ArticleNutrients2015
Transcultural Diabetes Nutrition Algorithm: Brazilian Application.
Article in Nutrients, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 13 citations in OpenAlex.
- Consensus Conference Series on Dysglycemia-Based Chronic Disease (DBCD) in Latin America: The Chilean Transculturalization.Annals of global health · 2026Article
- The Transcultural Diabetes Nutrition Algorithm: A Middle Eastern Version.Frontiers in nutrition · 2022Review
- Transcultural Lifestyle Medicine in Type 2 Diabetes Care: Narrative Review of the Literature.American journal of lifestyle medicineReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 9 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prevalence of obesity, pre-diabetes, and type 2 diabetes (T2D) is increasing worldwide, especially in the developing nations of South America. Brazil has experienced an exponential increase in the prevalence of these chronic non-communicable diseases. The rising prevalence is probably due to changing eating patterns, sedentary living, and a progressive aging of the population. These trends and their underlying causes carry untoward consequences for all Brazilians and the future of Brazilian public health and the healthcare system. Lifestyle changes that include healthy eating (nutrition therapy) and regular physical activity (structured exercise) represent efficient inexpensive measures to prevent and/or treat the aforementioned disorders and are recommended for all afflicted patients. Regrettably, the implementation of lifestyle changes is fraught with clinical and personal challenges in real life. The transcultural Diabetes Nutrition Algorithm (tDNA) is a therapeutic tool intended to foster implementation of lifestyle recommendations and to improve disease-related outcomes in common clinical settings. It is evidence-based and amenable to cultural adaptation. The Brazilian Diabetes Association, Society of Cardiology and Ministry of Health guidelines for nutrition therapy and physical exercise were considered for the Brazilian adaptation. The resultant tDNA-Brazil and its underlying recommendations are presented and explained.
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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 OpenQuestion graph.