Evidence map›Paper›PMID 41743174›Full record

ArticleJCEM case reports2026

Implementation of a Hybrid Closed-Loop Automated Insulin Delivery System in a 29-Day Infant With Neonatal Diabetes.

Alexandra L Ghaben, Christine Byer-Mendoza, Kimberly McNamara, Andrea Huber, Anna L Cymbaluk, Puja Singh

Abstract readCase Reports
In one paragraph

Article in JCEM case reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Alexandra L GhabenDepartment of Pediatrics, Division of Endocrinology, University of California, San Diego, CA 92093-0734, USA.ORCID https://orcid.org/0000-0001-7377-7820
Christine Byer-MendozaDepartment of Endocrinology, Rady Children's Hospital, San Diego, CA 92123-4282, USA.
Kimberly McNamaraDepartment of Endocrinology, Rady Children's Hospital, San Diego, CA 92123-4282, USA.
Andrea HuberDepartment of Endocrinology, Rady Children's Hospital, San Diego, CA 92123-4282, USA.
Anna L CymbalukDepartment of Pediatrics, Division of Endocrinology, University of California, San Diego, CA 92093-0734, USA.
Puja SinghDepartment of Pediatrics, Division of Endocrinology, University of California, San Diego, CA 92093-0734, USA.ORCID https://orcid.org/0009-0001-6541-8534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal diabetes mellitus (NDM) often requires insulin treatment to maintain adequate glycemic control and support growth and development. Conventional insulin treatment regimens are particularly challenging in NDM due to young age, developmentally appropriate feeding variation, and heightened insulin sensitivity leading to very small insulin dosing. We present this case as-to our knowledge-the earliest implementation of a hybrid closed-loop (HCLS) automated insulin delivery system in an NDM patient. HCLS with U10 significantly improved glycemic control compared to conventional insulin delivery with minimization of hypoglycemia. The adaptive capabilities of HCLS allowed for developmentally appropriate, ad libitum feeding without carbohydrate quantification, resulting in a meaningful quality of life improvement. This case adds to evidence supporting safe and effective use of diabetes technology in very young children. It demonstrates that the benefits seen in older populations can be achieved in neonatal patients and supports expanding clinical use of HCLS systems in this setting.

Indexed as

hybrid closed loop systeminsulin pumpneonatal diabetes

Identifiers

PMID41743174
PMCPMC12930193

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.