Evidence map›Paper›PMID 29946127›Full record

ReviewNature reviews. Endocrinology2018

Technology in the management of type 1 diabetes mellitus - current status and future prospects.

Martin Tauschmann, Roman Hovorka

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
12.0field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 152 citations in OpenAlex.

  1. Pooled it
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  5. [Impact of urban economic level on glycemic control in patients with type 1 diabetes mellitus using doZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026
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2 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Martin TauschmannWellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Roman HovorkaWellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK. rh347@cam.ac.uk.ORCID http://orcid.org/0000-0003-2901-461X
University of Cambridge · GB

Funding

Department of Health EME/14/23/09
6 · The paper itself

Abstract

Type 1 diabetes mellitus (T1DM) represents 5-10% of diabetes cases worldwide. The incidence of T1DM is increasing, and there is no immediate prospect of a cure. As such, lifelong management is required, the burden of which is being eased by novel treatment modalities, particularly from the field of diabetes technologies. Continuous glucose monitoring has become the standard of care and includes factory-calibrated subcutaneous glucose monitoring and long-term implantable glucose sensing. In addition, considerable progress has been made in technology-enabled glucose-responsive insulin delivery. The first hybrid insulin-only closed-loop system has been commercialized, and other closed-loop systems are under development, including dual-hormone glucose control systems. This Review focuses on well-established diabetes technologies, including glucose sensing, pen-based insulin delivery, data management and data analytics. We also cover insulin pump therapy, threshold-based suspend, predictive low-glucose suspend and single-hormone and dual-hormone closed-loop systems. Clinical practice recommendations for insulin pump therapy and continuous glucose monitoring are presented, and ongoing research and future prospects are highlighted. We conclude that the management of T1DM is improved by diabetes technology for the benefit of the majority of people with T1DM, their caregivers and guardians and health-care professionals treating patients with T1DM.

Indexed as

Insulin Infusion SystemsPancreas, ArtificialBiomedical TechnologyBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1Disease ManagementDrug Delivery SystemsFemaleForecastingHumansInsulinMaleQuality ImprovementSeverity of Illness IndexBlood GlucoseInsulin

Identifiers

PMID29946127
OpenAlexW2810372328

What Socratic 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 Socratic graph.