An Adult Patient With Acute Ischemic Stroke and Carotid Stenosis Presenting to a Chiropractor: A Case Report
Bibliographic record
Abstract
A 59-year-old male, with a recent history of acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia, presented to a chiropractor with a one-week history of numbness in the right upper and lower extremity that was triggered by neck movement, and lightheadedness/dizziness. On examination, the chiropractor noted limited, painful cervical spine range of motion, right upper extremity weakness, patellar hyperreflexia, positive Hoffman's and Trömner's signs bilaterally, nystagmus, a sluggish right pupillary light reflex, and carotid bruit. Cervical radiographs were suggestive of Klippel-Feil syndrome. The chiropractor suspected a vascular cause such as a transient ischemic attack and referred the patient to the emergency department, which the patient visited the following day. The patient was admitted, and MRI revealed multiple tiny acute to subacute cortical infarcts of the left frontal and parietal lobes while sonography demonstrated left internal carotid artery stenosis. The patient was treated with anticoagulant and antiplatelet medications and carotid endarterectomy with a positive outcome. Given the overlap between symptoms of stroke and those of the cervical spine, chiropractors should be prepared to recognize potential stroke patients and refer them for emergent medical management.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".