A time for hope: guidelines for the perinatal management of extremely preterm birth
Bibliographic record
Abstract
With improvements in perinatal care, even the most immature babies can now survive, the majority of survivors having good long-term outcomes. At the very limits of what modern perinatal care is able to achieve, for the smallest babies, there are ongoing debates and passionate disagreements about institution of intensive care. To help clinicians make decisions about life-sustaining interventions, many national academic societies have developed policy statements. Guidelines usually describe a risk-based approach for interventions in the ‘peri-viable’ period by dividing preterm infants into three categories: ‘beneficial’, where intervention is generally recommended, ‘grey zone’ where interventions follow the decision of parents and ‘futile’, where comfort care is recommended.1 Unfortunately, many policies divide infants into these categories using gestational age (GA) alone: based on imprecise estimates of completed 7-day periods of gestation. However, prognosis depends on many variables, and several academic societies now propose also using other factors to make important decisions. The new framework from the British Association of Perinatal Medicine (BAPM) takes a welcome, and slightly different approach, describing a process for arriving at decisions, rather than offering rigid recommendations. The previous BAPM framework was more directive, strongly suggesting comfort care at 23 weeks gestation, up until 23 weeks and 6 days, but active intensive care for most infants born at 24 weeks1. During the same period, the French policy statement had similar GA cut-offs to make life-and-death decisions,1 but in the French statement babies born at …
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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 | 0.012 | 0.053 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.011 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 0.010 |
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".