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The left heart can only be as good as the right heart: determinants of function and dysfunction of the right ventricle

2007· article· en· W16963635 on OpenAlexaff
Sheldon Magder

Bibliographic record

VenueCritical Care and Resuscitation · 2007
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsVentricleMedicineCardiologyRight heartVentricular functionInternal medicineLeft and rightCardiac function curveAfterloadLeft VentriclesCardiovascular physiologyDiastoleBlood pressureHeart failure

Abstract

fetched live from OpenAlex

Discussions of cardiac physiology and pathophysiology most often emphasise the function of the left heart. However, right heart dysfunction plays an important role in critically ill patients and is often not recognised. This is probably because the role of the right ventricle is for generating flow more than pressure, and flow is not easy to evaluate. Of importance, when right ventricular function limits cardiac output, assessing left ventricular function gives little indication of overall cardiac performance. It has recently become evident that the right ventricle also has different genetic origins and characteristics from the left ventricle. The right and left ventricles interact through series effects, diastolic interactions and systolic interactions. The mechanisms of these, and their physiological and pathological significance are discussed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.321

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.317
Teacher spread0.301 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations28
Published2007
Admission routes1
Has abstractyes

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