Evidence map›Paper›PMID 23445170›Full record

ArticleDiabetes technology & therapeutics2013

Accuracy of continuous glucose monitoring during exercise in type 1 diabetes pregnancy.

Kavita Kumareswaran, Daniela Elleri, Janet M Allen, Karen Caldwell, Marianna Nodale, Malgorzata E Wilinska, Stephanie A Amiel, Roman Hovorka, Helen R Murphy

Open access · greenAbstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.5field-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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  13. CGM, Pregnancy, and Remote Monitoring.Diabetes technology & therapeutics · 2017
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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 2 institutions in 2 countries.

Kavita KumareswaranUniversity of Cambridge Metabolic Research Laboratories and National Institute for Health Research Cambridge Biomedical Research Centre, Cambridge, United Kingdom. kk426@medschl.cam.ac.uk
Daniela Elleri
Janet M Allen
Karen Caldwell
Marianna Nodale
Malgorzata E Wilinska
Stephanie A Amiel
Roman Hovorka
Helen R Murphy
National Institute for Health Research · GBKing's College - North Carolina · US

Funding

Department of Health CDF-2013-06-035Department of Health PDF/01/036Medical Research Council G0600717
6 · The paper itself

Abstract

backgroundPerformance of continuous glucose monitors (CGMs) may be lower when glucose levels are changing rapidly, such as occurs during physical activity. Our aim was to evaluate accuracy of a current-generation CGM during moderate-intensity exercise in type 1 diabetes (T1D) pregnancy. SUBJECTS AND

methodsAs part of a study of 24-h closed-loop insulin delivery in 12 women with T1D (disease duration, 17.6 years; glycosylated hemoglobin, 6.4%) during pregnancy (gestation, 21 weeks), we evaluated the Freestyle Navigator(®) sensor (Abbott Diabetes Care, Alameda, CA) during afternoon (15:00-18:00 h) and morning (09:30-12:30 h) exercise (55 min of brisk walking on a treadmill followed by a 2-h recovery), compared with sedentary conditions (18:00-09:00 h). Plasma (reference) glucose, measured at regular 15-30-min intervals with the YSI Ltd. (Fleet, United Kingdom) model YSI 2300 analyzer, was used to assess CGM performance.

resultsSensor accuracy, as indicated by the larger relative absolute difference (RAD) between paired sensor and reference glucose values, was lower during exercise compared with rest (median RAD, 11.8% vs. 18.4%; P<0.001). These differences remained significant when correcting for plasma glucose relative rate of change (P<0.001). Analysis by glucose range showed lower accuracy during hypoglycemia for both sedentary (median RAD, 24.4%) and exercise (median RAD, 32.1%) conditions. Using Clarke error grid analysis, 96% of CGM values were clinically safe under resting conditions compared with only 87% during exercise.

conclusionsCompared with sedentary conditions, accuracy of the Freestyle Navigator CGM was lower during moderate-intensity exercise in pregnant women with T1D. This difference was particularly marked in hypoglycemia and could not be solely explained by the glucose rate of change associated with physical activity.

Indexed as

Motor ActivitySedentary BehaviorAdultBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Exercise TestFemaleGlycated HemoglobinHumansHypoglycemic AgentsInsulinInsulin Infusion SystemsMonitoring, AmbulatoryPregnancyPregnancy in DiabeticsBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulin

Identifiers

PMID23445170
PMCPMC3598434
OpenAlexW2114004073

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.