Role for Lumbar Cerebrospinal Fluid Drainage in High-risk Thoracic Endovascular Aortic Repair: A Narrative Review
Bibliographic record
Abstract
Lumbar cerebrospinal fluid (CSF) drainage is one of the few preventative and therapeutic practices that may reduce spinal cord ischemia in high-risk thoracic endovascular aortic aneurysm repair (TEVAR). Although this is part of clinical guidelines in open thoracoabdominal aortic repair, there are no randomized controlled trials that provide convincing evidence on the protection conferred by CSF drainage in high-risk TEVAR patients. This gap in knowledge obfuscates clinical decision making given the risk of significant complications of CSF drain insertion and management. The current literature is inconclusive and provides conflicting results regarding the efficacy of, and complications from, CSF drainage in TEVAR. Filling the knowledge gap resulting from the limited current state of the literature warrants additional high-quality randomized controlled clinical trials that balance CSF drainage efficacy with potential complications in high-risk TEVAR patients.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".