Abstract T P42: Patients With a Clinical Diagnosis of Non-disabling Stroke, and a Normal MRI are Clinically Indistinguishable From Patients With a MRI Lesion at 1 Year Post Stroke
Bibliographic record
Abstract
Background: Up to one third of patients with a clinically apparent mild stroke and no other apparent cause of their symptoms have a normal MRI. We examined disability, recurrent stroke, and cognitive impairment at one year compared to patient with an MRI-DWI lesion. Methods: We recruited consecutive patients with a non-disabling ischaemic stroke, and performed clinical assessment and MRI (with DWI) . An expert panel reviewed all cases, we included patients with a final diagnosis of stroke and excluded patients with another diagnosis. At one year post stroke we recorded modified Rankin scale (mRs), stroke and TIA recurrence, Addenbrookes Cognitive Assessment Revised (ACE-R) and the Beck Depression index (BDI) and performed another MRI. Non-attenders were assessed by telephone or post. We defined cognitive impairment as ACE-R of <88, and depression as a BDI of >9. Results: Almost one third (75/264) (median NIHSS=2) of patients had a no relevant lesion on MRI DWI. There was no difference in age, sex, symptoms, or risk factors in patients with and without a lesion, 197 had MRI at 1 year (all had clinical follow-up). Of 75 with no lesion, 41% were mRs ≥2, 13% had recurrent stroke or TIA, 36% were cognitively impaired and 46% had depression. This was not significantly different from the patients with a lesion. Of the 197 who had a follow-up MRI 50 patients with no initial lesion had follow-up MRI and one had a new lesion, (versus 20/147 patients with a lesion) (p=0.016). Conclusions: Patients with a clinical stroke and no other obvious cause for their symptoms are clinically indistinguishable from patients with the same NIHSS who have a lesion on DWI-MRI, in terms of recurrence, disability, or cognitive impairment. Suggesting that these patients have had a stroke that does not appear on MRI. The presence of an initial lesion increases the liklihood of a lesion on 1 year MRI, however without a difference in clinical stroke this is of doubtful significance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".