Impact of surgical aortic root enlargement on the outcomes of aortic valve replacement: a meta-analysis of 13 174 patients
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: This study sought to evaluate the impact of surgical aortic root enlargement (ARE) on the perioperative outcomes of aortic valve replacement (AVR). METHODS: Databases were searched for studies published until April 2018 to carry out a systematic review followed by meta-analysis of results. RESULTS: The search yielded 1468 studies for inclusion. Of these, 10 articles were analysed and their data extracted. A total of 13 174 patients (AVR with ARE: 2819 patients; AVR without ARE: 10 355 patients) were included from studies published from 2002 to 2018. The total rate of ARE was 21.4%, varying in the studies from 5.7% to 26.3%. The overall odds ratio (OR) [95% confidence interval (CI)] for perioperative mortality showed a statistically significant difference between the groups (among 10 studies), with a higher risk in the 'AVR with ARE' group (OR 1.506, 95% CI 1.209-1.875; P < 0.001), but not when adjusted for isolated AVR + ARE without any concomitant procedures such as mitral valve surgery, coronary artery bypass surgery, etc. (OR 1.625, 95% CI 0.968-2.726; P = 0.066-among 6 studies). The 'AVR with ARE' group showed an overall lower risk of significant patient-prosthesis mismatch among 9 studies (OR 0.472, 95% CI 0.295-0.756; P = 0.002) and a higher overall difference in means of indexed effective orifice area among 10 studies (random-effect model: 0.06 cm2/m2, 95% CI 0.029-0.103; P < 0.001). CONCLUSIONS: Surgical ARE seems to be associated with increased perioperative mortality but with lower risk of patient-prosthesis mismatch.
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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) | 0.011 | 0.109 |
| Bibliometrics | 0.001 | 0.001 |
| 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