Pediatric CNS Tumor Patients Have Significantly Lower Requirement of Tissue Plasminogen Activator for Episodes of Central Venous Catheter Dysfunction Compared With Other Pediatric Oncology Patients: Results of a Population-based Cohort Study
Bibliographic record
Abstract
PURPOSE: Central venous catheters (CVCs) are an important component of care delivery in pediatric oncology patients. However, CVC dysfunction is a common problem. Tissue plasminogen activator (tPA) is often administered to re-establish function, however, specific experience in pediatric patients with central nervous system (CNS) tumors is lacking. The goal of this study was to investigate the CVC experience and use of tPA for episodes of CVC dysfunction in pediatric patients with CNS tumors in comparison with other patients. METHODS: Medical records of all pediatric oncology patients from the 4 Atlantic provinces in Canada (Nova Scotia, New Brunswick, Prince Edward Island, and Newfoundland and Labrador) were reviewed. Data collected included demographics, treatment, details of CVCs along with CVC dysfunction, and tPA use. RESULTS: The cohort consisted of 1152 pediatric oncology patients, 222 (19.3%) of whom had CNS tumors. CVC dysfunction requiring tPA administration occurred in 12 (5.4%) of patients with CNS tumors compared with 182 (19.6%) of patients with non-CNS tumors (P=0.0001). Multivariate logistic regression analysis showed that administration of tPA for CVC dysfunction was 2.5 times more likely in patients with non-CNS tumors than those with CNS tumors (P=0.012; 95% confidence interval, 1.3-4.9). CONCLUSIONS: Our study showed that pediatric patients with CNS tumors require significantly less frequent administration of tPA for episodes of CVC dysfunction than patients with non-CNS tumors after adjusting for confounding factors. Hypotheses for this include: potential biologic differences of tumors, the role of the blood-brain barrier, or systematic differences in intensity of treatments.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".