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Record W4400223103 · doi:10.14740/jcgo966

A Twin Pregnancy With Undiagnosed Hereditary Hemorrhagic Telangiectasia With Severe Hypoxia

2024· article· en· W4400223103 on OpenAlexvenueno aff
Jessica Wu, E. Charles Lampley

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2024
Typearticle
Languageen
FieldMedicine
TopicVascular Anomalies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAsymptomaticTelangiectasiaHypoxia (environmental)PregnancyGestationEmbolizationPulmonary hypertensionPediatricsFetusRare diseaseDiseaseObstetricsSurgeryRadiologyInternal medicine

Abstract

fetched live from OpenAlex

During pregnancies with hereditary hemorrhagic telangiectasia (HHT), rare severe complications could be fatal. This study presents a Chinese immigrant with twin gestation with asymptomatic hypoxia. The pregnancy was complicated with fetal growth discordance, placental insufficiency, and preterm labor, which she delivered at 34 weeks via a primary cesarean section. The series of images showed multifocal bilateral pulmonary arteriovenous malformations and evidence of pulmonary hypertension. Postoperatively, the patient required high-flow oxygen and nitrogen oxide supply due to severe hypoxia. HHT was diagnosed with positive genetic testing of the ENG variant. She received pulmonary artery embolization and the hypoxia improved. The further workup of brain and liver arteriovenous malformations was negative. This study reviewed literature about HHT and its effects on pregnancies. The disease onset, the diagnostic process, and the management experience might provide clinical value for care providers and for future reference. J Clin Gynecol Obstet. 2024;13(2):48-50 doi: https://doi.org/10.14740/jcgo966

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)0.003
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.322
Teacher spread0.294 · 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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