Thrombotic Complications of Neonates and Children with Congenital Nephrotic Syndrome
Bibliographic record
Abstract
Congenital nephrotic syndrome (CNS) refers to a disease presenting with massive proteinuria in association with hypoalbuminemia, hyperlipidemia, and edema at birth or within the first three months of life. In the past, most children with CNS had extremely poor prognosis and succumbed to various complications, usually within the first 6 months. Recent advancements in protein supplementation and nutritional support, renal replacement therapy and renal transplantation in infancy, render these patients to have much better outcomes. However, there are still many hurdles in the management of this disease. Thromboembolism is an uncommon, yet important complication which the healthcare givers must be aware of. This article reviews the challenges in the management of the thrombotic complications with special emphasis on the unique characteristics of the newborn hemostasis system and anti-thrombin (AT) depletion in nephrotic syndrome. Due to the relatively low incidence of CNS in children and scarce information in the literature on the optimal management of the thromboembolic complications, most of the recommendations are based on the authors' experience.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".