Polypharmacy and medication-related complications in the chronic kidney disease patient
Bibliographic record
Abstract
PURPOSE OF REVIEW: Medication-related problems are very common in patients with chronic kidney disease (CKD). Identification, prevention and management of these problems require a comprehensive, interdisciplinary approach. This article reviews the recent literature regarding medication-related problems in CKD and proposes initiatives for addressing these problems through a structured review process and use of patient-centered adherence-promoting strategies. RECENT FINDINGS: Pharmacist-conducted medication review and intervention programs are successful at identifying and resolving medication-related problems in CKD patients. These programs are associated with a reduction in the number of medications and frequency of hospitalization, and are associated with maintenance of quality of life. However, adherence continues to be a major medication-related problem in CKD care. SUMMARY: Structured medication review and assessment of adherence assist in identification and resolution of medication-related problems in CKD. More research is needed on successful methods to improve medication adherence and related health outcomes.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".