Prophylactic cyclo-oxygenase inhibitor drugs for the prevention of morbidity and mortality in extremely preterm infants: a clinical practice guideline incorporating family values and preferences
Bibliographic record
Abstract
ImportanceProphylactic cyclo-oxygenase inhibitors (COX-Is) such as indomethacin, ibuprofen and acetaminophen may prevent morbidity and mortality in extremely preterm infants (born ≤28 weeks' gestation). However, there is controversy around which COX-I, if any, is the most effective and safest, which has resulted in considerable variability in clinical practice. Our objective was to develop rigorous and transparent clinical practice guideline recommendations for the prophylactic use of COX-I drugs for the prevention of mortality and morbidity in extremely preterm infants. The Grading of Recommendations Assessment, Development and Evaluation evidence-to-decision framework for multiple comparisons was used to develop the guideline recommendations. A 12-member panel, including 5 experienced neonatal care providers, 2 methods experts, 1 pharmacist, 2 parents of former extremely preterm infants and 2 adults born extremely preterm, was convened. A rating of the most important clinical outcomes was established a priori. Evidence from a Cochrane network meta-analysis and a cross-sectional mixed-methods study exploring family values and preferences were used as the primary sources of evidence. The panel recommended that prophylaxis with intravenous indomethacin may be considered in extremely preterm infants (conditional recommendation, moderate certainty in estimate of effects). Shared decision making with parents was encouraged to evaluate their values and preferences prior to therapy. The panel recommended against routine use of ibuprofen prophylaxis in this gestational age group (conditional recommendation, low certainty in the estimate of effects). The panel strongly recommended against use of prophylactic acetaminophen (strong recommendation, very low certainty in estimate of effects) until further research evidence is available.
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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 | 0.046 | 0.096 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".