ArticlePLOS digital health2026
Development and validation of a food group system for intake control in people with diabetes: SMARTCLOTH-Database.
Article in PLOS digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Development and validation of a food group system for intake control in people with diabetes: SMARTCLOTH-Database.PLOS digital health · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study presents the development and validation of the SMARTCLOTH-Database, a structured food group system designed to support dietary management for individuals with diabetes. The database organises foods into 20 nutritionally coherent groups, distinguishing between raw and cooked forms, based on Spanish dietary patterns and statistical criteria. Nutritional values were calculated using weighted averages derived from national food consumption data and multiple international food composition databases. To validate the system, a computational tool was developed to generate daily menus automatically and compare nutritional outputs against a gold standard reference (BDCA). The comparison showed small mean differences (less than ±22 kcal, < 2 g carbohydrates, < 0.6 g protein, and <1.5 g lipids), with high concordance demonstrated through intraclass correlation coefficients (ICC ≥ 0.75) for carbohydrates and proteins across most analyses. These results indicate that the SMARTCLOTHDatabase provides accurate and reliable estimates of macronutrient content, making it suitable for integration into digital tools aimed at improving dietary self-management in people with diabetes.
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Registered trials
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 Socratic graph.