Abstract 4138662: Mineralocorticoid receptor antagonist in patients with acute myocardial infarction: An updated systematic review and meta-analysis of randomized trials
Bibliographic record
Abstract
Background: While mineralocorticoid antagonists (MRA) reduce mortality in patients developing heart failure post myocardial infarction (MI), it is unclear whether they are beneficial in an unselected post-MI population. Aims: Using a systematic review and meta-analysis, we aim to determine the effect of MRA treatment versus no MRA treatment on all-cause mortality in unselected post-MI patients from randomized data, simultaneously with the presentation of the largest randomized controlled trial on the topic, the CLEAR SYNERGY trial. Methods/Approach: We completed a systematic review of all randomized controlled trials comparing MRA treatment to no MRA treatment in post-MI patients. We will perform our primary analysis using fixed effects with the Peto odds ratio method and use random effects as a sensitivity analysis. The primary outcome will be all-cause mortality, and secondary outcomes will include cardiovascular mortality, new or worsening heart failure, recurrent myocardial infarction and stroke. Results/Data: Our systematic review of Pubmed, Embase, and CENTRAL from inception until April 30, 2024, yielded 456 records. A total of 11,199 participants from 11 randomized clinical trials will be included in addition to the late-breaking CLEAR SYNERGY trial. The CLEAR SYNERGY trial is a 2 x 2 factorial randomized controlled trial of low-dose colchicine 0.5mg daily versus placebo and spironolactone 25mg daily versus placebo in 7,062 post-MI patients who were within 72h of the index percutaneous coronary intervention. The results of the spironolactone factorial will be presented in the fall of 2024 with an expected median follow-up of 3.5 years. As the investigators of the CLEAR SYNERGY trial, we will combine our data with the other 11 trials for a total of 12 trials and 18,261 participants. Conclusions: CLEAR SYNERGY is the largest randomized controlled trial with the longest follow-up of spironolactone in the post-MI population. Our meta-analysis will provide updated effect estimates of post-MI MRA treatment, leveraging the late-breaking CLEAR SYNERGY data to reflect the totality of the evidence.
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 | 0.018 | 0.045 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.029 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".