Evidence map›Paper›PMID 41058520›Full record

SynthesisDiabetes, obesity & metabolism2026

A systematic literature review and meta-analysis of real-world evidence on commercially available automated insulin delivery systems in people with type 1 diabetes.

Johannes Pöhlmann, Jayne Smith-Palmer, Erik H Serné, Anna-Kaisa Tuomaala, Johan Jendle, Pratik Choudhary, Emanuele Bosi, Viswanathan Mohan, Tim van den Heuvel, Ohad Cohen and 1 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. 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

11 authors.

Johannes PöhlmannCovalence Research, Harpenden, UK.ORCID 0000-0002-8065-755X
Jayne Smith-PalmerCovalence Research, Harpenden, UK.ORCID 0000-0001-6049-1241
Erik H SernéDepartment of Internal Medicine, Amsterdam UMC, Amsterdam, Netherlands.ORCID 0000-0003-0657-7225
Anna-Kaisa TuomaalaDepartment of Gynaecology and Paediatrics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0001-8081-188X
Johan JendleDiabetes Endocrinology and Metabolism Research Center, Örebro University, Örebro, Sweden.ORCID 0000-0003-1025-1682
Pratik ChoudharyDepartment of Population Health Sciences, King's College London, London, UK.ORCID 0000-0001-7635-4735
Emanuele BosiDepartment of Internal Medicine, Diabetology, Endocrinology and Metabolism, Vita Salute San Raffaele University, Milan, Italy.ORCID 0000-0002-2371-2495
Viswanathan MohanDr. Mohan's Diabetes Specialities Centre, IDF Centre of Excellence in Diabetes, Chennai, India.ORCID 0000-0003-2263-3725
Tim van den HeuvelDiabetes OU, Medtronic, Tolochenaz, Switzerland.ORCID 0000-0002-3907-6876
Ohad CohenDiabetes OU, Medtronic, Tolochenaz, Switzerland.ORCID 0000-0003-4337-1795
Richard F PollockCovalence Research, Harpenden, UK.ORCID 0000-0002-9873-7507

Funding

Medtronic
6 · The paper itself

Abstract

aimsAutomated insulin delivery (AID) is part of the standard of care for type 1 diabetes (T1D), but real-world evidence (RWE) comparing AID systems remains limited. A systematic review and meta-analysis was conducted for outcomes across commercially available AID systems in real-world settings. MATERIALS AND

methodsPubMed and Embase were searched to March 2025 for RWE studies of commercial AID systems in ambulatory people with T1D. Eligible studies had n ≥ 250 with ≥10 days of continuous glucose monitoring data. Main outcomes were time in range (TIR) and glycated haemoglobin (HbA1c). Random-effects meta-analyses with AID system as moderator were performed, including scenario analyses by age and optimal device settings.

resultsThirty-six records covering 34 studies with 635 463 users were included. Studies evaluated MiniMed™ 780G (n = 16), Control-IQ™ (n = 9), MiniMed™ 670G (n = 6), and other systems (≤3 studies each). Meta-analysis demonstrated frequently statistically significant between-system differences in TIR, ranging from 60.1% (95% confidence interval [CI] 54.0 to 65.9) for Omnipod® 5 to 73.9% (95% CI 72.3 to 75.5) for MiniMed 780G. For HbA1c, estimates ranged from 6.5% (95% CI 5.4 to 7.7) for Loop to 7.0% (95% CI 6.7 to 7.4) for MiniMed 780G, although differences were not significant. Significant residual heterogeneity was observed. Age was an important effect modifier, with younger users experiencing less favourable outcomes. Optimal device settings improved glycaemic outcomes.

conclusionsRWE demonstrated differences in glycaemic outcomes, including TIR, between commercially available AID systems. User age influenced outcomes for all systems. Results must be interpreted cautiously given challenges and potential biases with RWE.

Indexed as

Diabetes Mellitus, Type 1Hypoglycemic AgentsInsulinInsulin Infusion SystemsBlood GlucoseBlood Glucose Self-MonitoringGlycated HemoglobinHumansBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulinadvanced hybrid closed loopautomated insulin deliveryglycaemic outcomesmeta‐analysissystematic literature review

Identifiers

PMID41058520
PMCPMC12805929

What Socratic holds

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LicenceCC BY-NC
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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.