A Survey of the Clinical Management of Pediatric Patients with Asymptomatic Central Venous Catheter-Associated Venous Thromboembolism in Saudi Arabia
Bibliographic record
Abstract
BACKGROUND: Central venous catheters (CVCs) are the main cause of venous thromboembolism (VTE) in critically ill children. The optimal first-line treatment for children with asymptomatic CVC-related VTE is unknown. Due to a paucity of clinical trials, clinical practice guidelines can offer only weak recommendations for the management of asymptomatic CVC-related VTE. METHODS: This case-based survey was designed to assess the current trends in local management strategies for pediatric patients with an asymptomatic CVC-related thrombosis. The survey focused on the use of the thrombophilia testing, management approach, duration of anticoagulation, and the use of secondary prophylaxis. We hypothesize that there will be significant variation in these four management areas, in the large part due to the aforementioned paucity of available data. REDCap ® questions were sent to the members of the Saudi Arabian Pediatric Hematology/Oncology Society clinical forum/email database. We used a hypothetical case scenario to assess management strategies for asymptomatic CVC-related VTE and secondary prophylaxis. RESULTS: Seventy-one (30%) physicians responded to the survey. The majority of the respondents (83.3%) did not use thrombophilia testing. The far majority (95%) treated with anticoagulation. In contrast, the survey respondents varied widely in the duration of anticoagulation and the use of secondary prophylaxis. CONCLUSIONS: Asymptomatic CVC-related VTE is a common clinical entity with limited data guiding management. In Saudi Arabia, there remains considerable variability in the clinical management. These findings will help identify crucial knowledge gaps in the management of asymptomatic CVC-related VTE and facilitate clinical trials that will help establish evidence-based treatment guidelines.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".