Evidence map›Paper›PMID 37930420›Full record

ArticleActa diabetologica2024

Scans per day as predictors of optimal glycemic control in people with type 1 diabetes mellitus using flash glucose monitoring: what number of scans per day should raise a red flag?

Fernando Sebastian-Valles, Julia Martínez-Alfonso, Jose Alfonso Arranz Martin, Jessica Jiménez-Díaz, Iñigo Hernando Alday, Victor Navas-Moreno, Teresa Armenta Joya, Maria Del Mar Fandiño García, Gisela Liz Román Gómez, Luis Eduardo Lander Lobariñas and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Acta diabetologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

14 authors at 4 institutions in 2 countries.

Fernando Sebastian-VallesDepartment of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain. fernando.sebastian@estudiante.uam.es.ORCID http://orcid.org/0000-0002-4127-0483
Julia Martínez-AlfonsoDepartment of Family and Community Medicine, Hospital La Princesa/Centro de Salud Daroca, 28006, Madrid, Spain.
Jose Alfonso Arranz MartinDepartment of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Jessica Jiménez-DíazDepartment of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, 28194, Leganés, Madrid, Spain.
Iñigo Hernando AldayDepartment of Endocrinology and Nutrition, Hospital Universitario Basurto, 48013, Bilbao, Spain.
Victor Navas-MorenoDepartment of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Teresa Armenta JoyaDepartment of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Maria Del Mar Fandiño GarcíaDepartment of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, 28194, Leganés, Madrid, Spain.
Gisela Liz Román GómezDepartment of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, 28194, Leganés, Madrid, Spain.
Luis Eduardo Lander LobariñasDepartment of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, 28194, Leganés, Madrid, Spain.
Purificación Martinez de IcayaDepartment of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, 28194, Leganés, Madrid, Spain.
Miguel Antonio Sampedro-NuñezDepartment of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Vicente Martínez-VizacaínoHealth and Social Care Research Center, Universidad de Castilla-La Mancha, 16071, Cuenca, Spain.
Mónica MarazuelaDepartment of Endocrinology and Nutrition, Hospital Universitario de La PrincesaInstituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Hospital Universitario de La Princesa · ESHospital Universitario Severo Ochoa · ESHospital de Basurto · ESUniversidad Autónoma de Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to determine the minimum frequency of flash glucose monitoring (FGM) scans necessary for optimal glycemic control in patients with type 1 diabetes (T1D).

methodsData were collected from 692 patients (47.5% female, with a median age of 47.4 years) who used FGM systems daily and recorded their clinical variables and device data.

resultsLogistic regression models showed that performing more than 12 scans per day was associated with improved T1D control (OR = 4.22, p < 0.001) and a reduction in HbA1c (7.6 vs 7.0%, 60-53 mmol/mol p < 0.001). However, those performing less than 6 scans showed no improvement in HbA1c (7.9 vs 7.8%, 63-61 mmol/mol p = 0.514). Thirteen daily scans were determined as the optimal cutoff point for predicting optimal glycemic control using a maximally selected rank algorithm. Significant reductions were observed in mean glucose (< 0.001), coefficient of variation (< 0.001), HbA1c (< 0.001), and an increase in TIR (< 0.001) in patients who performed more than 12 daily scans.

conclusionsThe results suggest that a higher frequency of daily scans by T1D patients using FGM systems leads to improved chronic glycemic control. The minimum recommended frequency for optimal control is 13 scans per day, and more than 6 daily scans are needed to improve HbA1c.

Indexed as

Diabetes Mellitus, Type 1Blood GlucoseBlood Glucose Self-MonitoringFemaleGlucoseGlycated HemoglobinGlycemic ControlHumansHypoglycemic AgentsMaleMiddle AgedBlood GlucoseGlucoseGlycated HemoglobinHypoglycemic AgentsContinuous glucose monitoring systemsFlash glucose monitoringOptimal controlReal world dataType 1 diabetes

Identifiers

PMID37930420
PMCPMC10948530
OpenAlexW4388410233

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.