Impact of internal carotid artery thickness on postoperative cognitive function in cervical spondylotic myelopathy patients
Bibliographic record
Abstract
BACKGROUND: Cervical spondylotic myelopathy(CSM) is a prevalent degenerative disorder, with anterior cervical discectomy and decompression as the primary treatment. However, some patients may develop postoperative cognitive dysfunction (POCD). Carotid artery intima-media thickness (IMT), an early marker of carotid atherosclerosis, could be linked to changes in cerebral blood flow and cognitive function after surgery. METHOD: The study included patients with cervical spondylotic myelopathy scheduled for anterior cervical discectomy and decompression. Based on preoperative carotid artery IMT measurements, patients were divided into two groups: high IMT (>0.9 mm) and low IMT (≤0.9 mm). Cognitive function was evaluated using the Montreal Cognitive Assessment (MoCA) before surgery and at 1 week, 1 month, and 3 months after surgery. T-tests and multiple regression analyses were used to compare cognitive changes between groups, adjusting for confounding factors. RESULT: The study included 100 patients, with 40 in the high IMT group and 60 in the low IMT group. At 1 week post-surgery, the MoCA scores in the high IMT group were significantly lower than those in the low IMT group (P＜0.05). However, no significant differences in cognitive function were observed between the two groups at 1 month and 3 months post-surgery, with both groups improving (P＞0.05). CONCLUSION: Elevated carotid IMT is associated with increased POCD risk after Anterior cervical discectomy and decompression (ACDF) in CSM patients. Preoperative IMT assessment may help predict POCD and guide personalized perioperative care.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 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".