Surgical Treatment for Ischemic Heart Failure (STICH) trial: A review of outcomes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Coronary artery disease (CAD) is a significant source of morbidity and mortality in developed countries. The landmark Surgical Treatment for Ischemic Heart Failure (STICH) trial has provided greatly needed evidence in the management of patients with severe left ventricle (LV) dysfunction (LVEF ≤ 35%) and CAD amenable to revascularization. The trial investigated two primary hypotheses: (i) that coronary artery bypass grafting (CABG) with optimal medical therapy (OMT) was superior to OMT alone, and (ii) that CABG with surgical ventricular reconstruction (SVR) would be superior to CABG alone. The results of the 10-year follow-up demonstrated significant long-term benefits with the addition of CABG to OMT. However, the second hypothesis yielded controversial results as the study found no difference between CABG with SVR and SVR alone. The STICH trial, and the numerous subanalyses that followed have reinforced and challenged a number of widely held beliefs regarding the management of patients with severe LV dysfunction and ischemic heart failure. The purpose of this comprehensive review is to outline the published data from the STICH trial and its substudies while providing a balanced assessment of the evidence-based conclusions and criticisms that have followed.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.014 | 0.026 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it