Spontaneous neonatal arterial thromboembolism
Bibliographic record
Abstract
Neonatal spontaneous arterial thromboembolism is a rare phenomenon with a high risk of morbidity and mortality. Currently, there is little information regarding common risk factors, diagnostic strategies, therapeutic interventions, and outcomes of this condition. The objective was to nucleate the best evidence regarding the disorder in order to facilitate early detection and treatment recommendations and document adverse outcomes. Web of Science, PubMed, Medline, CINAHL, Cochrane Databases, DARE, and OVID databases were searched using the following keywords: 'arterial' AND 'thrombus' OR 'thrombosis' OR 'thromboembolism' OR 'embolism' AND 'spontaneous' AND 'at birth' OR 'newborn' OR 'neonatal' OR 'fetal' AND 'umbilical cord' OR 'umbilical wall necrosis' AND 'coagulation abnormality' OR 'placenta bits' OR 'ischemic limbs'. The search yielded 172 articles, all of which were case series or single case descriptions. Twenty-seven met inclusion criteria, with a total of 53 newborns and 30 newborn pathology reports. Ultrasound was the preferred method of diagnosis and thromboembolic locations varied with the most common site being umbilical, resulting in embolism and vascular compromise. Treatment interventions and drug dosages were not standardized and ranged from use of anticoagulants to surgery and hyperbaric oxygen. The reported mortality rate was 32.8%. Recurring etiological features facilitated identification of possible sequences of events contributing to the disorder. The literature lacks empirical evidence to affirm causes and predisposing risk factors for timely diagnosis and effective treatment of spontaneous neonatal arterial thromboembolism. Further research is needed to clearly establish the causes and the efficacy of specific treatment options.
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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 | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".