Decision Support Tool for Self-Management of Insulin Dosing in Type 1 Diabetes with Multiple Daily Injections: A Proof-of-Concept Study

Decision support tool for self-managed insulin dosing in individuals with T1D using MDI was feasible, safe, and improved glycemic control, supporting further evaluation in large-scale randomized trials.

Authors

Institutions

Publication Details

Journal
Diabetes Technology & Therapeutics
Published
2025-09-23
DOI
https://doi.org/10.1177/15209156251380860
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decision Support Tool for Self-Management of Insulin Dosing in Type 1 Diabetes with Multiple Daily Injections: A Proof-of-Concept Study

Eran Atlas, Revital Nimri, Ido Muller, Naama Fisch Shvalb et al.
Diabetes Technology & Therapeutics
Diabetes Management and Research
article

Decision Support Tool for Self-Management of Insulin Dosing in Type 1 Diabetes with Multiple Daily Injections: A Proof-of-Concept Study

Eran Atlas, Revital Nimri, Ido Muller, Naama Fisch Shvalb, Moshe Phillip, Anat Raz, Sarit Weizman Demri
article en

Abstract

Decision support tool for self-managed insulin dosing in individuals with T1D using MDI was feasible, safe, and improved glycemic control, supporting further evaluation in large-scale randomized trials.

Diabetes Technology & TherapeuticsVol. 28(4)
Tel Aviv University (IL), Schneider Children's Medical Center (IL), Geha Mental Health Center (IL)
Openalex Percentile: Top 65%
Diabetes Management and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.