Evidence map›Paper›PMID 32914640›Full record

ArticleJournal of diabetes science and technology2021

Safe and Sufficient Glycemic Control by Using a Digital Clinical Decision Support System for Patients With Type 2 Diabetes in a Routine Setting on General Hospital Wards.

Katharina M Lichtenegger, Felix Aberer, Alexandru C Tuca, Klaus Donsa, Bernhard Höll, Lukas Schaupp, Johannes Plank, Peter Beck, Friedrich M Fruhwald, Lars-Peter Kamolz and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. EndoBridge 2025: pearls and highlights.Hormones (Athens, Greece) · 2026
    Review
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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

12 authors at 2 institutions in 1 country.

Katharina M LichteneggerDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Austria.ORCID 0000-0001-8778-1994
Felix AbererDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Austria.
Alexandru C TucaDepartment of Surgery, Division of Plastic, Aesthetic and Reconstructive Surgery, Medical University of Graz, Austria.
Klaus DonsaJoanneum Research GmbH, HEALTH, Institute for Biomedicine and Health Sciences, Austria.
Bernhard HöllJoanneum Research GmbH, HEALTH, Institute for Biomedicine and Health Sciences, Austria.
Lukas SchauppDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Austria.
Johannes PlankDepartment of Internal Medicine, Division of Gastroenterology and Hepatology, Medical University of Graz, Austria.
Peter BeckJoanneum Research GmbH, HEALTH, Institute for Biomedicine and Health Sciences, Austria.
Friedrich M FruhwaldDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, Austria.
Lars-Peter KamolzDepartment of Surgery, Division of Plastic, Aesthetic and Reconstructive Surgery, Medical University of Graz, Austria.
Thomas R PieberDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Austria.
Julia K MaderDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Austria.ORCID 0000-0001-7854-4233
Medical University of Graz · ATJoanneum Research · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim was to investigate the applicability of a clinical decision support system in a real-world inpatient setting for patients with type 2 diabetes on general hospital wards.A total of 150 patients with type 2 diabetes requiring subcutaneous insulin therapy were treated with basal-bolus insulin therapy guided by a decision support system (GlucoTab) providing automated workflow tasks and suggestions for insulin dosing to health care professionals.By using the system, a mean daily blood glucose (BG) of 159 ± 32 mg/dL was achieved. 68.8% of measurements were in the target range (70 to <180 mg/dL). The percentage of BG values <40, <70, and ≥300 mg/dL was 0.02%, 2.2%, and 2.3%, respectively. Health care professionals' adherence to suggested insulin doses and workflow tasks was high (>93% and 91%, respectively).The decision support system facilitates safe and efficacious inpatient diabetes care by standardizing treatment workflow and providing decision support for basal-bolus insulin dosing.

Indexed as

Decision Support Systems, ClinicalDiabetes Mellitus, Type 2Blood GlucoseGlycemic ControlHospitals, GeneralHumansHypoglycemic AgentsInsulinBlood GlucoseHypoglycemic AgentsInsulinalgorithmdecision supporthospitalinsulin therapymobile applicationstype 2 diabetes

Identifiers

PMID32914640
PMCPMC8256070
OpenAlexW3085316593

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.