Evidence map›Paper›PMID 37148160›Full record

ArticleJournal of diabetes science and technology2023

Accuracy of Continuous Glucose Monitoring in an Insulin-Treated Population Requiring Haemodialysis.

Christopher Horne, Iain Cranston, Mark Amos, Katey Flowers

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Observational
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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

4 authors at 1 institution in 1 country.

Christopher HorneDepartment of Diabetes and Endocrinology, Queen Alexandra Hospital, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.ORCID 0000-0002-7930-5266
Iain CranstonDepartment of Diabetes and Endocrinology, Queen Alexandra Hospital, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Mark AmosQueen Alexandra Hospital, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Katey FlowersWessex Kidney Centre, Queen Alexandra Hospital, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Queen Alexandra Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinuous glucose monitoring (CGM) is revolutionizing diabetes care by giving both patients and the healthcare professionals unprecedented insights into glucose variability and patterns. It is established in National Institute for Health and Care Excellence (NICE) guidance as a standard of care for type 1 diabetes and diabetes in pregnancy under certain conditions. Diabetes mellitus (DM) is recognized as an important risk factor for chronic kidney disease (CKD). Around a third of patients receiving in-center haemodialysis as renal replacement therapy (RRT) have diabetes, either as a direct cause of renal failure or as an additional co-morbidity. Evidence of poor compliance with the current standard of care (self-monitoring of blood glucose [SMBG]) and overall greater morbidity and mortality, suggests this patient population as an ideal target group for CGM. However, there exists no strong published evidence showing the validity of CGM devices in insulin-treated diabetes patients requiring haemodialysis.

methodsWe applied a Freestyle Libre Pro sensor to 69 insulin-treated diabetes haemodialysis (HD) patients on a dialysis day. Interstitial glucose levels were obtained, and time matched within 7 minutes to capillary blood glucose testing and any plasma blood glucose levels sent. Data cleansing techniques were applied to account for rapidly correcting hypoglycaemia and poor SMBG technique.

resultsClarke-error grid analysis showed 97.9% of glucose values in an acceptable range of agreement (97.3% on dialysis days and 99.1% on non-dialysis days).

conclusionsWe conclude that the Freestyle Libre sensor is accurate in measuring glucose levels when compared to glucose as measured by capillary SMBG testing and laboratory obtained serum glucose in patients on HD.

Indexed as

Diabetes Mellitus, Type 1InsulinBlood GlucoseBlood Glucose Self-MonitoringFemaleHumansInsulin, Regular, HumanPregnancyRenal DialysisBlood GlucoseInsulinInsulin, Regular, Humancontinuous glucose monitoringglucose variabilityhaemodialysisLibreself-monitoring of blood glucose

Identifiers

PMID37148160
PMCPMC10347996
OpenAlexW4372333310

What OpenQuestion holds

Textmetadata
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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.