Evidence map›Paper›PMID 34111989›Full record

ArticleJournal of diabetes science and technology2022

Accuracy of CGM Systems During Continuous and Interval Exercise in Adults with Type 1 Diabetes.

G Da Prato, S Pasquini, E Rinaldi, T Lucianer, S Donà, L Santi, C Negri, E Bonora, P Moghetti, M Trombetta

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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

10 authors at 1 institution in 1 country.

G Da PratoDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, University and Hospital of Verona, Verona, Italy.ORCID 0000-0003-1944-5192
S PasquiniDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, University and Hospital of Verona, Verona, Italy.
E RinaldiDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, University and Hospital of Verona, Verona, Italy.
T LucianerDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, University and Hospital of Verona, Verona, Italy.
S DonàDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, University and Hospital of Verona, Verona, Italy.
L SantiDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, University and Hospital of Verona, Verona, Italy.
C NegriDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, University and Hospital of Verona, Verona, Italy.
E BonoraDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, University and Hospital of Verona, Verona, Italy.
P MoghettiDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, University and Hospital of Verona, Verona, Italy.
M TrombettaDepartment of Medicine, Division of Endocrinology, Diabetes and Metabolism, University and Hospital of Verona, Verona, Italy.
University of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundcontinuous glucose monitoring systems (CGMs) play an important role in the management of T1D, but their accuracy may reduce during rapid glucose excursions. The aim of study was to assess the accuracy of recent rt-CGMs available in Italy, in subjects with T1D during 2 sessions of physical activity: moderate continuous (CON) and interval exercise (IE).

methodwe recruited 22 patients with T1D, on CSII associated or integrated with a CGM, to which a second different sensor was applied. Data recorded by CGMs were compared with the corresponding plasma glucose (PG) values, measured every 5 minutes with the glucose analyzer. To assess the accuracy of the CGMs, we evaluated the Sensor Bias (SB), the Mean Absolute Relative Difference (MARD) and the Clarke error grid (CEG).

resultsa total of 2355 plasma-sensor glucose paired points were collected. Both average plasma and interstitial glucose concentrations did not significantly differ during CON and IE. During CON: 1. PG change at the end of exercise was greater than during IE (

conclusionsthe exercise affects the accuracy of currently available CGMs, especially during CON, suggesting, in this circumstance, the need to maintain blood glucose in a "prudent" range, above that generally recommended. Further studies are needed to investigate additional types of activities.

Indexed as

Diabetes Mellitus, Type 1AdultBlood GlucoseBlood Glucose Self-MonitoringExerciseGlucoseHumansInsulin Infusion SystemsReproducibility of ResultsBlood GlucoseGlucoseaccuracyCGMexerciseT1D

Identifiers

PMID34111989
PMCPMC9631517
OpenAlexW3167853899

What OpenQuestion holds

Textmetadata
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.