Evidence map›Paper›PMID 31126048›Full record

ArticleNutrients2019

Comprehensive Analysis of the Real Lifestyles of T1D Patients for the Purpose of Designing a Personalized Counselor for Prandial Insulin Dosing.

Katerina Stechova, Jan Hlubik, Pavlina Pithova, Petr Cikl, Lenka Lhotska

Abstract read
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Katerina StechovaDepartment of Internal Medicine, University Hospital Motol, V Uvalu 84, 15006 Prague 5-Motol, Czech Republic. katerina.stechova@fnmotol.cz.ORCID 0000-0003-4101-0603
Jan HlubikThe Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Jugoslavskych partyzanu 1580/3, 160 00 Prague, Czech Republic. hlubikjan@post.cz.
Pavlina PithovaDepartment of Internal Medicine, University Hospital Motol, V Uvalu 84, 15006 Prague 5-Motol, Czech Republic. pavlina.pithova@fnmotol.cz.
Petr CiklFitsport Complex Inc., Polní 1006/11, 664 91 Ivancice, Czech Republic. petrcikl@seznam.cz.
Lenka LhotskaThe Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Jugoslavskych partyzanu 1580/3, 160 00 Prague, Czech Republic. lenka.lhotska@cvut.cz.ORCID 0000-0003-0742-5645

Funding

The Czech Health Research Council No.15-25710A (P08 panel)
6 · The paper itself

Abstract

Post-prandial hyperglycemia is still a challenging issue in intensified insulin therapy. Data of 35 T1D patients during a four-week period were analyzed: RT-CGM (real time continuous glucose monitoring) record, insulin doses, diet (including meal photos), energy expenditure, and other relevant conditions. Patients made significant errors in carbohydrate counting (in 56% of cooked and 44% of noncooked meals), which resulted in inadequate insulin doses. Subsequently, a mobile application was programmed to provide individualized advice on prandial insulin dose. When using the application, a patient chooses only the type of categorized situation (e.g., meals with other relevant data) without carbohydrates counting. The application significantly improved postprandial glycemia as normoglycemia was reached in 95/105 testing sessions. Other important findings of the study include: A high intake of saturated fat (median: 162% of recommended intake); a low intake of fiber and vitamin C (median: 42% and 37%, respectively, of recommended intake); an increase in overweight/obesity status (according to body fat measurement), especially in women (median of body fat: 30%); and low physical activity (in 16/35 patients). The proposed individualized approach without carbohydrate counting may help reach postprandial normoglycemia but it is necessary to pay attention to the lifestyle habits of T1D patients too.

Indexed as

Cell PhoneDrug Dosage CalculationsLife StyleMobile ApplicationsPostprandial PeriodAdultBiomarkersBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Dietary CarbohydratesEnergy MetabolismExerciseFeeding BehaviorFemaleHumansBiomarkersBlood GlucoseDietary CarbohydratesHypoglycemic AgentsInsulincarbohydrate countingdietmobile applicationobesityoverweightpostprandial glycaemiaprandial insulin bolustype 1 diabetes

Identifiers

PMID31126048
PMCPMC6567095

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Registered trials

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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.