Effect of direct angioplasty therapy on acute middle cerebral artery occlusion with good leptomeningeal collateral
Bibliographic record
Abstract
Abstract Background: The objective of this study was to investigate and discuss the effect of direct angioplasty therapy on acute middle cerebral artery occlusion (MCAO) patients with good leptomeningeal collateral circulation in 4.5 hours. Methods: We retrospectively reviewed our acute ischemic stroke database from January, 2017 to January, 2019, then selected consecutive patients with evidence of the proximal M1 segments of MCAO and good leptomeningeal collateral who have received angioplasty or mechanical thrombectomy (MT). The baseline characteristics and outcome of patients was statistical analysis, included age, gender and risk factors, baseline national institutes of health stroke scale (NIHSS) scores, preoperative alberta stroke programme early CT (ASPECT) score, time from door to needle, time of door to puncture, endovascular procedure time, 7d NIHSS score and the modified treatment in cerebral infarction (m-TICI) 2b or 3, symptomatic hemorrhage, average hospital stays, modified rankin scale (mRS) score 0–2 at 3-month and mortality. All the thrombi were analyzed by histopathology. All statistical analysis was done with t test for continuous data and χ2 test for binary data. Results: A total of 93 patients were included (direct angioplasty = 41 (44.1%), MT = 52 (55.9%)). There was no significant difference in baseline data between the two groups. The difference in the time of door to recanalization, the time of puncture to recanalization, symptomatic hemorrhage, and average hospital stays were significantly different between groups (P<0.05). The other agents were not significantly different between groups (P>0.05 each). Histopathological analysis showed all thrombi contained different amounts of platelets, fibrinogen, white blood cell, and red blood cell. Conclusion: Direct angioplasty therapy on acute MCAO with good leptomeningeal collateral may help to shorten the time of surgery, reduce symptomatic hemorrhage, and hospital stay.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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 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".