Three days of Pivmecillinam or Norfloxacin for Treatment of Acute Uncomplicated Urinary Infection in Women
Bibliographic record
Abstract
Pivmecillinam is a unique beta-lactam antimicrobial that has been used for the treatment of acute uncomplicated urinary infection for > 20 y. Since this agent was introduced, the quinolone antimicrobials have become widely used for the same indication. This study compared the efficacy of a 3-d regimen of pivmecillinam 400 mg b.i.d. with norfloxacin 400 mg b.i.d. Women aged between 18 and 65 y presenting with symptoms of acute cystitis of < 7 d duration were eligible for enrollment; 483 were randomized to receive pivmecillinam and 471 to receive norfloxacin. In each group, 30% of women had negative urine cultures prior to therapy. Bacteriologic cure at early post-therapy follow-up was achieved in 222/298 (75%) pivmecillinam patients and 276/302 (91%) norfloxacin patients [p < 0.001; 95% confidence interval (CI) 12.0-21.8]. Clinical cure/improvement at Day 4 following initiation of therapy was observed in 434/457 (95%) women who received pivmecillinam and 425/442 (96%) who received norfloxacin (p = 0.39; 95% CI 1.5-3.9). Early post-therapy (11 +/- 2 d) clinical cure was achieved in 360/437 women (82%) who received pivmecillinam and 381/433 (88%) who received norfloxacin (p = 0.019; 95% CI 0.9-10.3). In women aged < or = 50 y, early clinical cure rates were 294/351 (84%) for pivmecillinam and 299/340 (88%) for norfloxacin (p = 0.11; 95% CI 1.0-9.4). Adverse effects were similar for both regimens, and there was no evidence of the emergence of organisms of increasing resistance with therapy. Short-course therapy with norfloxacin was superior to that with pivmecillinam in terms of bacteriologic outcome, although differences in clinical outcome were less marked. In conclusion, short-course therapy with pivmecillinam is an effective empirical treatment for pre-menopausal women.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".