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Record W4402358730 · doi:10.1002/uog.28256

EP07.07: Congenital portosystemic fistulas: a case series

2024· article· en· W4402358730 on OpenAlexaff
E. Koulaymi, Moncef Khairallah, Cergika Veluppillai, Wael Abdallah

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2024
Typearticle
Languageen
FieldMedicine
TopicAmoebic Infections and Treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSeries (stratigraphy)MedicineGeologyPaleontology

Abstract

fetched live from OpenAlex

Congenital portosystemic fistulas (CPF) are rare congenital malformations characterised by abnormal vascular communications between the portal system and the caval system. They can be isolated or may be associated with other congenital anomalies, including intrauterine growth retardation (IUGR). 4 patients were referred to our unit after prenatal diagnosis of CPF, identified by ultrasound during the early third trimester. Among these cases, 3 were associated with IUGR, and one presented with bilateral clubfoot where parents refused the amniocentesis. After the diagnosis, fetuses underwent a closed follow-up and fetal cardiac ultrasound. Fetal hemodynamics were normal, except for one case with moderate biventricular hypertrophy. Induction of labour was performed in two cases at 37 weeks due to pre-eclampsia, and in one case due to severe IUGR. The fourth case underwent a repeat Caesarean section at 37+6 weeks due to preterm premature rupture of membranes. After birth, abdominal and cardiac ultrasound was provided for each newborn. All newborns demonstrated good adaptation to extrauterine life, remained asymptomatic, and were clinically and hemodynamically stable. Spontaneous closure of the fistulas occurred without surgical intervention. Early detection of CPF through prenatal screening can improve postnatal outcomes and prognosis. Most CPF cases have a favourable outcome and remain asymptomatic in childhood. Spontaneous closure typically occurs within the first two years of life without sequelae in the majority of cases. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0050.002

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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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 designCase report
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
Published2024
Admission routes1
Has abstractyes

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