Evidence map›Paper›PMID 38377325›Full record

ArticleDiabetes technology & therapeutics2024

Future of Time-in-Range Goals in the Era of Advanced Hybrid Closed-Loop Automated Insulin Delivery Systems.

Halis K Akturk, Tadej Battelino, Javier Castañeda, Arcelia Arrieta, Tim van den Heuvel, Ohad Cohen

Abstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
–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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Trial
  5. Observational
  6. Article
  7. Article
  8. 12-Month Time in Tight Range Improvement with Advanced Hybrid-Closed Loop System in Adults with Type 1 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2024
    Article
  9. 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

6 authors.

Halis K AkturkBarbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado, USA.ORCID 0000-0003-4518-5179
Tadej BattelinoUniversity Medical Centre Ljubljana, and Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID 0000-0002-0273-4732
Javier CastañedaMedtronic International Trading Sàrl, Tolochenaz, Switzerland.
Arcelia ArrietaMedtronic International Trading Sàrl, Tolochenaz, Switzerland.
Tim van den HeuvelMedtronic International Trading Sàrl, Tolochenaz, Switzerland.ORCID 0000-0002-3907-6876
Ohad CohenMedtronic International Trading Sàrl, Tolochenaz, Switzerland.ORCID 0000-0003-4337-1795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of maintaining blood glucose levels within the 70-180 mg/dL range, known as time-in-range, has raised questions regarding its representation of true physiological euglycemia. Some have speculated that focusing on the time spent within the 70-140 mg/dL range, introduced as time in tight range (TITR) through the International Consensus statement, could serve as a more precise metric for assessing normoglycemia in individuals with type 1 diabetes. This article delves into the current status of TITR as an emerging marker and explores how advanced hybrid closed-loop systems may offer a promising avenue for achieving this higher level of glycemic control.

Indexed as

Diabetes Mellitus, Type 1Hypoglycemic AgentsBlood GlucoseBlood Glucose Self-MonitoringGoalsHumansInsulinInsulin Infusion SystemsBlood GlucoseHypoglycemic AgentsInsulinAutomated insulin deliveryClosed-loopGlucose controlInsulin pumpInsulin therapyMiniMed™Time in tight range

Identifiers

PMID38377325
PMCPMC10890947

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.