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Record W4308557210 · doi:10.1017/9781009025034.020

Air Embolism Related to Sex in Pregnancy and the Postpartum

2022· book-chapter· en· W4308557210 on OpenAlexaff
Dina Mohamed, M. Momtaz, Dan Farine

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook-chapter
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsMedicineAir embolismInsufflationAir bubbleAmniotic fluid embolismEmbolismCervical canalAnesthesiaSurgeryPregnancyCervixInternal medicineComplication

Abstract

fetched live from OpenAlex

Air embolism is acute embolism resulting from vaginal insufflation. It was first reported in 1936. There is no definite report of its incidence, but has been described in 18 mortalities out of 20 million pregnancies. When air is introduced under pressure, it travels through the dilated cervical canal and beneath the amniotic membranes, to enter the subplacental sinuses. Once air enters the venous drainage of the uterus, it reaches the inferior vena cava, and from there to the right side of the heart. Patients with venous air embolism (VAE) may present with a wide variety of symptoms. The most serious manifestation of VAE is out-of-hospital cardiac arrest. Laboratory abnormalities vary according to the severity of the embolism but lack specificity. The first line of treatment is advising pregnant females against orogenital sex with air insufflation. Accurate diagnosis is the key for managing VAE. Management starts with administration of 100% oxygen, then turning the patient onto her left side in a head-down position. In case of cardiovascular collapse, closed-chest compression is used to remove air trapped in the right side of the heart. Hyperbaric oxygen therapy has been proved to be an effective therapy as well.

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)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

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 head0.013
GPT teacher head0.201
Teacher spread0.189 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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