Evidence map›Paper›PMID 37640505›Full record

ArticleBMJ open diabetes research & care2023

Implementation of flash glucose monitoring in four pediatric diabetes clinics: controlled before and after study to produce real-world evidence of patient benefit.

Rebecca Kandiyali, Hazel Taylor, Elizabeth Thomas, Freyja Cullen, William Hollingworth, Jenny Ingram, Charlie Kenward, Nicol West, David McGregor, Becky Smith and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 6 institutions in 1 country.

Rebecca KandiyaliCentre for Health Economics, Warwick Medical School, Coventry, UK rebecca.kandiyali@warwick.ac.uk.ORCID 0000-0001-8566-9536
Hazel TaylorResearch and Development, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
Elizabeth ThomasBristol Paediatric Diabetes, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
Freyja CullenBristol Paediatric Diabetes, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
William HollingworthBristol Medical School, University of Bristol, Bristol, UK.
Jenny IngramBristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0003-2366-008X
Charlie KenwardNorth Somerset and South Gloucestershire Integrated Care Board, Bristol, UK.
Nicol WestDepartment of Paediatrics, Great Western Hospitals NHS Foundation Trust, Swindon, UK.
David McGregorDepartment of Paediatrics, Royal Devon and Exeter Foundation Trust, Exeter, UK.
Becky SmithDepartment of Paediatrics, University Hospitals Plymouth NHS Trust, Plymouth, UK.
Julian Hamilton-ShieldBristol Paediatric Diabetes, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK.
University Hospitals Bristol NHS Foundation Trust · GBUniversity of Bristol · GBGreat Western Hospital · GBRoyal Devon & Exeter NHS Foundation Trust · GBUniversity Hospitals Plymouth NHS Trust · GBUniversity of Warwick · GB

Funding

Department of Health NIHR201085
6 · The paper itself

Abstract

aimsTo assess the real-world evidence for flash glucose monitoring (Abbott FreeStyle Libre) for children with type 1 diabetes in terms of glucose control, secondary healthcare resources and costs. RESEARCH DESIGN AND

methodsWe conducted a controlled before and after study (approximately 12 months before and after) using routinely collected health record data on children who start using flash monitors and a control population of children with self-monitoring of blood glucose (SMBG). Our population-based sample of eligible individuals using flash monitoring (n=114) and controls (n=80) aged between 4 and 18 years was drawn from four paediatric diabetes clinics (secondary care) in the South West England. Outcome measures included: glycated hemoglobin (HbA1c), frequency of BG tests; frequency of sensor scans; time in recommended glucose range; short-term complications (hypoglycemia, diabetic ketoacidosis and related illness resulting in investigation) and secondary care costs.

resultsAfter adjustment for age, time since diagnosis, deprivation and the test modality (point of care or laboratory), the mean HbA1c reading for controls was 61.2 (mmol/mol) for the period before and 63.9 after. For individuals using flash monitoring, the adjusted mean HbA1c reading was 64.6 for the period before implementation and 63.8 after. Rates of short-term complications were low across all groups in the study. Whereas the 'after' flash monitoring group had substantially higher incremental costs (+£703 vs the flash monitoring 'before' comparison and +£841 vs contemporaneous SMBG controls), these cost differences were driven by primary care prescribing (sensor costs).

conclusionsThere was some indication that flash monitoring might help young people improve the control of their diabetes but for our sample, the difference between finger-prick testing and flash monitoring was not clinically significant (HbA1c improvement <5 mmol/mol). Given the pace of technological change within diabetes, research efforts should now facilitate the real-time analysis of long-term routine data on flash and continuous glucose monitors.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1AdolescentBlood Glucose Self-MonitoringChildChild, PreschoolGlucoseGlycated HemoglobinHumansBlood GlucoseGlucoseGlycated Hemoglobinblood glucose self-monitoringglycemic controlpediatricstype 1

Identifiers

PMID37640505
PMCPMC10462967
OpenAlexW4386227109

What OpenQuestion 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 OpenQuestion graph.