Evidence map›Paper›PMID 37043824›Full record

ArticleDiabetes care2023

Evaluation of a Fourth-Generation Subcutaneous Real-Time Continuous Glucose Monitor (CGM) in Individuals With Diabetes on Peritoneal Dialysis.

Jack K C Ng, James Ling, Andrea O Y Luk, Eric S H Lau, Ronald C W Ma, Philip K T Li, Cheuk Chun Szeto, Juliana C N Chan, Elaine Chow

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06069518 (Continuous Glucose Monitoring as a Strategy to Optimize Metabolic Control in Patients With Diabetes on Peritoneal Dialysis Therapy Entitled to the IMSS), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.2field-weighted citation impact, top 4% 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.

NCT06069518 unknown statusnot on this map

Continuous Glucose Monitoring as a Strategy to Optimize Metabolic Control in Patients With Diabetes on Peritoneal Dialysis Therapy Entitled to the IMSS

TypeobservationalSponsorCoordinación de Investigación en Salud, MexicoRan2023 to 2024Enrolled110ConditionsKidney Disease, Chronic, Peritoneal Dialysis, Diabetes Mellitus Type 2
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 26 citations in OpenAlex.

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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

9 authors at 1 institution in 2 countries.

Jack K C NgDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
James LingDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
Andrea O Y LukDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
Eric S H LauDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
Ronald C W MaDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
Philip K T LiDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
Cheuk Chun SzetoDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
Juliana C N ChanDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.
Elaine ChowDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR.ORCID 0000-0002-4147-3387
Chinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the performance of a real-time continuous glucose monitor (CGM) in individuals with diabetes on peritoneal dialysis (PD). RESEARCH DESIGN AND

methodsThirty participants with type 2 diabetes on continuous ambulatory PD wore a Guardian Sensor 3 on the upper arm paired with Guardian Connect for 14 days. We compared CGM readings against Yellow Springs Instrument (YSI) venous glucose during an 8-h in-clinic session with glucose challenge.

resultsThe mean absolute relative difference (MARD) was 10.4% (95% CI 9.6, 11.7) from 941 CGM-YSI matched pairs; 81.3% of readings were within %15/15 of YSI values in the full glycemic range. Consensus error grid analysis showed 99.9% of sensor values in zones A and B. There were no correlations between pH, uremia, hydration status, and MARD.

conclusionsWe showed satisfactory performance of a real-time CGM sensor in PD patients with diabetes, supporting future use to facilitate treatment decisions.

Indexed as

Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2Peritoneal DialysisBlood GlucoseBlood Glucose Self-MonitoringHumansReproducibility of ResultsBlood Glucose

Identifiers

PMID37043824
PMCPMC10234746
OpenAlexW4365138379

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.