Evidence map›Paper›PMID 27482825›Full record

Trial reportDiabetes technology & therapeutics2016

Comparison of Different Treatment Modalities for Type 1 Diabetes, Including Sensor-Augmented Insulin Regimens, in 52 Weeks of Follow-Up: A COMISAIR Study.

Jan Šoupal, Lenka Petruželková, Milan Flekač, Tomáš Pelcl, Martin Matoulek, Martina Daňková, Jan Škrha, Štěpán Svačina, Martin Prázný

4 registry-linked trialsAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Diabetes technology & therapeutics, 2016. 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 48 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

NCT04358263 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Comparison of CGM in Randomised Study of Real-time and Intermittently-scanned Systems in T1D With Normal Awareness of Hypoglycemia (CORRIDA)

TypeinterventionalSponsorCharles University, Czech RepublicRan2018 to 2020Enrolled60ConditionsDiabetes Mellitus, Type 1ArmsContinuous Glucose Monitoring Guardian Connect Mobile system (real-time continuous glucose monitoring), Continuous Glucose Monitoring FreeStyle Libre Flash system (intermittently-scanned continuous glucose monitoring)
NCT04759495 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Comparison of CGM in Non-randomised Real Life Study of Real-time and Intermittently Scanned Systems in Patients With Type 1 Diabetes

TypeinterventionalSponsorCharles University, Czech RepublicRan2019 to 2021Enrolled187ConditionsDiabetes Mellitus, Type 1ArmsContinuous Glucose Monitoring Dexcom G5 and G6 system (real-time continuous glucose monitoring), Continuous Glucose Monitoring FreeStyle Libre Flash system (flash glucose monitoring)
NCT05165615 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Comparison of the Two Different Closed-loop Hybrid Systems - AndroidAPS and Control-IQ in Patients With Type 1 Diabetes

TypeinterventionalSponsorCharles University, Czech RepublicRan2020 to 2022Enrolled20ConditionsDiabetes Mellitus, Type 1ArmsInsulin Pump t:slim X2 with Control-IQ technology
NCT06709729 naactive not recruitingnot on this mapstarted 2020, after this paper: background citation

Switch of Open-source Automated Insulin Delivery System - AndroidAPS to Commercially Available AID Systems in Type 1 Diabetes: the Extension of the CODIAC Study

TypeinterventionalSponsorCharles University, Czech RepublicRan2020 to 2024Enrolled41ConditionsDiabetes Mellitus, Type 1ArmsInsulin pump with closed-loop system
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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  13. Advances in diabetes technology within the digital diabetes ecosystem.Journal of managed care & specialty pharmacy · 2024
    Review
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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

9 authors.

Jan Šoupal1 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University in Prague , Czech Republic .
Lenka Petruželková2 Department of Paediatrics, 2nd Faculty of Medicine, Charles University in Prague , Czech Republic .
Milan Flekač1 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University in Prague , Czech Republic .
Tomáš Pelcl1 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University in Prague , Czech Republic .
Martin Matoulek1 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University in Prague , Czech Republic .
Martina Daňková1 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University in Prague , Czech Republic .
Jan Škrha1 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University in Prague , Czech Republic .
Štěpán Svačina1 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University in Prague , Czech Republic .
Martin Prázný1 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University in Prague , Czech Republic .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare different treatment modalities for patients with type 1 diabetes (T1D) based on real-time continuous glucose monitoring (RT-CGM) or self-monitoring of blood glucose (SMBG) combined with multiple daily injections (MDIs) or continuous subcutaneous insulin infusion (CSII). RESEARCH DESIGN AND

methodsSixty-five T1D patients were followed up for a year. Of these, 27 started RT-CGM as part of a sensor-augmented insulin regimen (SAIR); within this SAIR group, 15 subjects started sensor-augmented pump (SAP) therapy and the remaining 12 continued with MDIs (MDIs + RT-CGM). A second group of 20 patients initiated CSII without RT-CGM, while a third group of 18 subjects continued on MDIs and SMBG. The main endpoints were reduction of HbA1c, glycemic variability (GV), and incidence of hypoglycemia.

resultsAfter a year, the baseline mean HbA1c in the SAIR group (8.3%) decreased to 7.1% (P < 0.0001); both SAIR subgroups, SAP and MDIs + RT-CGM, showed comparable improvement. The CSII group also had reduced HbA1c (8.4% ± 0.9% vs. 7.9% ± 0.7%; P < 0.05). Both SAIRs were superior to MDIs (P = 0.002) and CSII (P = 0.0032). GV was also lowered, both in the SAIR (P < 0.0001) and CSII (P < 0.05) groups. Reduced incidence of hypoglycemia was observed only with SAIR (8% ± 4% vs. 6% ± 3%; P < 0.01).

conclusionBoth SAIRs, SAP and MDIs + RT-CGM, provided significant and comparable decrease of HbA1c with concurrent reduction of hypoglycemia. This improvement was greater than that seen with CSII. The combination of RT-CGM and MDIs can be a suitable alternative to SAP for some patients.

Indexed as

Insulin Infusion SystemsAdultBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1FemaleFollow-Up StudiesHumansHypoglycemic AgentsInsulinMaleMiddle AgedProspective StudiesQuality of LifeTreatment OutcomeYoung AdultBlood GlucoseHypoglycemic AgentsInsulin

Identifiers

PMID27482825
PMCPMC5035377

What OpenQuestion holds

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LicenceCC BY-NC
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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.