Faculty Opinions recommendation of Risk Factors Linked to Central Catheter-Associated Thrombosis in Critically Ill Infants in the Neonatal Intensive Care Unit.
Bibliographic record
Abstract
OBJECTIVE: Our study identified risk factors for the development of clinically identifiable catheter-associated thrombosis (CT).STUDY DESIGN: We performed a retrospective cohort study of neonates in whom a central catheter was present. A total of 1,475 catheters were identified in 766 patients during a 36-month study period. The odds ratio (OR) of thrombi formation in catheterized neonates was modeled using simple (single predictor) and multiple (multiple predictors) logistic regressions as well as simple and multiple Cox's proportional hazard models.RESULT: The incidence of CT was 1.17 per 100 neonates. Unadjusted factors including age at insertion, history of surgery before or during line placement, cholestasis, femoral location, and line size significantly increased the OR or hazards ratio (HR) of developing thrombi formation. In multiple logistic and Cox's regression analyses, three factors continued to be significantly associated with OR or HR of thrombi formation: line size, femoral location, and cholestasis.CONCLUSION: We conclude that clinically identifiable CT is rare in the neonatal population. Furthermore, catheter-specific characteristics are predictive for CT and require further investigation.Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA. PMID: 30081400
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.066 | 0.021 |
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".