The lingering effects of a busted myth — false time limits in stroke rehabilitation
Bibliographic record
Abstract
It was once falsely believed that neurological and functional recovery after stroke occurred only in the first 6 months after lesion. The perception of this "6-month myth" continues to negatively impact the attitudes of patients towards their rehabilitation and on the clinicians and therapists making optimal training plans. Here we briefly outline some evidence that debunked the 6-month myth, where the concept of this temporal limit may have originated, and the lingering misunderstanding that individuals with stroke reach a plateau of recovery after 6 months even with rehabilitation training. We present evidence that significant functional improvement can occur years after stroke when rehabilitation training is applied. We frame the concepts of active and passive neurological recovery and that active neurological recovery continues far beyond any temporal limit. Because the effects of this busted 6-month myth persist, we aim to remind active physicians, therapists, exercise professionals, and those with stroke to continuously seek opportunities for active rehabilitation training. Meanwhile, trained and certified exercise professionals can play critical roles in facilitating rehabilitative training for community-dwelling stroke survivors.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".