Evidence map›Paper›PMID 33796074›Full record

SynthesisFrontiers in endocrinology2021

A Systematic Review of Collective Evidences Investigating the Effect of Diabetes Monitoring Systems and Their Application in Health Care.

Maria Kamusheva, Konstantin Tachkov, Maria Dimitrova, Zornitsa Mitkova, Gema García-Sáez, M Elena Hernando, Wim Goettsch, Guenka Petrova

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Applications and prospects of biomaterials in diabetes management.Frontiers in bioengineering and biotechnology · 2025
    Review
  3. Review
  4. Review
  5. Relevance of Indian traditional tisanes in the management of type 2 diabetes mellitus: A review.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Article
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

8 authors at 3 institutions in 3 countries.

Maria KamushevaFaculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria.
Konstantin TachkovFaculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria.
Maria DimitrovaFaculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria.
Zornitsa MitkovaFaculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria.
Gema García-SáezBioengineering and Telemedicine Group, Centro de Tecnología Biomédica, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.
M Elena HernandoBioengineering and Telemedicine Group, Centro de Tecnología Biomédica, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.
Wim GoettschUtrecht Centre for Pharmaceutical Policy, Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, Netherlands.
Guenka PetrovaFaculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria.
Medical University of Sofia · BGUniversidad Politécnica de Madrid · ESPharmo Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Diabetes monitoring systems (DMS) are a possible approach for regular control of glucose levels in patients with Type 1 or 2 diabetes in order to improve therapeutic outcomes or to identify and modify inappropriate patient behaviors in a timely manner. Despite the significant number of studies observing the DMS, no collective evidence is available about the effect of all devices. Goal: To review and consolidate evidences from multiple systematic reviews on the diabetes monitoring systems and the outcomes achieved. Materials and methods: Internet-based search in PubMed, EMBASE, and Cochrane was performed to identify all studies relevant to the research question. The data regarding type of intervention, type of diabetes mellitus, type of study, change in clinical parameter(s), or another relevant outcome were extracted and summarized. Results: Thirty-three out of 1,495 initially identified studies, involving more than 44,100 patients with Type 1, Type 2, or gestational diabetes for real-time or retrospective Continuous Glucose Monitoring (CGMS), Sensor Augmented Pump Therapy (SAPT), Self-monitoring Blood Glucose (SMBG), Continuous subcutaneous insulin infusion (CSII), Flash Glucose Monitoring (FGM), Closed-loop systems and telemonitoring, were included. Most of the studies observed small nominal effectiveness of DMS. In total 11 systematic reviews and 15 meta-analyses, with most focusing on patients with Type 1 diabetes (10 and 6, respectively), reported a reduction in glycated hemoglobin (HbA1c) levels from 0.17 to 0.70% after use of DMS. Conclusion: Current systematic review of already published systematic reviews and meta-analyses suggests that no statistically significant difference exists between the values of HbA1c as a result of application of any type of DMS. The changes in HbA1c values, number and frequency of hypoglycemic episodes, and time in glucose range are the most valuable for assessing the appropriateness and effectiveness of DMS. Future more comprehensive studies assessing the effectiveness, cost-effectiveness, and comparative effectiveness of DMS are needed to stratify them for the most suitable diabetes patients' subgroups.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringDiabetes MellitusGlycated HemoglobinHumansHypoglycemic AgentsInsulin Infusion SystemsMonitoring, PhysiologicReproducibility of ResultsRiskTreatment OutcomeBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic Agentsdiabetesdiabetes monitoring systemsglucose controlpersonalized approachsystematic review

Identifiers

PMID33796074
PMCPMC8008960
OpenAlexW3137753213

What Socratic 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 Socratic graph.