A Pilot Study of Okkidney, A Phosphate Counting Application in Patients on Peritoneal Dialysis
Bibliographic record
Abstract
Background Hyperphosphatemia is associated with adverse outcomes in patients treated with peritoneal dialysis (PD). We have shown that a fixed meal phosphate binder dosing schedule is not appropriate. The purpose of this study was to evaluate the beta version of OkKidney, a phosphate counting app that matches meal phosphate content with binder dose. Methods A convenience sample of adult patients treated with PD completed a pre-survey that included the technology readiness index (TRI 2.0). After a short information session, patients used OkKidney for 30 days. Pre- and post-intervention serum calcium, serum phosphate, and calcium carbonate binder intake were collected and compared using a paired t-test. A post-intervention survey using a 5-point Likert scale was used to gather patient feedback. Results Ten patients (5M, 5F) completed the study protocol. Participants were 55 ± 17 years old, predominately Caucasian, retired (60%), and owned a smartphone (70%). The median TRI score was 3.66 (max 5), indicating a moderate level of readiness. The post-survey results indicated a favorable rating for ease of use (μ = 4.4 ± 0.84) and usefulness (μ = 4.3 ± 0.68) of OkKidney. The average serum phosphate ( p = 0.99) and calcium ( p = 0.68) were not different pre-/post-intervention, but calcium carbonate intake tended to decrease ( p = 0.12). Conclusion Patients reported a positive experience with OkKidney. Further patient-specific adjustments of the binder dose to meal phosphate content may be required to demonstrate a statistically significant decrease in phosphate levels. We believe a larger trial is warranted to investigate the clinical implications of this app.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".