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Record W2133542134 · doi:10.3109/14767058.2013.789852

Are antenatal steroids beneficial to severely growth restricted fetuses?

2013· article· en· W2133542134 on OpenAlexaff
Lajos Kovács, Apostolos Papageorgiou

Bibliographic record

VenueThe Journal of Maternal-Fetal & Neonatal Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsFetusFetal growthMedicineObstetricsPregnancyBiology

Abstract

fetched live from OpenAlex

Antenatal steroids (AS) have been shown to enhance fetal maturation in preterms and to improve outcome. The aim of this study was to evaluate the efficacy of AS in premature severely intrauterine growth restricted infants. The electronic data of 149 inborn, single infants born 24 to 31 6/7 weeks of GA and with a BW ≤ 3rd percentile were reviewed. Infants with congenital anomalies and syndromes were excluded. We compared the outcome of those who received 2 doses of AS (group A, 87 infants) with those who did not receive AS (group B, 62 infants). Sixty-eight infants in group A and 53 in group B were discharged home alive. AS did not improve the neonatal outcome, with the exception of a better cord pH and 5-min Apgar and we did not observe a significant difference in the Griffith's test at 2 years of corrected age, although there was a trend to a higher incidence of severe global delay in the steroid group. In view of the potential cerebral and CVS risks associated with high circulating steroids, the indications for AS in such a population need to be re-evaluated.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.274
Teacher spread0.253 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations21
Published2013
Admission routes1
Has abstractyes

Explore more

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