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Record W4410996454 · doi:10.1155/pedi/8875203

Equity of Continuous Glucose Monitoring in Children and Young People With Type 1 Diabetes: A Systematic Review

2025· review· en· W4410996454 on OpenAlexaboutno aff
J. Dicks, Lucy McCann, Abraham Tolley, Alice Macdonald Barrell, Lucy Johnson, Isla Kuhn, John Ford

Bibliographic record

VenuePediatric Diabetes · 2025
Typereview
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineContinuous glucose monitoringType 1 diabetesEquity (law)Diabetes mellitusMEDLINEBlood Glucose Self-MonitoringType 2 diabetesPediatricsEndocrinology

Abstract

fetched live from OpenAlex

Background: Socioeconomic status (SES) and ethnic inequalities in type 1 diabetes (T1D) outcomes are well‐established. There is concern that unequal access to technologies, including continuous glucose monitoring (CGM), may increase disparities. This systematic review summarises the evidence for inequalities in the prevalence of CGM use for children and young people (CYP) and outcomes for CGM users. Methods: Medline, Embase and Web of Science were searched for observational studies published between January 2000 and July 2023 which report CGM use stratified by any PROGRESS‐Plus criteria for T1D patients under 26. Reports based in low‐ or middle‐income countries, ≤500 participants or only reporting hybrid closed‐loop systems were excluded. Primary outcomes were the proportion of patients using CGM and HbA1c of CGM users. Quality assessment was performed using the Newcastle–Ottawa Scale. Unadjusted odds ratios were calculated from the extracted summary data, though heterogeneity precluded meta‐analysis. The protocol was preregistered with PROSPERO (CRD42023438139). Results: Of the 3369 unique studies identified, 27 met the inclusion criteria. Thirty‐three percent were of ‘good’ or ‘very good’ quality. We found decreased CGM use and higher discontinuation for low SES, low education, publicly insured and minority ethnic, especially Black, CYP. These associations were generally robust to adjustment for other sociodemographic variables, suggesting an independent effect. Lower SES inequalities were seen in countries where CGM is reimbursed. Although low SES and minority ethnicity were associated with poorer outcomes in general, for CGM users there was no significant association between domains of disadvantage and higher HbA1c, excepting parental education. Conclusions: There are significant SES, ethnic and education inequalities in CGM use for CYP with T1D, particularly when reimbursement is limited. This inequity is contributing to inequalities in T1D outcomes. However, evidence suggests CYP benefit equally from CGM use, irrespective of ethnicity and SES. Increasing CGM funding and use is likely to reduce outcome inequalities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.052
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.008
Bibliometrics0.0060.008
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.320
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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