Robotic-enhanced coronary surgery in octogenarians
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
Objectives: Robotic-enhanced minimally invasive direct coronary artery bypass grafting surgery (RE-MIDCAB) is based on the use of a robotic console and instrumentation for the dissection of the left internal thoracic artery (LITA). The LITA to left anterior descending (LAD) artery anastomosis is subsequently constructed through a mini thoracotomy. The purpose of this study is to present our experience of RE-MIDCAB outcomes in elderly patients. Methods: From 2002 until 2015, 44 octogenarians (the mean age of 82.9 years) underwent RE-MIDCAB. The mean logistic EuroSCORE was 9.2. The majority of the patients were male with a medical history of hypertension, dyslipidaemia and previous coronary interventions. Of these patients 25% underwent RE-MIDCAB combined with percutaneous coronary intervention (PCI) for the treatment of multi-vessel disease (hybrid revascularization). Results: All RE-MIDCABs and combined 'hybrid' PCI procedures were successfully completed. The mean intensive care unit (ICU) and hospital stay were 1.6 days and 10.9 days, respectively. There was 1 in-hospital mortality (2.3%). After an average follow-up period of 29.2 months, 5 patients required repeat revascularization procedures (9.1%). Mortality on follow-up was estimated at 25.6%. Conclusions: Our report suggests that considering the age and frailty of the octogenarian population, RE-MIDCAB is a feasible and safe procedure which is associated with acceptable mid-term results.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 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