SYSTEMATIC REVIEW OF THE RISK OF MOTOR VEHICLE COLLISION AFTER STROKE OR TRANSIENT ISCHEMIC ATTACK
Bibliographic record
Abstract
Stroke can impair the motor and cognitive skills required to drive safely. The purpose of the present study was to determine whether stroke and/or transient ischemic attack (TIA) are associated with an increased MVC risk. We searched MEDLINE, CINAHL, EMBASE, PsychINFO and TRID through December 2016. Results: From the 5,605 citations identified, 12 articles met our inclusion criteria. Only one of three case-control studies showed an increased risk of stroke in persons with at-fault MVC (OR 1.9, 95% CI 1.0–3.9). Of five cohort reports, only one study, limited to self-report, found an increased risk of MVC associated with stroke or TIA (RR 2.71, 95% CI 1.11–6.61). Discussion: The decline in driving skills following stroke identified in prior reviews does not appear to translate into a robust increase in risk of MVCs. However, there is a paucity of high quality studies of the impact of stroke on driving.
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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 | 0.009 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.007 |
| Bibliometrics | 0.013 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".