Treatment of Gout Patients with Impairment of Renal Function: A Systematic Literature Review
Bibliographic record
Abstract
OBJECTIVE: To assess the efficacy and safety of gout-specific medications in gout patients with a comorbidity and/or comedication. METHODS: A systematic literature search for gout, its medication, and the most common comorbidities and comedications, using serum uric acid (SUA) levels as the primary, and adverse events as the secondary outcomes. RESULTS: Eight trials met inclusion criteria. Trials covered treatment with allopurinol, benzbromarone, rasburicase, or febuxostat in a gout population with mild or moderate renal insufficiency. High risk of bias (5/8 trials) and heterogeneity precluded formal metaanalysis. The trials showed the following hierarchy in efficacy (lowering the SUA below 6.0 mg/dl): febuxostat 80 mg (44%-71%) > febuxostat 40 mg (43%-52%) > allopurinol 100 mg or 200 mg (0-46%) after 6 months of therapy; rasburicase (46%) > allopurinol 300 mg (16%) after 7 days of therapy; benzbromarone 100-200 mg (93%) > allopurinol 100-200 mg (63%) after 9-24 months of therapy. The combination of allopurinol and benzbromarone seemed to be effective, with a significant reduction in the SUA from 7.8 to 5.7 mg/dl (p < 0.05) after 1 month. One study showed that 89% achieved the target SUA using higher doses of allopurinol than usually recommended for patients with renal impairment without an apparent increase in adverse events. In addition, allopurinol and benzbromarone significantly improved renal function. CONCLUSION: In gout patients with renal insufficiency febuxostat, rasburicase, benzbromarone, and allopurinol + benzbromarone seemed to be effective and safe; allopurinol may be cautiously titrated until the target uric acid level has been reached, and may improve renal function.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.001 |
| Bibliometrics | 0.001 | 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".