Evidence map›Paper›PMID 41737147›Full record

ArticlePatient preference and adherence2026

Glucosuria as a Biomarker of Adherence to Sodium-Glucose Co-Transporter Protein Type 2 Inhibitors.

José Escribano-Serrano, Enrique Jiménez-Varo, María Escribano-Cobalea, Cristina Casto-Jarillo, Ana López-Ceres, Emilio Campos-Dávila, Antonio Hormigo-Pozo, Josep Franch-Nadal, Alfredo Michán-Doña

Abstract read
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Article in Patient preference and adherence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

José Escribano-SerranoGrupo CARTEIA, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, España.ORCID 0000-0002-1047-7879
Enrique Jiménez-VaroGrupo CARTEIA, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, España.ORCID 0000-0002-1187-1157
María Escribano-CobaleaGrupo CARTEIA, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, España.ORCID 0000-0001-6065-5146
Cristina Casto-JarilloGrupo CARTEIA, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, España.
Ana López-CeresGrupo CARTEIA, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, España.
Emilio Campos-DávilaGrupo CARTEIA, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, España.ORCID 0009-0002-2026-2668
Antonio Hormigo-PozoGrupo CARTEIA, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, España.ORCID 0000-0001-7558-5902
Josep Franch-NadalCentre de Salut Raval Sud, Institut Català de la Salut, Barcelona, España.ORCID 0000-0002-5175-1555
Alfredo Michán-DoñaGrupo CARTEIA, Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Cádiz, España.ORCID 0000-0002-4373-6224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Adherence to treatment with sodium-glucose co-transporter protein type 2 inhibitors (SGLT2i) is essential for the successful treatment of type 2 diabetes. As SGLT2i induce glucosuria, the main study objective was to assess the potential relationship between glucosuria level and adherence to SGLT2i. Patients and Methods: The study used electronic health records of patients aged ≥45 years old that had urinalysis data. Glucosuria was classified as absent/normal (0 mg/dL), intermediate (1-1000 mg/dL), and evident (>1000 mg/dL). Renal function, expressed by estimated glomerular filtration rate and stage of chronic kidney disease (CKD), was also assessed. Adherence to SGLT2i was measured with the proportion of days covered in 6 months. Results: Only 9.2% of samples showed evident glucosuria; of these, 87.5% belonged to patients treated with SGLT2i. Among these patients, glucosuria was mostly evident (78.9%). Absent glucosuria was more common in patients with CKD and in advanced KDIGO stages; therefore, in these patients glucosuria as adherence marker should be interpreted with caution.In patients treated with SGLT2i, absent glucosuria was detected in 4.5% of samples from patients with good adherence, 18.5% of samples from patients with intermediate adherence, and up to 38.5% of samples from patients with poor adherence (p <0.01). Absent glucosuria was also associated with higher blood uric acid level and lower hemoglobin and hematocrit. Absent glucosuria was more common in women and older patients. Conclusion: Absent glucosuria could be an easy biomarker of poor adherence in patients treated with SGLT2i in clinical practice.

Indexed as

adherencediabetes mellitusglucosuriasodium-glucose co-transporter protein type 2 inhibitorstype 2 diabetes

Identifiers

PMID41737147
PMCPMC12927756

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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.