Polypharmacy and medication-related complications in the chronic kidney disease patient
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 it