Evidence map›Paper›PMID 35476320›Full record

Trial reportJournal of endocrinological investigation2022

A telemedicine-based approach with real-time transmission of blood glucose data improves metabolic control in insulin-treated diabetes: the DIAMONDS randomized clinical trial.

S Di Molfetta, P Patruno, S Cormio, A Cignarelli, R Paleari, A Mosca, O Lamacchia, S De Cosmo, M Massa, A Natalicchio and 3 more

Registry-linked trialOpen access · hybridAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of endocrinological investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01804803 (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.), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 13% 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 map

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
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Review
  5. Telehealth Fatigue: Is It Real? What Should Be Done?Journal of diabetes science and technology · 2024
    Article
  6. Review
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 4 institutions in 1 country.

S Di MolfettaSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
P PatrunoSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
S CormioSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
A CignarelliSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
R PaleariDepartment of Physiopathology and Transplantation, Center for Metrological Traceability in Laboratory Medicine (CIRME), University of Milan, Milan, Italy.
A MoscaDepartment of Physiopathology and Transplantation, Center for Metrological Traceability in Laboratory Medicine (CIRME), University of Milan, Milan, Italy.
O LamacchiaSection of Endocrinology, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
S De CosmoSection of Internal Medicine, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy.
M MassaSection of Internal Medicine, Department of Medical Sciences, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy.
A NatalicchioSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
S PerriniSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
L LaviolaSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy.
F GiorginoSection of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, Department of Emergency and Organ Transplantation, University of Bari Aldo Moro, Bari, Italy. francesco.giorgino@uniba.it.ORCID http://orcid.org/0000-0001-7372-2678
University of Bari Aldo Moro · ITCasa Sollievo della Sofferenza · ITUniversity of Milan · ITUniversity of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate if a web-based telemedicine system (the Glucoonline

methodsThis was a prospective, randomized, controlled trial, carried out at three tertiary referral centers for diabetes in Italy. Adults with insulin-treated type 1 and type 2 diabetes, inadequate glycemic control, and no severe diabetes-related complications and/or comorbidities were eligible for this study. Patients were randomized to either perform telemedicine-assisted (Group A) or standard (Group B) self-monitoring blood glucose (SMBG) for 6 months. In Group A, patients received prompt feedback about their blood glucose levels and therapy suggestions from the study staff via phone/SMS, when appropriate. In Group B, patients had no remote assistance from the study staff between planned visits.

results123 patients were included in the final analysis. After 6 months, patients achieved a significant reduction in HbA1c in Group A (-0.38%, p < 0.05) but not in Group B (+ 0.08%, p = 0.53). A significant difference in the percentage of patients with HbA1c < 7% between Group A and Group B was found after 3 months (28.6% vs 11.1%, p = 0.02). Also, fewer patients (p < 0.05) with HbA1c > 8.5% were found in Group A vs Group B, respectively, after both 3 months (14.3% vs 35.2%) and 6 months (21.8% vs 42.9%).

conclusionsThe use of the Glucoonline™ system resulted in improved metabolic control. Telemedicine services have potential to support diabetes self-management and provide the patients with remote, prompt assistance using affordable technological equipment. Trial registration This study was registered at clinicaltrials.gov (NCT01804803) on March 5, 2013.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2TelemedicineAdultBlood GlucoseBlood Glucose Self-MonitoringDiamondGlycated HemoglobinHumansHypoglycemic AgentsInsulinProspective StudiesBlood GlucoseDiamondGlycated HemoglobinHypoglycemic AgentsInsulinDiabetes mellitusGlucoonlineRandomized controlled trialSMBGTelemedicine

Identifiers

PMID35476320
PMCPMC9044385
OpenAlexW4225006906

What OpenQuestion holds

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LicenceCC BY
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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.