Return to work after young stroke: A systematic review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background The incidence of stroke in young adults is increasing. While many young survivors are able to achieve a good physical recovery, subtle dysfunction in other domains, such as cognition, often persists, and could affect return to work. However, reported estimates of return to work and factors affecting vocational outcome post-stroke vary greatly. Aims The aims of this systematic review were to determine the frequency of return to work at different time points after stroke and identify predictors of return to work. Summary of review Two electronic databases (Medline and Embase) were systematically searched for articles according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A total of 6473 records were screened, 68 were assessed for eligibility, and 29 met all inclusion criteria (working-age adults with stroke, return to work evaluated as an outcome, follow-up duration reported, and publication within the past 20 years). Return to work increased with time, with median frequency increasing from 41% between 0 and 6 months, 53% at 1 year, 56% at 1.5 years to 66% between 2 and 4 years post-stroke. Greater independence in activities of daily living, fewer neurological deficits, and better cognitive ability were the most common predictors of return to work. Conclusion This review highlights the need to examine return to work in relation to time from stroke and assess cognition in working age and young stroke survivors. The full range of factors affecting return to work has not yet been explored and further evaluations of return to work interventions are warranted.
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.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it