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Delivery room practices for extremely preterm infants: the harms of the gestational age label

2016· editorial· en· W2326190595 on OpenAlexaff
Annie Janvier, John D. Lantos

Bibliographic record

VenueArchives of Disease in Childhood Fetal & Neonatal · 2016
Typeeditorial
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsPsychological interventionGestational ageMedicineIntervention (counseling)PediatricsNeonatal intensive care unitFamily medicinePregnancyNursing

Abstract

fetched live from OpenAlex

Interventions for extremely preterm infants bring up many ethical questions. To answer these questions, data are needed. The investigators of the Epipage-2 study have conducted a rigorous investigation: they report outcomes for all 2145 neonates born between 22 and 26 weeks of gestational age (GA) in France in 2011.1 Their primary outcome measure was the provision of life sustaining interventions in the delivery room and survival statistics. They show that, over a year in France, only one baby born before 24 weeks GA survived to neonatal intensive care unit (NICU) discharge. NICU admission was withheld for 96%, 91%, 38% and 8% of neonates at 22, 23, 24 and 25 weeks of GA. This data is not surprising, as the French policy recommends non-intervention for the smallest babies and practices conform to the policy. Six other European countries have similar non-treatment policies.2 National policies generally based their recommendations on local or national outcome data. But policies do not just reflect outcomes, they shape them. There is an iterative relationship between policies, guidelines and facts. Most other industrialised countries offer interventions at 23 weeks and, in those countries, many more such babies survive and most survivors do not have severe impairments. Generally, paediatricians and policy makers favour treatments that improve survival rates. Treatment for extremely preterm infants is the exception to this general rule. There are three common arguments …

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.352
Teacher spread0.325 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations32
Published2016
Admission routes1
Has abstractyes

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