Spinal cord transient ischemic attacks: A possible role for abciximab
Bibliographic record
Abstract
Spinal cord TIAs can occur with aortic dissection, after aortic surgery, or with severe aortic atherosclerosis.1,2 Previous reports have focused mainly on the diagnosis and postmortem findings, and have not documented the role, if any, of thrombolysis, anticoagulation, or antiplatelet therapy in these patients. A 53-year-old man had three sudden episodes over a week of lower extremity weakness, bladder incontinence, and saddle anesthesia lasting 15 to 45 minutes, some accompanied by numbness and paresthesias around his buttocks. His past history was remarkable for treated hypertension and heavy smoking. His neurologic examination was relatively normal. Arterial pulses in legs were severely diminished and the dorsalis pedis pulsations could only be detected with a Doppler scan. Over the next 3 days, the episodes increased in severity and frequency, precipitated initially by activity but progressing to occur at rest. Along with saddle anesthesia he had loss of bladder control and transient leg weakness lasting several minutes …
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.011 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".