Evidence map›Paper›PMID 39202265›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Impact of the FreeStyle Libre 2

Katarzyna Rutkowska, Agnieszka Łoś-Stegienta, Michał Bagiński, Ewa Zięba, Adrianna Baran, Monika Żurawska-Kliś, Marcin Kosiński, Katarzyna Cypryk

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. 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

8 authors.

Katarzyna RutkowskaDepartment of Internal Diseases and Diabetology, Medical University of Lodz, 92-213 Lodz, Poland.
Agnieszka Łoś-StegientaDepartment of Internal Diseases and Diabetology, Medical University of Lodz, 92-213 Lodz, Poland.ORCID 0000-0001-6101-5212
Michał BagińskiFaculty of Medicine, Medical University of Lodz, 90-419 Lodz, Poland.
Ewa ZiębaFaculty of Medicine, Medical University of Lodz, 90-419 Lodz, Poland.ORCID 0009-0004-4474-3647
Adrianna BaranFaculty of Medicine, Medical University of Lodz, 90-419 Lodz, Poland.
Monika Żurawska-KliśDepartment of Internal Diseases and Diabetology, Medical University of Lodz, 92-213 Lodz, Poland.
Marcin KosińskiDepartment of Internal Diseases and Diabetology, Medical University of Lodz, 92-213 Lodz, Poland.
Katarzyna CyprykDepartment of Internal Diseases and Diabetology, Medical University of Lodz, 92-213 Lodz, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to evaluate glycaemic control in patients with type 1 diabetes during the first three months of use of the flash glucose monitoring (FGM) system.

methodsWe conducted a study of a cohort of 81 people with type 1 diabetes mellitus who used the FreeStyle Libre 2 (FSL2) sensor continuously for 3 months. Patients had not used a CGM before. The effectiveness of using the FSL2 system was assessed using AGP reports at two time points (3-4 weeks and 11-12 weeks of system use).

resultsEight weeks after using FSL2, compared with results from 3-4 weeks of use, there were no differences in the glucose management indicator, time spent in range, above range and below range, or glucose variability. In the first month of FGM use, patients scanned the sensor significantly more often than in the following two months (

conclusionsShort-term use of FSL2 promotes a significant reduction in GMI in patients with more time spent in hyperglycaemia (especially > 250 mg/dL). In this short period of use, no other changes in glycaemic control parameters are observed.

Indexed as

flash glucose monitoringglycaemic controltype 1 diabetes mellitus

Identifiers

PMID39202265
PMCPMC11354050

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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.