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Record W2157906167 · doi:10.1002/uog.1856

Cardiac diverticulum with pericardial effusion: report of two new cases treated by <i>in‐utero</i> pericardiocentesis and a review of the literature

2005· review· en· W2157906167 on OpenAlexaffabout
Fionnuala M. McAuliffe, Lisa K. Hornberger, Jo‐Ann Johnson, David Chitayat, Greg Ryan

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2005
Typereview
Languageen
FieldMedicine
TopicCardiac Structural Anomalies and Repair
Canadian institutionsHospital for Sick ChildrenMount Sinai Hospital
Fundersnot available
KeywordsMedicinePericardiocentesisPericardial effusionDiverticulum (mollusc)In uteroEffusionCardiac tamponadeSurgeryRadiologyFetusPregnancy

Abstract

fetched live from OpenAlex

Congenital cardiac diverticula are rare abnormalities that may occur as isolated malformations. They are often associated with pericardial effusions, which may cause both pulmonary hypoplasia and progressive fetal hydrops. Few cases are reported in fetal life. Mount Sinai Hospital, Toronto, has previously reported two cases of cardiac diverticula complicated with pericardial effusion successfully treated in utero with aspiration of the pericardial fluid. Here a further two cases of isolated apical right ventricular diverticula with large pericardial effusion, one diagnosed at 16 weeks and another at 13 weeks' gestation are described. In-utero drainage of pericardial effusion was performed once in each case at 16 and 14 weeks' gestation, respectively, with good neonatal outcome. Both had normal karyotype and there was no evidence of maternal or fetal infection. The pericardial effusion did not recur in either case. Given the otherwise favorable prognosis for this lesion, and the excellent response in these cases, prenatal pericardiocentesis should be considered in similar cases.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.272
Teacher spread0.263 · 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
GenreReview

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

Citations46
Published2005
Admission routes2
Has abstractyes

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