The Echocardiographic Assessment of Pulmonary Arterial Hypertension
Bibliographic record
Abstract
Echocardiography has become an important screening tool for the assessment of the patient with pulmonary arterial hypertension. Although it provides an indirect assessment and cannot be used to determine pulmonary vascular resistance the technique is at the forefront of investigations, and in many instances is the only one necessary to exclude the diagnosis. There are multiple techniques at the disposal of the echocardiographer which demonstrates the versatility of this technique. The technique relies heavily on the presence of tricuspid and/or pulmonary regurgitation to provide an absolute value, and fortunately these are present in many individuals undergoing echocardiographic assessment. In those where right-sided regurgitation is absent, indirect assessment can be of value in determining the presence or absence of raised pulmonary artery pressure. As well, echocardiography can be used to assess the impact of pulmonary hypertension on ventricular function, with some of the newer tools providing valuable insight into ventricular mechanics.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".