed intermediate results (8.63 ± 1.07%). The Diabeo system gave a 0.91% (0.60; 1.21) improvement in HbA(1c) over controls and a 0.67% (0.35; 0.99) reduction when used without teleconsultation. There was no difference in the frequency of hypoglycemic episodes or in medical time spent for hospital or telephone consultations. However, patients in G1 and G2 spent nearly 5 h more than G3 patients attending hospital visits.

conclusionsThe Diabeo system gives a substantial improvement to metabolic control in chronic, poorly controlled type 1 diabetic patients without requiring more medical time and at a lower overall cost for the patient than usual care.

Indexed as

AdultDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHumansHypoglycemic AgentsInsulinMaleMiddle AgedSoftwareTelemedicineYoung AdultGlycated HemoglobinHypoglycemic AgentsInsulin

Identifiers

PMID21266648
PMCPMC3041176
OpenAlexW2168199710

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.