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Record W2551489859 · doi:10.21693/1933-088x-15.2.87

Perioperative Management of Pediatric Pulmonary Hypertension

2016· article· en· W2551489859 on OpenAlexaff
Rebecca J. Kameny, Jeffrey R. Fineman, Ian Adatia

Bibliographic record

VenueAdvances in Pulmonary Hypertension · 2016
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsStollery Children's HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicinePerioperativePulmonary hypertensionCardiopulmonary bypassIntensive care medicinePulmonary function testingHemodynamicsCardiologyCardiac surgeryInternal medicineAnesthesia

Abstract

fetched live from OpenAlex

Perioperative management of patients with pulmonary hypertension or those at risk for increased pulmonary vascular reactivity should focus on supporting the patient through the vulnerable period of physiologic derangements surrounding surgery, including acute alterations in pulmonary blood flow, altered pulmonary endothelial function following cardiopulmonary bypass, invasive mechanical ventilation, and adaptation to new hemodynamics following correction or palliation of congenital heart disease lesions. These patients require careful attention to each step of perioperative management by teams experienced in the care of pediatric patients with pulmonary hypertension. This article will focus on preoperative evaluation, pulmonary hypertensive crises, general principles of perioperative management, and specific pulmonary vasodilator therapies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.289
Teacher spread0.266 · 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 teacher head, not a consensus.

Study designObservational
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

Citations11
Published2016
Admission routes1
Has abstractyes

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