Design and Region-Specific Adaptation of the Dietary Intervention Used in the SODIUM-HF Trial: A Multicentre Study
Bibliographic record
Abstract
BACKGROUND: ailure (SODIUM-HF) trial aims to assess the effects of dietary sodium reduction on clinical outcomes in a HF population using a pragmatic design to provide empirical evidence to guide dietary sodium intake recommendations in patients with chronic HF. METHODS: SODIUM-HF is a multicentre, open-label, blinded adjudicated endpoint, randomized controlled trial in ambulatory patients with chronic HF. This trial involves participants recruited from sites in Canada, Australia, New Zealand, Mexico, Colombia, and Chile, who are followed up to 24 months. Rationale and methods of the SODIUM-HF trial were published elsewhere. As an international pragmatic dietary trial, SODIUM-HF was designed to address several challenges, such as defining the most suitable intervention to account for country-specific variations in food intake and availability. In SODIUM-HF, we implemented the Nutrition-Care Model to provide a comprehensive intervention delivered directly to patients, focusing on modifying the nutrient composition of the diet (sodium restriction), using a personalized counselling and close follow-up. RESULTS: Available upon completion of the trial. CONCLUSIONS: This long-term dietary trial is one of the first in its type in the HF field. This article describes in detail the rationale and methods for the dietary intervention employed and the region-specific adaptation of the SODIUM-HF intervention, so that the learning and processes taken in this trial can be applied to future multicountry dietary clinical trials.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.041 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".