Evidence map›Paper›PMID 40868539›Full record

ArticleChildren (Basel, Switzerland)2025

Health Technology Assessment of Continuous Glucose Monitoring Systems for Paediatric Patients.

Martina Andellini, Riccardo Schiaffini, Massimiliano Angelini, Leandro Pecchia, Matteo Ritrovato

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Martina AndelliniSchool of Engineering, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0002-2931-0753
Riccardo SchiaffiniEndocrinology and Diabetes Unit, Bambino Gesù Children's Hospital IRCCS, 00163 Rome, Italy.ORCID 0000-0002-9527-2353
Massimiliano AngeliniBambino Gesù Children's Hospital IRCCS, 00163 Rome, Italy.
Leandro PecchiaSchool of Engineering, University of Warwick, Coventry CV4 7AL, UK.
Matteo RitrovatoBambino Gesù Children's Hospital IRCCS, 00163 Rome, Italy.ORCID 0000-0003-3686-6108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesType1 diabetes (T1D) is one of the most common chronic diseases in pediatric age. Continuous glucose monitoring (CGM) has been shown to improve glycaemic control in adults compared to self-monitoring of blood glucose (SMBG); however, evidence about its use in the pediatric field is limited and fragmented and needs to be improved. This paper aims to address all the critical aspects linked to the use of CGM in a pediatric population while also describing a methodology for conducting health technology assessment (HTA) to support the decision-making process.

methodsThe use of CGM and SMBG in a pediatric population was compared by using a decision-making support tool (DoHTA method). Twenty-seven Key Performance Indicators (KPIs) were identified, defining safety, clinical effectiveness, organizational, patient perspective, and economic aspects. Performance scores for both monitoring systems were assessed based on these KPIs, leading to a final comparative ranking.

resultsCGM demonstrated a 29.3% performance advantage over SMBG, highlighting its benefits in terms of clinical effectiveness, patient perspectives, safety, and economic evaluation. No substantial differences were identified in terms of organizational aspects.

conclusionsThis study critically evaluates the benefits and drawbacks of the use of CGM in a pediatric population. It integrates the assessment of the clinical effectiveness with the organizational aspects, the cost, the patient perspective, and the safety, providing a valuable proof of evidence as well as a reliable and transferable method for conducting decision-making processes in a hospital setting.

Indexed as

continuous glucose monitoringhealth technology assessmentmulticriteria decision analysistype 1 diabetes

Identifiers

PMID40868539
PMCPMC12384686

What Socratic holds

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LicenceCC BY
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Registered trials

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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.