Searching for markers of the right heart-pulmonary circulation unit function: a continuing challenge
Bibliographic record
Abstract
The pathophysiological state of the right heart-pulmonary circulation unit (RH-PCU) represents a major prognostic determinant of cardiorespiratory diseases.1–2 Over the years, several investigators have studied multiple markers of mild to severely impaired RH-PCU and the related clinical symptoms, findings, and outcomes (Table 1).1–3 Most recently, measures of right ventricular (RV) strain by two-dimensional (2D) speckle tracking has been used to measure RV systolic function and has been applied to a pulmonary hypertension population.4 This latter parameter may look at only the free wall, or may include the interventricular septum, with the term ‘global RV strain’. The problem with 2D strain as well as most of the echocardiographic approaches relates to the observation that they are regional and not global. In addition, the concept that so many parameters are needed to measure RV function and to prognosticate belies the fact that none of them alone are sufficient. ... In this regard it should be highlighted that an early manifestation of pulmonary vascular diseases is usually characterized by unexplained effort dyspnoea but normal resting haemodynamics. This requires suspicion for subtle ‘signals’ of an abnormal condition (compensated latent phase).2 In this scenario monitoring pressure—flow relationship response to exercise may constitute an important added diagnostic value with potential prognostic (RV contractile reserve) and therapeutic implications.5–6
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.010 | 0.018 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".