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Record W4238967310 · doi:10.1002/9781118768341.ch31

Cardiac Intensive Care

2015· other· en· W4238967310 on OpenAlexaff
V. Ben Sivarajan, Justin Yeh, Peter C. Laussen, Stephen J. Roth

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsPreloadMedicineCardiac outputMechanical ventilationAfterloadIntensive care medicineCardiologyCardiac surgeryVentilation (architecture)ResuscitationInternal medicineHemodynamicsAnesthesia

Abstract

fetched live from OpenAlex

This chapter begins with a discussion of pathophysiology and implications of broad classes of congenital cardiac defects, including mixing lesions, shunts, and outflow obstruction lesions. Next, airway and ventilation management is presented, focusing on cardiorespiratory interactions, and the influence of lung volumes, intrathoracic pressure, and positive end-expiratory pressure on cardiac physiology. Then, alternative modes of ventilation, and weaning from ventilation are discussed. The next section of the chapter presents a discussion of myocardial dysfunction and hemodynamic monitoring, with an emphasis on assessment of cardiac output, surgical factors, effects of bypass, dysrhythmias, low preload/high afterload, and decreased myocardial contractility. The latter part of the chapter starts with a presentation of cardiopulmonary resuscitation, postoperative complications, quality improvement, and mechanical support of the circulation. Finally, reviews of hemostasis, infection control, neurological complications and monitoring, fluid management and renal dysfunction, and nutritional and gastrointestinal complications are presented.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.861
Threshold uncertainty score0.466

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1390.044

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 head0.288
Teacher spread0.275 · 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.

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

Citations1
Published2015
Admission routes1
Has abstractyes

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