Evidence map›Paper›PMID 38273326›Full record

ArticleBMC medicine2024

Impact of socioeconomic status on chronic control and complications of type 1 diabetes mellitus in users of glucose flash systems: a follow-up study.

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, Jon Garai Hierro and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
14.3field-weighted citation impact, top 1% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 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

15 authors at 4 institutions in 2 countries.

Fernando Sebastian-VallesDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain. fernando.sebastian@estudiante.uam.es.ORCID 0000-0002-4127-0483
Julia Martínez-AlfonsoDepartment of Family and Community Medicine, Centro de Salud Daroca, 28006, Madrid, Spain.
Jose Alfonso Arranz MartinDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Jessica Jiménez-DíazDepartment of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, Leganés, 28194, 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 Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Teresa Armenta JoyaDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto 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, Leganés, 28194, Madrid, Spain.
Gisela Liz Román GómezDepartment of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, Leganés, 28194, Madrid, Spain.
Jon Garai HierroDepartment of Endocrinology and Nutrition, Hospital Universitario Basurto, 48013, Bilbao, Spain.
Luis Eduardo Lander LobariñasDepartment of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, Leganés, 28194, Madrid, Spain.
Purificación Martínez de IcayaDepartment of Endocrinology and Nutrition, Hospital Universitario Severo Ochoa, Leganés, 28194, Madrid, Spain.
Miguel Antonio Sampedro-NuñezDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria de La Princesa, Universidad Autónoma de Madrid, 28006, Madrid, Spain.
Vicente Martínez-VizcaínoHealth and Social Care Research Center, Universidad de Castilla-La Mancha, 16071, Cuenca, Spain.
Mónica MarazuelaDepartment of Endocrinology and Nutrition, Hospital Universitario de La Princesa, Instituto 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

Instituto de Salud Carlos III PI19/00584
6 · The paper itself

Abstract

backgroundThis study investigates the association between socioeconomic status (SES) and glycemic control in individuals with type 1 diabetes (T1D) using flash glucose monitoring (FGM) devices within a public health system where these technologies are freely available and utilized according to recommended guidelines.

methodsA follow-up study of 1060 adults (mean age 47.4 ± 15.0 years, 49.0% women) with T1D, receiving care at three Spanish university hospitals that regularly employ the FGM system. SES was assessed using the Spanish Deprivation Index and the average annual net income per person. Glycemic data were collected over a 14-day follow-up period, including baseline glycated hemoglobin (HbA1c) levels prior to sensor placement, the last available HbA1c levels, and FGM-derived glucose metrics. Individuals with sensor usage time < 70% were excluded. Chronic micro and macrovascular complications related to diabetes were documented. Regression models, adjusted for clinical variables, were employed to determine the impact of SES on optimal sensor control (defined as time in range (TIR) ≥ 70% with time below range < 4%) and disease complications.

resultsThe average follow-up was of 2 years. The mean TIR and the percentage of individuals with optimal control were higher in individuals in the highest SES quartile (64.9% ± 17.8% and 27.9%, respectively) compared to those in the lowest SES quartile (57.8 ± 17.4% and 12.1%) (p < 0.001). Regression models showed a higher risk of suboptimal control (OR 2.27, p < 0.001) and ischemic heart disease and/or stroke (OR 3.59, p = 0.005) in the lowest SES quartile. No association was observed between SES and the risk of diabetic nephropathy and retinopathy. FGM system improved HbA1c levels across all SES quartiles. Although individuals in the highest SES quartile still achieved a significantly lower value at the end of the follow-up 55 mmol/mol (7.2%) compared to those in the lowest SES quartile 60 mmol/mol (7.6%) (p < 0.001), the significant disparities in this parameter between the various SES groups were significantly reduced after FGM technology use.

conclusionsSocioeconomic status plays a significant role in glycemic control and complications in individuals with T1D, extending beyond access to technology and its proper utilization. The free utilization of FGM technology helps alleviate the impact of social inequalities on glycemic control.

Indexed as

Diabetes Mellitus, Type 1AdultBlood GlucoseBlood Glucose Self-MonitoringFemaleFollow-Up StudiesGlucoseGlycated HemoglobinHumansMaleMiddle AgedSocial ClassBlood GlucoseGlucoseGlycated HemoglobinContinuous glucose monitoringDiabetes technologyHealth inequalitiesSocioeconomic deprivationSocioeconomic statusT1D

Identifiers

PMID38273326
PMCPMC10809494
OpenAlexW4391226761

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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.