Intensive Dietary Education Using the Phosphorus Point System Tool© to Improve Hyperphosphatemia in Patients with Chronic Kidney Disease
Bibliographic record
Abstract
Background: High serum phosphorus (hPhos) is common in chronic kidney disease (CKD) and increases the risk of metastatic calcification. Guidelines advise patients with hPhos to restrict dietary phoshorus intake to 800-1000mg/day, and compliance with this diet can be challenging. Innovative education may improve compliance. Hypothesis: Intensive dietary education using the Phosphorus Point System Tool© (PPS) will result in lower serum phosphorus levels compared to standard education (SE). Methods: This study compared the effectiveness of the PPS to SE on 1) serum phosphorus, 2) dietary phosphate intake, knowledge and satisfaction in pre-dialysis CKD. Results: The PPS reduced 12 week serum phosphorus by 0.16 mmol/L (95% CI 0.37 to -0.05, p=0.130) when controlling for baseline. Dietary phosphorus and protein intake decreased significantly at week 6 on PPS compared to SE (p= 0.026, p=0.050; respectively). Summary: Although there was a trend indicating the tool may reduce serum phosphorus levels, further research is needed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".