Bibliographic record
Abstract
PURPOSE OF REVIEW: Right ventricular (RV) assessment has long been challenging and technically difficult using echocardiography. This is mainly the result of the asymmetrical shape of the RV making it difficult to visualize on one-or-two dedicated views, thus requiring multiple integrated views and subjective assessment. Measurement of tricuspid annular systolic plane excursion and RV tissue Doppler velocity have become relied-upon methods of objective assessments; however, have limitations for characterizing true RV physiology. RECENT FINDINGS: Studies suggest that two-dimensional RV free wall longitudinal systolic strain (RVFWS) using speckle-tracking echocardiography has emerged as a reproducible, feasible and highly prognostic technique for quantifying RV function. This has been demonstrated for patients with heart failure, ischemic heart disease, pulmonary hypertension, infiltrative disease and many other types of cardiovascular disease. SUMMARY: The current review outlines the clinical use of RVFWS, and its integration with other commonly used echocardiographic measurements to more accurately assess RV function, cause and prognosis to guide and improve patient care decision making.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.004 |
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".