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Record W2394910038

Consensus statements on the borderlands of neonatal viability: from uncertainty to grey areas.

2007· article· en· W2394910038 on OpenAlexaboutno aff
Claudine Vavasseur, Adrienne Foran, J F A Murphy

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineConfoundingGestational agePediatricsBirth weightGestationFamily medicineIntensive careDemographyPregnancyIntensive care medicine
DOInot available

Abstract

fetched live from OpenAlex

The gestational age and birth weight cut off for intact survival in extremely preterm infants is unclear. There is uncertainty among obstetricians and neonatologists about when it is inadvisable to institute intensive care. The suggested definition in relation to viability is when mortality does not exceed 50% but the corresponding figure for disability is undetermined. On foot of these concerns many groups have produced consensus statements on viability over the past 15 years. In this paper we examine the findings in 7 consensus statements on viability- British Association of Perinatal Medicine, American Academy of Pediatrics, The Fetus and Newborn Committee Canada, The Dutch Group, The Australian Group, Nuffield Institute of Bioethics, Neonatal Section of the Irish Faculty of Paediatrics. A number of points of agreement emerge. All would provide intensive care at 26 weeks and most would not at 23 weeks. The grey area is 24 and 25 weeks gestation. This group of infants constitute 2 per 1000 births. The difficulty is that there are a number of confounding variables. Girls have approximately 1 week advantage over boys, every day increases survival by 3%, the benefits of a full course of antenatal steroids, the problem of multiple birth, the baby's condition at delivery. Also concerns have been expressed about basing policy on short-term follow-up only. Extreme prematurity is both uncommon and complex and should be managed in high volume tertiary centres that are familiar with the necessary facets for decision making.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.282
metaresearch head score (Gemma)0.453
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.282
Threshold uncertainty score0.885

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2820.453
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0060.005
Science and technology studies0.0060.010
Scholarly communication0.0080.009
Open science0.0080.014
Research integrity0.0120.018
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.070
GPT teacher head0.375
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations20
Published2007
Admission routes1
Has abstractyes

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