Evidence map›Paper›PMID 31375851›Full record

ReviewDer Internist2019

[New technologies in diabetes treatment].

Georg Serfling, Hannes Kalscheuer, Sebastian M Schmid, Hendrik Lehnert

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Internist, 2019. 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, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Georg SerflingMedizinische Klinik I und Institut für Endokrinologie und Diabetes, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Deutschland. georg.serfling@uksh.de.
Hannes KalscheuerMedizinische Klinik I und Institut für Endokrinologie und Diabetes, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Deutschland.
Sebastian M SchmidMedizinische Klinik I und Institut für Endokrinologie und Diabetes, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Deutschland.
Hendrik LehnertMedizinische Klinik I und Institut für Endokrinologie und Diabetes, Universitätsklinikum Schleswig-Holstein, Campus Lübeck, Universität zu Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Deutschland.
University of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological progress has led to numerous innovations in diagnostic and therapeutic applications in diabetes and will also improve the treatment of patients with diabetes in the future. The first commercially available hybrid closed-loop system has been available in the USA since 2016 and the next developmental step toward a fully automated artificial pancreas has been made. The automated control of the basal insulin secretion provides a stabilization of blood glucose with a reduction of hypoglycemia and improvement of long-term control as indicated by improved hemoglobin A1c levels. Although closed-loop systems are not yet officially available in Germany, patients with type 1 diabetes mellitus already benefit from a new generation of continuous glucose monitoring (CGM) systems. Apart from the increased accuracy these new devices can be used for up to 180 days and do not require daily calibration. This article provides a short overview of the innovations in CGM systems and the current status in the development of the artificial pancreas.

Indexed as

Blood Glucose Self-MonitoringPancreas, ArtificialBlood GlucoseDiabetes Mellitus, Type 1GermanyHumansHypoglycemiaInsulin Infusion SystemsBlood GlucoseClosed loop systemsContinuous glucose monitoringDiabetes mellitus, type 1HypoglycemiaPancreas, artificial

Identifiers

PMID31375851
OpenAlexW2964404866

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.