Evidence map›Paper›PMID 41157817›Full record

SynthesisEndocrinology, diabetes & metabolism2025

Efficacy and Safety of iLet Bionic Pancreas in Patients With Type 1 Diabetes Mellitus: A Systematic Review and Meta Analysis.

Sunny Kumar, F N U Aakash, Nisha Kumari, Chandar Kanta Lohana, Alina Abbas, F N U Gyaneshwari, Raveena Kumari, F N U Eman, Reena Bai, Saifullah Syed and 5 more

Erratum issuedAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Endocrinology, diabetes & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Sunny KumarWright Center for Graduate Medical Education, Scranton, Pennsylvania, USA.
F N U AakashFlorida State University, Tallahassee, Florida, USA.
Nisha KumariLiaquat National and Medical College, Karachi, Pakistan.
Chandar Kanta LohanaLiaquat National and Medical College, Karachi, Pakistan.
Alina AbbasKing Edward Medical University, Lahore, Pakistan.
F N U GyaneshwariLiaquat National and Medical College, Karachi, Pakistan.
Raveena KumariUnited Medical and Dental College, Karachi, Pakistan.
F N U EmanLiaquat National and Medical College, Karachi, Pakistan.
Reena BaiLiaquat National and Medical College, Karachi, Pakistan.
Saifullah SyedRoyal College of Surgeons, Dublin, Ireland.
Mahveer MaheshwariLiaquat National and Medical College, Karachi, Pakistan.
Rahul RaiLiaquat National and Medical College, Karachi, Pakistan.
Faiqa IqbalShaheed Mohtarma Benazir Bhutto Medical College, Karachi, Pakistan.
Mohammad JawwadDow University of Health and Sciences, Karachi, Pakistan.
Hira RiazKabul University of Medical Sciences Abu Ali Ibn Sina, Kabul, Afghanistan.ORCID https://orcid.org/0009-0008-7498-5937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis systematic review and meta-analysis evaluated the efficacy and safety of the iLet bionic pancreas (iLet BP), a novel automated insulin delivery (AID) system, in managing type 1 diabetes. Unlike conventional AID systems, which require user input for insulin dosing, the iLet BP autonomously determines insulin delivery based solely on body weight. The study synthesized data from five randomized controlled trials (RCTs), comprising a total of 1130 patients, comparing iLet BP with standard care (SC). OUTCOMES ASSESSED: Primary outcomes included changes in HbA1c, mean glucose levels, and time in target glucose range (70-180 mg/dL), measured via continuous glucose monitoring (CGM). Secondary outcomes assessed adverse events and hypoglycaemia. KEY

findingsResults demonstrated that the iLet BP significantly improved glycaemic control. The pooled analysis showed a standardised mean difference (SMD) in HbA1c of -0.50 [-0.63, -0.38] and in mean glucose levels of -0.36 [-0.50, -0.21] favouring iLet BP. Time in target glucose range was significantly higher with iLet BP (SMD: 0.58 [0.43, 0.73]). However, the odds of adverse events were notably higher in the iLet BP group (OR: 15.48 [8.07, 29.70]), while the risk of hypoglycaemia (OR: 2.22 [0.83, 5.94]) was not statistically significant.

conclusionIn conclusion, the iLet BP shows strong potential in improving glycaemic outcomes in patients with type 1 diabetes. However, concerns remain regarding its safety profile, particularly related to adverse events. Further large-scale, high-quality studies are needed to confirm its effectiveness and ensure broader clinical applicability.

Indexed as

Diabetes Mellitus, Type 1Hypoglycemic AgentsInsulinInsulin Infusion SystemsPancreas, ArtificialBionicsBlood GlucoseHumansHypoglycemiaRandomized Controlled Trials as TopicTreatment OutcomeBlood GlucoseHypoglycemic AgentsInsulincontinuous glucose monitoringendocrine disorderiLet bionic pancreasinsulintype 1 diabetes

Identifiers

PMID41157817
PMCPMC12568523

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.