Evidence map›Paper›PMID 31339059›Full record

ArticleJournal of diabetes science and technology2019

Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement.

Emilia Fushimi, Patricio Colmegna, Hernán De Battista, Fabricio Garelli, Ricardo Sánchez-Peña

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
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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

5 authors.

Emilia FushimiGrupo de Control Aplicado (GCA), Instituto LEICI (UNLP-CONICET), Facultad de Ingeniería, Universidad Nacional de La Plata (UNLP), Argentina.ORCID 0000-0001-5820-3108
Patricio ColmegnaConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Argentina.
Hernán De BattistaGrupo de Control Aplicado (GCA), Instituto LEICI (UNLP-CONICET), Facultad de Ingeniería, Universidad Nacional de La Plata (UNLP), Argentina.
Fabricio GarelliGrupo de Control Aplicado (GCA), Instituto LEICI (UNLP-CONICET), Facultad de Ingeniería, Universidad Nacional de La Plata (UNLP), Argentina.
Ricardo Sánchez-PeñaConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Argentina.ORCID 0000-0001-9190-2576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEither under standard basal-bolus treatment or hybrid closed-loop control, subjects with type 1 diabetes are required to count carbohydrates (CHOs). However, CHO counting is not only burdensome but also prone to errors. Recently, an artificial pancreas algorithm that does not require premeal insulin boluses-the so-called automatic regulation of glucose (ARG)-was introduced. In its first pilot clinical study, although the exact CHO counting was not required, subjects still needed to announce the meal time and classify the meal size.

methodAn automatic switching signal generator (SSG) is proposed in this work to remove the manual mealtime announcement from the control strategy. The SSG is based on a Kalman filter and works with continuous glucose monitoring readings only.

resultsThe ARG algorithm with unannounced meals (ARG

conclusion

Indexed as

MealsPancreas, ArtificialAlgorithmsBlood GlucoseBlood Glucose Self-MonitoringComputer SimulationDiabetes Mellitus, Type 1HumansHypoglycemic AgentsInsulinPostprandial PeriodBlood GlucoseHypoglycemic AgentsInsulinartificial pancreascarbohydrate countingsliding mode controlswitched control

Identifiers

PMID31339059
PMCPMC6835180

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.