Development and utility of a multi‐dimensional grid to assess individual mineral metabolism control in hemodialysis patients: A potential aid for therapeutic decision making?
Bibliographic record
Abstract
A grid was developed to evaluate control of serum calcium, phosphate, and parathyroid hormone levels in hemodialysis patients, based on guideline recommendations (National Kidney Foundation Kidney Disease Outcomes Quality Initiative and Canadian Society of Nephrology), and its face validity was examined in a representative sample of Canadian patients. A retrospective chart review was undertaken in hemodialysis patients from 7 Canadian units. Patients >18 years, on hemodialysis for > or =12 months, and > or =3 parathyroid hormone levels measured > or =1 month apart were included. The grid classified mineral metabolism control as optimal, suboptimal, or poor (mean of 3 measurements). Medication use, hospitalization, and Emergency Department visits were evaluated in relation to grid occupancy. A second comparative analysis of grid occupancy was undertaken on prevalent hemodialysis cases in British Columbia in 2008. Data from 268 patients (mean age 62.3 years) were analyzed. Using National Kidney Foundation Kidney Disease Outcomes Quality Initiative guidelines, 17.5%, 28.8%, and 53.7% of patients had optimal, suboptimal, and poor control, respectively, of all 3 parameters (calcium, phosphate, and parathyroid hormone). Using Canadian Society of Nephrology criteria, optimal, suboptimal, and poor control rates were 6.3%, 4.2%, and 89.5%, respectively. Poor control was a possible or a probable cause of hospitalization or Emergency Department attendance in 8 patients. Data from British Columbia in 2008 (n=1858) show optimal, suboptimal, and poor control rates of 15.8%, 24.5%, and 59.7%, respectively. Poor mineral metabolism control among Canadian hemodialysis patients is not showing improvement. The therapeutic grid is a valid tool and may help guide therapeutic decisions, quality control initiatives, and patient counseling. http://www.ukidney.com/bone-and-mineral-metabolism-resource.
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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 | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".