Safety of General Anesthesia for Lumbar Puncture and Bone Marrow Aspirate/Biopsy in Pediatric Oncology Patients
Bibliographic record
Abstract
INTRODUCTION: Painful short duration procedures such as bone marrow aspiration/biopsy and the lumbar puncture with or without intrathecal chemotherapy are frequently performed during the treatment of children with cancer. This study evaluated the frequency and severity of complications of bone marrow aspiration biopsy and lumbar puncture/intrathecal chemotherapy under general anesthesia. PATIENTS AND METHODS: A prospective observational study was performed from November 2003 to August 2005. Patients with cancer younger than 21 years old, receiving treatment at the Pediatric Oncology Unity of Hospital de Clínicas de Porto Alegre, undergoing diagnostic and/or therapeutic short duration procedures carried out under general anesthesia in the outpatient surgery unit. RESULTS: One hundred and thirty-seven patients were submitted to 423 procedures under general anesthesia. There were 61% boys, mean age of 7.5 years (0.2 to 21) and ASA II 98%. Eighty seven percent of the procedures were carried out in patients with leukemia or lymphoma. The majority of the procedures had no adverse events during intraoperative and postoperative periods. No procedure had to be suspended after it had begun. One patient had lumbar pain after the procedure and was admitted to the ward with suspected subdural bleeding, but this was not confirmed. No patient needed cardiopulmonary reanimation or treatment in the intensive care unit. CONCLUSIONS: General anesthesia for short duration painful procedures in children undergoing treatment for malignancies is safe when carried out by trained professionals in outpatient clinical surgery unit.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".