Feasibility and efficacy of transcatheter interatrial shunt devices for chronic heart failure: a systematic review and meta‐analysis
Bibliographic record
Abstract
AIMS: To assess the feasibility and efficacy of interatrial shunt devices (IASD) for the treatment of chronic heart failure (CHF). METHODS AND RESULTS: MEDLINE and the Cochrane Central Register of Controlled Trials from inception until April 2021 were searched for prospective studies investigating dedicated transcatheter IASD for the treatment of CHF. Standardised mean differences were calculated for the within-group changes before and after implantation of the IASD. The pre-defined primary outcome was change in 6-min walking distance (6MWD) from baseline to 12 months. Other outcomes were change in New York Heart Association class, health-related quality of life (HRQoL), echocardiographic and haemodynamic data, device performance and safety. Subgroup analyses were crude univariable meta-regression analyses. Six studies (five single-arm open-label studies, one sham-controlled trial) were included. In these, 226 patients underwent IASD implantation using four different devices. From baseline to 12 months, 6MWD increased by 28.1 m [95% confidence interval (CI) 10.9-45.3] with no evidence for a difference between devices (P for interaction = 0.66) and patients with left ventricular ejection fraction (LVEF) >40% or ≤40% (P for interaction = 0.21). At 12 months, HRQoL improved by 17.7 points (95% CI 10.8-24.6) and pulmonary capillary wedge pressure (PCWP) decreased by 2.0 mmHg (95% CI -3.6 to -0.4). There were no changes in LVEF or N-terminal pro brain natriuretic peptide during follow-up. Shunt patency ranged from 50% for the first-generation v-Wave to 100% for the Corvia IASD II and the second-generation v-Wave system, respectively. The summary risk of serious adverse device-related effects was 8% (95% CI 1-20) at 12 months. CONCLUSIONS: Interatrial shunt device implantation in CHF is feasible and associates with improved submaximal exercise capacity (measured by 6MWD) and HRQoL, and reductions in PCWP.
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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 | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.031 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".