Neonatal Aortic Thrombosis: A Comprehensive Review
Bibliographic record
Abstract
BACKGROUND: Neonatal aortic thrombosis is a rare occurrence, but can be fatal. Treatment of this condition is hampered by the lack of large studies involving this pediatric population. Reporting of this condition is also not standardized. METHODS: The purpose of this review is to collate available literature on the incidence, risk factors, presentation, treatment and outcome of neonatal aortic thrombosis as well as suggest a treatment model. RESULTS: A Medline search of PubMed, OVID and Cochrane databases was undertaken using the key words "neonatal", "infant", "aorta", "aortic", "thrombosis", "thrombus" and "clot". Limits were set for articles that were English language only and published between 1980 and September 2009. Following review of all articles using predetermined search words and criteria, 38 were found with sufficient data for our purpose. The reported total number of neonatal patients with aortic thrombosis was 148 and 78% of the aortic thromboses in this review were related to arterial umbilical catheterization. CONCLUSIONS: We have suggested a classification system to standardize reporting of neonatal aortic thrombosis, as well as a treatment decision tree, and a clinical guide for the treatment of thrombosis in children. As always, clinicians should balance the risks and benefits of their decision to treat with the level of local expertise. This guide may specifically serve the neonatal population with line-related aortic thrombosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.003 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.032 |
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; both teacher heads agree on what is shown here.
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".