Evidence mapPaperPMID 34547133Full record

ReviewDiabetic medicine : a journal of the British Diabetic Association2021

Automated insulin dosing systems: Advances after a century of insulin.

Hood Thabit, Rayhan Lal, Lalantha Leelarathna

Open access · greenAbstract readReview
In one paragraph

Review in Diabetic medicine : a journal of the British Diabetic Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Insulin Delivery Hardware: Pumps and Pens.Diabetes technology & therapeutics · 2023
    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

3 authors at 2 institutions in 2 countries.

Hood ThabitManchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.ORCID 0000-0001-6076-6997
Rayhan LalDivision of Endocrinology, Department of Medicine & Paediatrics, Stanford University, Stanford, California, USA.
Lalantha LeelarathnaManchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
Manchester Academic Health Science Centre · GBStanford Medicine · US

Funding

Stanford Islet Research CoreP30DK116074 · STANFORD UNIVERSITY · 2025 to 2025
$2.0M
NIDDK NIH HHS K23 DK122017NIDDK NIH HHS P30 DK116074
6 · The paper itself

Abstract

The daily complexities of insulin therapy and glucose variability in type 1 diabetes still pose significant challenges, despite advancements in modern insulin analogues. Minimising hypoglycaemia and optimising time spent within target glucose range are recommended to reduce the risk of diabetes-related complications and distress. Access to structured education and adjuvant diabetes technologies, such as insulin pumps and glucose sensors, are recommended by National Institute for Health and Care Excellence (NICE) to enable people with type 1 diabetes achieve their glycaemic goals. One hundred years after the discovery of insulin, automated insulin dosing (AID, a.k.a. closed loop or artificial pancreas) systems are a reality with a number of systems available and being used in usual clinical practice. Evidence from randomised clinical trials and real-world prospective studies support efficacy, effectiveness and safety of AID systems. Qualitative evaluations reveal treatment satisfaction and positive effects on quality of life. Current insulin-only AID systems still require carbohydrate and activity announcement (hybrid closed loop) due to the inherent pharmacokinetic limitations of rapid-acting insulin analogies. Ultra-rapid acting insulin and adjunctive use of other therapies (e.g. glucagon, pramlitide) are being evaluated to achieve full closed loop. Open-source AID (OS-AID) systems have been developed by the diabetes community, driven by a desire for safety and to accelerate technological advancement. In addition to effectiveness and safety, real-world prospective studies suggest that OS-AID systems fulfil unmet needs of commercially approved systems. The development, ongoing challenges and expectations of AID are outlined in this review.

Indexed as

Insulin Infusion SystemsPancreas, ArtificialQuality of LifeBlood GlucoseDiabetes Mellitus, Type 1HumansHypoglycemic AgentsInsulinBlood GlucoseHypoglycemic AgentsInsulin

Identifiers

PMID34547133
PMCPMC8763058
OpenAlexW3200858017

What Socratic holds

Textmetadata
LicenceTDM
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.