Propensity score matched comparison of subcutaneous and transvenous implantable cardioverter-defibrillator therapy in the SIMPLE and EFFORTLESS studies
Bibliographic record
Abstract
Aims: Comparison of outcomes between subcutaneous and transvenous implantable cardioverter-defibrillator (S-ICD and TV-ICD) therapy is hampered by varying patient characteristics and complication definitions. The aim of this analysis is to compare clinical outcomes of S-ICD and TV-ICD therapy in a matched cohort. Methods and results: Patients implanted with de novo implantable cardioverter-defibrillators without need for pacing were selected from two studies: SIMPLE (n = 1091 single and n = 553 dual chamber TV-ICDs) and EFFORTLESS (n = 798 S-ICDs). Subcutaneous implantable cardioverter-defibrillator patients were 1:1 matched on propensity score to TV-ICD patients. Propensity scores were calculated using 15 baseline characteristics including diagnosis. The Kaplan-Meier estimates for complications requiring invasive intervention, appropriate shocks, and inappropriate shocks were calculated at 3 years follow-up. The primary analysis yielded 391 patients pairs with balanced baseline characteristics, with mean age 55 ± 14 years, 49% ischaemic cardiomyopathy, mean left ventricular ejection fraction 40%, 71% primary prevention, and 89% of TV-ICDs were single chamber. Follow-up was mean 2.9 years in the S-ICD arm vs. 3.3 in the TV-ICD arm. All-cause complications occurred in 9.0% of S-ICD vs. 6.5% of TV-ICD patients, P = 0.29. Appropriate shocks occurred in 9.9% of S-ICD vs. 13.8% in TV-ICD patients, P = 0.03 and inappropriate shocks in 11.9% in S-ICD vs. 8.9% in TV-ICD patients (P = 0.07). Total shock burden (20 vs. 31, P = 0.05) and appropriate shock burden per 100 patients years (9 vs. 18, P = 0.02) were lower for S-ICD patients, while inappropriate shock burden was equal (11 vs. 13, P = 0.56). Conclusion: The earliest experience of the S-ICD demonstrates similar outcomes as contemporary TV-ICD therapy in a matched comparison with predominately single-chamber devices at 3 years follow-up.
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".