Meta-Analysis: Low-Dose Dopamine Increases Urine Output but Does Not Prevent Renal Dysfunction or Death
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Bibliographic record
Abstract
BACKGROUND: Surveys have documented the continued popularity of low-dose dopamine to influence renal dysfunction even though few data support it and editorials and reviews have discouraged its use. PURPOSE: To evaluate the effects of low-dose dopamine (< or =5 microg/kg of body weight per minute) compared with placebo or no therapy in patients with or at risk for acute renal failure. DATA SOURCES: MEDLINE (1966-January 2005), EMBASE (1980-week 5, 2005), CANCERLIT (1975-2002), CINAHL (1982-January 2005), and CENTRAL (The Cochrane Library, fourth quarter, 2004); bibliographies of retrieved publications; and additional information from 50 trials. STUDY SELECTION: Two reviewers independently selected parallel-group randomized and quasi-randomized controlled trials of low-dose dopamine versus control. DATA EXTRACTION: Study methods, clinical and renal physiologic outcomes, and adverse events (arrhythmias and myocardial, limb, and cutaneous ischemia) were extracted. DATA SYNTHESIS: 61 trials that randomly assigned 3359 patients were identified. Meta-analyses using random-effects models showed no effect of low-dose dopamine on mortality (relative risk, 0.96 [95% CI, 0.78 to 1.19]), need for renal replacement therapy (relative risk, 0.93 [CI, 0.76 to 1.15]), or adverse events (relative risk, 1.13 [CI, 0.90 to 1.41]). Low-dose dopamine increased urine output by 24% (CI, 14% to 35%) on day 1. Improvements in serum creatinine level (4% relative decrease [CI, 1% to 7%]) and measured creatinine clearance (6% relative increase [CI, 1% to 11%]) on day 1 were clinically insignificant. There were no significant changes on days 2 and 3 of therapy. LIMITATIONS: Statistically significant between-study heterogeneity in physiologic but not clinical outcomes was unexplained by prespecified hypotheses. CONCLUSION: Low-dose dopamine offers transient improvements in renal physiology, but no good evidence shows that it offers important clinical benefits to patients with or at risk for acute renal failure.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.005 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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