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Record W3024967486

[Delivery site for fœtus with congenital heart disease : CHU of Liège experience and international recommandations].

2018· other· en· W3024967486 on OpenAlexaff
Christine Van Linthout, C Brulmans, Xavier Capelle, Frédéric Kridelka, Marie-Christine Seghaye

Bibliographic record

VenuePubMed · 2018
Typeother
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsHôpital Notre-Dame
Fundersnot available
KeywordsMedicineIn uteroPediatricsGynecologyObstetricsFetusPregnancy
DOInot available

Abstract

fetched live from OpenAlex

Optimal choice of delivery site after a diagnosis of congenital heart disease (CHD) improves neonatal mortality and morbidity. We report the CHU of Liège experience and review the international recommendations. Between 2011 and 2016, 54 fetuses were diagnosed with CHD in our service. Retrospectively we estimated the appropriateness of the site of delivery considering the postnatal outcome. We confronted our experience with the recent international recommendations for in utero transfer to a tertiary center. The latter are based on the risk of hemodynamic instability at birth but differ for the ductal-dependent cardiopathy. The postanatal evolution and the low emergency transfer rate (4 %) in our series demonstrate the quality of our policy. We propose to validate the French transfer in utero recommendations for our obstetrical department, especially for ductal-dependent cardiopathy.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.261
Teacher spread0.241 · 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 designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

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