Evidence map›Paper›PMID 40823608›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2025

Automated Insulin Delivery for Type 1 Diabetes: Present and Future.

Tugce Akcan, Ming Yeh Lee, Leor Needleman, Rayhan A Lal

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Review
  3. Automating Insulin Dosing and Delivery: The Latest in Algorithms, Calculators, and Devices.Diabetes spectrum : a publication of the American Diabetes Association · 2025
    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

4 authors.

Tugce AkcanDivision of Endocrinology, Gerontology and Metabolism, Department of Medicine, Stanford University, Stanford, CA.
Ming Yeh LeeDivision of Pediatric Endocrinology, Department of Pediatrics, Stanford University, Stanford, CA.
Leor NeedlemanDivision of Endocrinology, Gerontology and Metabolism, Department of Medicine, Stanford University, Stanford, CA.
Rayhan A LalDivision of Endocrinology, Gerontology and Metabolism, Department of Medicine, Stanford University, Stanford, CA.ORCID https://orcid.org/0000-0002-8055-944X

Funding

Training Research Leaders in Type 1 DiabetesK12DK122550 · NIDDK · STANFORD UNIVERSITY · PI David Matthew Maahs · 2023 to 2023
$649k
NIDDK NIH HHS K12 DK122550
6 · The paper itself

Abstract

Advancements in automated insulin delivery (AID) systems have transformed type 1 diabetes management, making AID the most effective technology for improving metabolic outcomes and quality of life in individuals with the disease. In this article, we review the available AID systems and their key features through case vignettes that illustrate their real-world applications in type 1 diabetes management. We then examine existing gaps in technology and explore future advancements to further enhance AID functionality and adoption.

Identifiers

PMID40823608
PMCPMC12357200

What Socratic 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 Socratic graph.