Evidence map›Paper›PMID 36992745›Full record

ArticleFrontiers in clinical diabetes and healthcare2022

Digital algorithm-guided insulin therapy in home healthcare for elderly persons with type 2 diabetes: A proof-of-concept study.

Julia Kopanz, Julia K Mader, Klaus Donsa, Angela Libiseller, Felix Aberer, Marlene Pandis, Johanna Reinisch-Gratzer, Gisela C Ambrosch, Bettina Lackner, Thomas Truskaller and 3 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in clinical diabetes and healthcare, 2022. 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
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

13 authors at 3 institutions in 1 country.

Julia KopanzDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Julia K MaderDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Klaus DonsaJOANNEUM RESEARCH Forschungsgesellschaft mbH, HEALTH, Institute for Biomedicine and Health Sciences, Graz, Austria.
Angela LibisellerDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Felix AbererDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Marlene PandisDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Johanna Reinisch-GratzerAUSTRIAN RED CROSS, Graz, Austria.
Gisela C AmbroschAUSTRIAN RED CROSS, Graz, Austria.
Bettina LacknerJOANNEUM RESEARCH Forschungsgesellschaft mbH, HEALTH, Institute for Biomedicine and Health Sciences, Graz, Austria.
Thomas TruskallerJOANNEUM RESEARCH Forschungsgesellschaft mbH, HEALTH, Institute for Biomedicine and Health Sciences, Graz, Austria.
Frank Michael SinnerDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Thomas R PieberDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Katharina M LichteneggerDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Medical University of Graz · ATJoanneum Research · ATAustrian Red Cross · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GlucoTab@MobileCare, a digital workflow and decision support system with integrated basal and basal-plus insulin algorithm was investigated for user acceptance, safety and efficacy in persons with type 2 diabetes receiving home health care by nurses. During a three months study nine participants (five female, age 77 ± 10 years, HbA1c 60 ± 13 mmol/mol (study start) vs. 57 ± 12 mmol/mol (study end) received basal or basal-plus insulin therapy as suggested by the digital system. In total 95% of all suggested tasks (blood glucose (BG) measurements, insulin dose calculations, insulin injections) were performed according to the digital system. Mean morning BG was 171 ± 68 mg/dL in the first study month vs. 145 ± 35 mg/dL in the last study month, indicating a reduced glycemic variability of 33 mg/dL (standard deviation). No hypoglycemic episode < 54 mg/dL occurred. User's adherence was high and the digital system supported a safe and effective treatment. Larger scale studies are needed to confirm findings under routine care. German Clinical Trials Register ID: DRKS00015059.

Indexed as

algorithmdigitalelderlyhome healthcareinsulin therapytype 2 diabetes

Identifiers

PMID36992745
PMCPMC10012122
OpenAlexW4296995161

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read9
measurements read45
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.