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Record W4239484752 · doi:10.1007/978-1-60761-219-3_33

Cardiogenic Shock

2011· book-chapter· en· W4239484752 on OpenAlexaff
M. GABRIEL KHAN, M. Gabriel Khan

Bibliographic record

VenueHumana Press eBooks · 2011
Typebook-chapter
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsCardiogenic shockCardiologyComputer scienceMedicineMyocardial infarction

Abstract

fetched live from OpenAlex

Cardiogenic shock is a clinical state in which target tissue perfusion is inadequate to supply vital substrates and remove metabolic waste. This end-organ hypoperfusion is usually caused by heart failure (HF). Inadequate cellular oxygenation leads to marked generalized impairment of cellular function and multiorgan failure. Autopsy studies indicate that combined new and old extensive myocardial infarction (MI) consistently involve more than 40% of the left ventricular (LV) myocardium. Hemodynamic parameters include: persistent hypotension (systolic blood pressure <80–90 mmHg or mean arterial pressure 30 mmHg lower than the baseline) with severe reduction in cardiac index (<1.8 L/min/m 2 without support or <2.0–2.2 L/min/m 2 with support) and adequate or elevated filling pressure (e.g., LV end-diastolic pressure >18 mmHg or right ventricular [RV] end-diastolic pressure >10–15 mmHg) (Reynolds and Hochman 2008 ). Cardiogenic shock occurs in 6–19% of patients with an acute MI that...

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.105
Threshold uncertainty score0.351

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1050.061

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 head0.069
GPT teacher head0.268
Teacher spread0.200 · 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
Published2011
Admission routes1
Has abstractno

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