Prognostic value of right ventricular longitudinal strain assessed by multimodal imaging in amyloidosis: systematic review and meta-analysis
Bibliographic record
Abstract
Aims Amyloidosis is a progressive and often fatal disease, with right ventricular (RV) involvement emerging as critical determinant of outcomes. This meta-analysis sought to evaluate the prognostic significance of RV longitudinal strain parameters in patients with amyloidosis. Methods and results Eligible studies reporting on the association between RV free-wall longitudinal strain (RV-FWLS) and RV global longitudinal strain (RV-GLS) assessed by echocardiography or cardiac magnetic resonance (CMR) with adverse outcomes were included. Using an inversely weighted random-effects meta-analysis, pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated for all-cause mortality and a composite endpoint of all-cause death or heart failure hospitalization per 1% lower RV strain values. Eighteen studies with low-to-moderate risk of bias (Newcastle-Ottawa scale) and encompassing 1772 patients [mean age 68.8 ± 8.8 years; 57.3% with light-chain amyloidosis (AL)], were analysed. 210 patients experienced the composite outcome (median [inter-quartile range] follow-up: 1.5 [0.6] years) and 628 died [median follow-up: 2.6 (1.6) years]. 2D speckle-tracking RV-FWLS was associated with all-cause mortality (HR: 1.10; 95% CI: 1.07-1.13; I² = 8.6%) and the composite outcome (HR: 1.06; 95% CI: 1.02-1.10; I² = 0%). Similarly, 2D speckle-tracking RV-GLS was associated with all-cause mortality (HR: 1.10; 95% CI: 1.07-1.13; I² = 8.6%). Subgroup and meta-regression analysis confirmed consistency across amyloid subtypes, study design, presence of cardiac involvement, follow-up duration, and strain analysis software. In AL amyloidosis, CMR-based RV-GLS also predicted all-cause mortality (HR: 1.06; 95% CI: 1.03-1.09; I² = 0%). Conclusion RV longitudinal strain parameters are powerful and robust predictors of adverse outcomes in amyloidosis.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.030 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".