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Record W2028579809 · doi:10.1177/1089253214566887

Anesthetic Management of Parturients With a Fontan Circulation

2015· review· en· W2028579809 on OpenAlexaff
Mohamed Tiouririne, Duncan G. de Souza, Kevin T. Beers, Terrance A. Yemen

Bibliographic record

VenueSeminars in Cardiothoracic and Vascular Anesthesia · 2015
Typereview
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsUniversity of British Columbia, Okanagan CampusKelowna General HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicinePreloadAfterloadFontan procedureAnestheticAnesthesiaPregnancyIntensive care medicineVentricleCardiologyHemodynamics

Abstract

fetched live from OpenAlex

Parturients with Fontan physiology provide unique and complex challenges to anesthesiologists. Such challenges include the maintenance of a perfect balance between preload, pulmonary vascular resistance, afterload, and cardiac output in a setting of a single ventricle physiology. The physiological changes of pregnancy add additional burden to an already "fragile" physiology, making the anesthetic management for labor and/or cesarean delivery even more complex. Understanding the impact of these changes on the Fontan physiology and the effect of anesthetic choices on this dyad (pregnancy-Fontan) is an imperative prior to caring for these patients. In an effort to determine how these patients are best managed for labor and/or cesarean delivery, we have reviewed the literature examining the peripartum anesthetic management of parturients with Fontan circulation and have identified 27 case reports.

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)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.329
Teacher spread0.300 · 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
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

Citations20
Published2015
Admission routes1
Has abstractyes

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