dc.contributor.author
Knoll, Christine
dc.contributor.author
Peacock, Sofia
dc.contributor.author
Wäldchen, Mandy
dc.contributor.author
Cooper, Drew
dc.contributor.author
Aulakh, Simran Kaur
dc.contributor.author
Raile, Klemens
dc.contributor.author
Hussain, Sufyan
dc.contributor.author
Braune, Katarina
dc.date.accessioned
2022-12-08T16:11:08Z
dc.date.available
2022-12-08T16:11:08Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/37228
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-36940
dc.description.abstract
Aims: Several commercial and open-source automated insulin dosing (AID) systems have recently been developed and are now used by an increasing number of people with diabetes (PwD). This systematic review explored the current status of real-world evidence on the latest available AID systems in helping to understand their safety and effectiveness.
Methods: A systematic review of real-world studies on the effect of commercial and open-source AID system use on clinical outcomes was conducted employing a devised protocol (PROSPERO ID 257354).
Results: Of 441 initially identified studies, 21 published 2018-2021 were included: 12 for Medtronic 670G; one for Tandem Control-IQ; one for Diabeloop DBLG1; two for AndroidAPS; one for OpenAPS; one for Loop; three comparing various types of AID systems. These studies found that several types of AID systems improve Time-in-Range and haemoglobin A1c (HbA1c ) with minimal concerns around severe hypoglycaemia. These improvements were observed in open-source and commercially developed AID systems alike.
Conclusions: Commercially developed and open-source AID systems represent effective and safe treatment options for PwD of several age groups and genders. Alongside evidence from randomized clinical trials, real-world studies on AID systems and their effects on glycaemic outcomes are a helpful method for evaluating their safety and effectiveness.
en
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
automated insulin delivery
en
dc.subject
automated insulin dosing
en
dc.subject
diabetes mellitus
en
dc.subject
diabetes technology
en
dc.subject
real-world evidence
en
dc.subject
type 1 diabetes
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Real‐world evidence on clinical outcomes of people with type 1 diabetes using open‐source and commercial automated insulin dosing systems: A systematic review
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
e14741
dcterms.bibliographicCitation.doi
10.1111/dme.14741
dcterms.bibliographicCitation.journaltitle
Diabetic Medicine
dcterms.bibliographicCitation.number
5
dcterms.bibliographicCitation.originalpublishername
Wiley
dcterms.bibliographicCitation.volume
39
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.funding
DEAL Wiley
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
34773301
dcterms.isPartOf.issn
0742-3071
dcterms.isPartOf.eissn
1464-5491