Prospective study of nephrolithiasis occurrence in children receiving cefotriaxone
Bibliographic record
Abstract
AIM: Ceftriaxone is a commonly used antibiotic among the paediatric population. Various reports have associated high doses of Ceftriaxone with the development of nephrolithiasis; our aim was to test this association with a 5 day course of treatment. METHODS: Our study group consisted of 120 patients divided into two groups. The first group included 60 patients who underwent treatment with Ceftriaxone therapy that was started empirically and continued for 5 days at the dose of 80 mg/kg per day. The second group (60 patients) who received treatment with other antibiotics (other than Ceftriaxone), as recommended by hospital protocols. Patients with urinary tract infections (UTI) were excluded as UTI may be a predisposing cause for nephrolithiasis. Baseline and follow up after 5 days were done with; abdominal ultrasound, serum urea, creatinine, serum calcium, 24 h urinary calcium and urinary calcium/ creatinine ratio. Extended metabolic tests were done for cases that developed nephrolithiasis. RESULTS: Five cases out of the 60 patients treated with Ceftriaxone developed calculi; that were small and were eliminated spontaneously in four cases at mean duration of 3 weeks. In these cases renal ultrasonography examinations were normal prior to treatment; and none of them had metabolic disturbances or risk factors leading to stone formation. By multiple regression analysis, only age was related to nephrolithiasis formation being higher in the group that has developed stones. CONCLUSION: Only patients who underwent Ceftriaxone therapy have developed renal stones, even with a short course of therapy (5 days), and in the absence of a known predisposing cause for nephrolithiasis. We have thus concluded that Ceftriaxone by itself maybe a predisposing factor for nephrolithiasis.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".