Bibliographic record
Abstract
Neurology has evolved from a rich, descriptive discipline to one with many diagnostic and therapeutic options supported by an increasingly robust evidence base. This review looks at new evidence on the management of temporal lobe epilepsy, which shows that surgery can now prevent years of ineffective drug treatment and unnecessary disability. In stroke, simple clinical scales can accurately identify patients who will benefit most from evidence based treatments, although interventions of proved efficacy and safety continue to be underused. In dementia, while the promise of early preventive measures looms on the horizon, the clinical importance of available antidementia drugs continues to be investigated. Finally, the usefulness of the clinical neurological examination is being systematically analysed in specific conditions, such as migraine and carpal tunnel syndrome. #### Recent developments Patients with temporal lobe epilepsy should be considered for surgical treatment if more than two consecutive anticonvulsants fail to control the seizures The risk of stroke in patients with atrial fibrillation can be accurately predicted by the presence of risk factors such as congestive heart failure, hypertension, increased age, diabetes, and especially prior cerebral ischaemia Carotid endarterectomy for prevention of stroke in symptomatic carotid stenosis is more effective in patients aged over 75 than in younger patients Patients with ischaemic stroke who can be treated within three hours of onset should be considered for thrombolysis; larger strokes, as assessed with a simple computed tomography based scoring system, are less likely to be reversed Use of interferon for first demyelinating episodes may prevent progression to clinically definite multiple sclerosis Early corticosteroid treatment (within seven days of onset of symptoms) may be effective in Bell's palsy We identified important neurological advances by canvassing subspecialty neurologists, performing hierarchical literature searches with SUMSearch (SUMSearch.UTHSCSA.edu/searchform4.htm), and reviewing medical collections such as bmj.com (www.bmj.com/collections/), Lancet Neurology Network (www.lancetneuronet.com/journal), Bandolier (www.jr2.ox.ac.uk/bandolier/), Health …
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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; both teacher heads agree on what is shown here.
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".