Early diagnosis of neonatal cholestatic jaundice: test at 2 weeks.
Bibliographic record
Abstract
OBJECTIVE: To review best practices for early recognition and treatment of conditions resulting in neonatal cholestasis, in order to improve long-term outcomes for affected infants. QUALITY OF EVIDENCE: Studies, review articles, and meta-analyses pertaining to neonatal-onset cholestasis were sought via electronic databases. Reference lists of studies and review articles supplemented the electronic search. Studies were included if they examined the importance of early diagnosis and intervention for cholestatic jaundice of any cause, and mainly comprised Level II and Level III evidence. MAIN MESSAGE: Review of the relevant literature supports the recommendation that infants with jaundice at 2 weeks of age should be tested for cholestasis by quantifying the direct reacting bilirubin levels in their blood. Subsequent rapid investigation using a diagnostic algorithm enables early diagnosis of the specific cause and facilitates timely intervention for conditions whose outcomes are improved by early treatment. CONCLUSION: Universal screening for neonatal cholestasis might help with early identification of cases and improve outcomes, although further study is required in the North American setting.
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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 | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".