Influence of Multivitamin Regimen on Urinary Oxalate in Home Parenteral Nutrition Patients
Bibliographic record
Abstract
BACKGROUND: High urinary oxalate levels have been associated with high ascorbic acid intakes. An alteration in the vitamin regimen for home parenteral nutrition (HPN) patients because of product discontinuation resulted in provision of 500 mg instead of 100 mg ascorbic acid per HPN day. This regimen was associated with high urinary oxalate levels. PURPOSE: To determine if a switch from a multivitamin regimen containing 500 mg to one containing 100 mg of ascorbic acid daily would reduce urinary oxalate levels. METHODS: A 24-hour urine collection for oxalate was analyzed before switching the vitamin regimen back to 100 mg ascorbic acid and repeated 2 months after the change. A paired t test was conducted to compare measurements at baseline and at 2 months. RESULTS: Overall, 18 patients completed both phases of this observational study. The initial urinary oxalate of 517 +/- 63 micromol/day decreased to 425 +/- 47 micromol/day after 2 months (p = .05). However, after applying the exclusion criteria, only 6 patients could be included. The baseline urinary oxalate of 649 +/- 106 micromol/day decreased to 391 +/- 57 micromol/day after 2 months (p = .006). CONCLUSIONS: A change in the parenteral regimen of HPN patients from 500 mg ascorbic acid to 100 mg ascorbic acid is associated with a decrease in urinary oxalate levels. This suggests that a moderate dose of parenteral ascorbic acid (100 mg/day) may limit urinary oxalate appearance in HPN patients.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".