Evidence map›Paper›PMID 42776165›Full record

ReviewDiabetologia2026

Insulin pens and the digital ecosystem.

Johan Jendle, Peter Adolfsson, Roque Cardona-Hernandez, Laurent Crenier, Sergio Di Molfetta, Dominic Ehrmann, Francesco Giorgino, Martin Haluzik, Irl B Hirsch, Concetta Irace and 15 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Diabetologia, 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

25 authors.

Johan JendleSchool of Medicine, Department of Health Sciences, Örebro University, Örebro, Sweden. johan.jendle@oru.se.ORCID http://orcid.org/0000-0003-1025-1682
Peter AdolfssonDepartment of Diabetes, Högsbo Hospital, Gothenburg, Sweden.ORCID http://orcid.org/0000-0001-7615-9737
Roque Cardona-HernandezDivision of Paediatric Endocrinology, Hospital Sant Joan de Déu, Barcelona, Spain.ORCID http://orcid.org/0000-0002-7067-1657
Laurent CrenierDepartment of Endocrinology, Hôpital Universitaire de Bruxelles - Hôpital Erasme, Brussels, Belgium.ORCID http://orcid.org/0000-0003-2326-4108
Sergio Di MolfettaEndocrinology Unit, University Hospital 'Consorziale Policlinico' of Bari, Bari, Italy.ORCID http://orcid.org/0000-0003-3454-7330
Dominic EhrmannResearch Institute Diabetes Academy Bad Mergentheim (FIDAM), Bad Mergentheim, Germany.ORCID http://orcid.org/0000-0002-5794-5596
Francesco GiorginoEndocrinology Unit, University Hospital 'Consorziale Policlinico' of Bari, Bari, Italy.ORCID http://orcid.org/0000-0001-7372-2678
Martin HaluzikDiabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.ORCID http://orcid.org/0000-0002-0201-6888
Irl B HirschUW Medical Center-Montlake, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1675-8417
Concetta IraceDepartment of Health Science, University Magna Grᴂcia, Catanzaro, Italy.ORCID http://orcid.org/0000-0001-5182-5473
Amy JolleySalford Care Organisation, Northern Care Alliance, Salford, UK.ORCID http://orcid.org/0009-0009-8487-0778
David C KlonoffDiabetes Research Institute, Sutter Mills Peninsula Medical Center (Sutter Health Research Institute), San Mateo, CA, USA.ORCID http://orcid.org/0000-0001-6394-6862
Jens KrögerCenter for Digital Diabetology, Hamburg, Germany.ORCID http://orcid.org/0009-0008-1759-8252
Julia K MaderDivision of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0001-7854-4233
Kirsten NørgaardSteno Diabetes Center Copenhagen, Herlev, Denmark.ORCID http://orcid.org/0000-0003-1620-8271
Jannie Toft Damsgaard NørlevDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.ORCID http://orcid.org/0000-0002-0951-6949
Nick OliverDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-3525-3633
Ulrik Pedersen-BjergaardDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-0588-4880
Eric RenardDepartement of Endocrinology and Diabetology, Montpellier University Hospital, and Institute of Functional Genomics, CNRS, Inserm, University of Montpellier, Montpellier, France.ORCID http://orcid.org/0000-0002-3407-7263
Sandra SchlueterSpecialist Diabetes Practice Northeim, Outpatient Education and Treatment Centre, Northeim, Germany.ORCID http://orcid.org/0000-0002-5538-2881
Signe SchmidtSteno Diabetes Center Copenhagen, Herlev, Denmark.ORCID http://orcid.org/0000-0002-6968-6675
Susanne Reger-TanDepartment of Diabetes and Endocrinology, Heart and Diabetes Center NRW, University Hospital Ruhr University Bochum, Bad Oeynhausen, Germany.ORCID http://orcid.org/0000-0003-2692-8643
Inge van BoxelaerDepartment of Endocrinology, General Hospital Sint-Lucas, Ghent, Belgium.ORCID http://orcid.org/0009-0000-0009-9598
Emma G WilmotDepartment of Diabetes & Endocrinology, Royal Derby Hospital, University Hospitals of Derby and Burton NHS Trusts, Derby, UK.ORCID http://orcid.org/0000-0002-8698-6207
Lutz HeinemannScience Consulting in Diabetes GmbH, Düsseldorf, Germany. l.heinemann@science-co.com.ORCID http://orcid.org/0000-0003-2493-1304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin has been used for over a century for the treatment of diabetes and, since the mid-1980s, there has been a rapid development of insulin administration tools. Over the last decade, several medical products used for diabetes management have been connected to a digital ecosystem. This connectivity includes sophisticated monitoring of not only glucose levels but also of insulin delivery (type, dose, time of dosing). It facilitates interactions between people with diabetes, various diabetes technology devices and healthcare professionals. This white paper aims to discuss and categorise different types of insulin pens, connected insulin pens and caps, as well as smart insulin pen systems (SPSs) that are available on the market. Connected pens capture data to provide information about the details of the insulin applied. SPSs are paired with a continuous glucose monitoring (CGM) system and, by means of integrated algorithms, can provide individualised dose calculation based on a variety of factors. These SPSs can also recommend insulin doses based on current and projected glucose and insulin data; this feature requires a connection to a CGM system. Yet what are the clinical advantages of SPSs? What added value does this system bring to individuals living with diabetes and their healthcare providers? In a narrative review, we discuss the current regulatory pathways and market environment as well as the influencing factors of connected insulin pens vs SPSs. We aim to provide a rationale and justification for this categorisation based on (smart) design aspects, regulatory considerations and clinical outcomes. This review concludes that while standard insulin pens remain a safe and commonly offered option, connected insulin pens and SPSs are likely to show improvement in glycaemic management, treatment adherence and patient satisfaction, and represent a significant advancement in diabetes care. However, further research including high-quality clinical and health economic studies will be vital in substantiating the value of both connected insulin pens and SPSs and driving broader acceptance among payers and healthcare systems.

Indexed as

AID systemsBolus calculatorCapConnected insulin pensInsulin pensInsulin therapyReviewSmart capSmart insulin pen systemsSmart pens

Identifiers

What OpenQuestion 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 OpenQuestion graph.