Evidence map›Paper›PMID 38421505›Full record

ReviewCurrent diabetes reports2024

Diabetes Technology in People with Type 2 Diabetes: Novel Indications.

Shubham Agarwal, Rodolfo J Galindo, Amy V Shah, Marconi Abreu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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 2 institutions in 1 country.

Shubham AgarwalThe University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA. shubhamagarwaldr@gmail.com.ORCID 0000-0002-7981-9603
Rodolfo J GalindoUniversity of Miami Miller School of Medicine, 1450 NW 10th Ave, Miami, FL, 33136, USA.ORCID 0000-0002-9295-3225
Amy V ShahThe University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.ORCID 0000-0002-6292-7843
Marconi AbreuThe University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.ORCID 0000-0001-5996-0661
The University of Texas Southwestern Medical Center · USUniversity of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewDiabetes technology has been continuously evolving. Current versions of continuous glucose monitors (CGM) use minimally invasive designs, monitor glucose values with high accuracy, and can be used to guide insulin dosing. Extensive evidence supports the use of diabetes technology for monitoring and insulin administration in people with type 1 diabetes. However, there is emerging evidence for people with type 2 diabetes. In this review, we present the different technological devices used to monitor glucose and deliver insulin and the evidence supporting their use in people with type 2 diabetes. RECENT

findingsThe use of CGMs in people with type 2 diabetes treated with insulin or non-insulin therapies has been associated with improvements in glycemic control and time spent in hypoglycemia. Smart insulin pens and smart connected devices are options to track compliance and guide insulin delivery in people who do not require insulin pump therapy. Mechanical patch pumps can be used to reduce the burden of multiple daily insulin injections. Automated insulin delivery algorithms improve glycemic control without an increase in hypoglycemia. The use of technology in the management of type 2 diabetes generates glycemic data previously inaccessible, reduces barriers for insulin initiation, improves glycemic control, tracks adherence to therapy, and improves user satisfaction.

Indexed as

Blood Glucose Self-MonitoringDiabetes Mellitus, Type 2Hypoglycemic AgentsInsulinInsulin Infusion SystemsBlood GlucoseGlycemic ControlHumansBlood GlucoseHypoglycemic AgentsInsulinContinuous glucose monitorsDiabetes technologyInsulin pumpSmart pensType 2 diabetes

Identifiers

PMID38421505
OpenAlexW4392287264

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.