Lumbar Cerebrospinal Fluid Drains for Thoracic Endovascular Aneurysm Repair
Bibliographic record
Abstract
The recent description by Awad et al.,1 accurately reports an interesting, and thankfully rare, complication of a neuraxial subdural hematoma complicating lumbar cerebrospinal fluid (CSF) drain placement in a patient undergoing thoracic endovascular aortic aneurysm repair. It also states that CSF drain placement is indicated as “a standard of care” in open and thoracic endovascular aortic aneurysm repair cases in order to reduce the risk of spinal cord ischemia. Although there are published guidelines recommending the use of CSF drains in these surgical settings,2 the evidence supporting their use is arguably rather weak (levels B and C)3 and is either quite dated,3 or based largely on expert opinion.4 Accordingly, the uptake of lumbar CSF drain use is somewhat irregular and to suggest that it should be a “standard of care” (i.e., what the average prudent practitioner should be practicing given similar circumstances) is probably inaccurate. Although lumbar CSF drain placement may be commonplace in many centers, to state that it is a standard of care, and thus implicitly suggest that it should routinely be done, probably overemphasizes the utility of CSF drains in these settings.The author declares no competing interests.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".