Evidence map›Paper›PMID 29522429›Full record

ArticleBiosensors2018

Accuracy of Continuous Glucose Monitoring before, during, and after Aerobic and Anaerobic Exercise in Patients with Type 1 Diabetes Mellitus.

Lyvia Biagi, Arthur Bertachi, Carmen Quirós, Marga Giménez, Ignacio Conget, Jorge Bondia, Josep Vehí

Abstract read
In one paragraph

Article in Biosensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  8. Flash glucose monitoring system in special situations.Archives of endocrinology and metabolism · 2022
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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

7 authors.

Lyvia BiagiInstitut d'Informàtica i Aplicacions, Universitat de Girona, 17003 Girona, Spain. lyviar@utfpr.edu.br.ORCID 0000-0003-3356-8375
Arthur BertachiInstitut d'Informàtica i Aplicacions, Universitat de Girona, 17003 Girona, Spain. abertachi@utfpr.edu.br.
Carmen QuirósDiabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Universitari, IDIBAPS (Institut d'investigacions Biomèdiques August Pi i Sunyer), 08036 Barcelona, Spain. cmquiros@clinic.cat.
Marga GiménezDiabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Universitari, IDIBAPS (Institut d'investigacions Biomèdiques August Pi i Sunyer), 08036 Barcelona, Spain. gimenez@clinic.cat.
Ignacio CongetDiabetes Unit, Endocrinology and Nutrition Department, Hospital Clínic Universitari, IDIBAPS (Institut d'investigacions Biomèdiques August Pi i Sunyer), 08036 Barcelona, Spain. iconget@clinic.cat.
Jorge BondiaCentro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), 28029 Madrid, Spain. jbondia@isa.upv.es.
Josep VehíInstitut d'Informàtica i Aplicacions, Universitat de Girona, 17003 Girona, Spain. josep.vehi@udg.edu.ORCID 0000-0001-6884-9789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous glucose monitoring (CGM) plays an important role in treatment decisions for patients with type 1 diabetes under conventional or closed-loop therapy. Physical activity represents a great challenge for diabetes management as well as for CGM systems. In this work, the accuracy of CGM in the context of exercise is addressed. Six adults performed aerobic and anaerobic exercise sessions and used two Medtronic Paradigm Enlite-2 sensors under closed-loop therapy. CGM readings were compared with plasma glucose during different periods: one hour before exercise, during exercise, and four hours after the end of exercise. In aerobic sessions, the median absolute relative difference (MARD) increased from 9.5% before the beginning of exercise to 16.5% during exercise (

Indexed as

ExerciseAdultBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1FemaleHumansMaleBlood Glucoseaccuracycontinuous glucose monitoringexercisephysical activitytype 1 diabetes

Identifiers

PMID29522429
PMCPMC5872070

What Socratic 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 Socratic graph.