PTOTSLPOtherNeurorehabilitation and neural repair2026

Temporal External Validation of the TWIST Prediction Tool for Time to Independent Walking after Stroke.

Marie-Claire Smith, Benjamin J Scrivener, Cathy M Stinear

PMID 41668670

WHAT IT FOUND

The TWIST tool accurately predicts time to independent walking after stroke but was too optimistic for some scores.

Refinements made it more conservative for those with a score of 3. Use the updated interpretation to avoid over-promising recovery timelines.

Key findings

01The TWIST tool showed good to excellent discrimination for predicting independent walking across all timepoints, with C-statistics ranging from 0.81 to 0.91.

02Predictions were too optimistic for participants with a TWIST score of 3 at all timepoints, leading to a refined, more conservative clinical interpretation.

03The refined tool maintains good calibration for predictions at 4, 6, and 9 weeks post-stroke for all scores.

STILL TO COME

How it was doneWhat they foundWhat it means for PTsWhat it means for OTsWhat it means for SLPs

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What it does not show

The validation cohort was recruited from the same hospital as part of the development cohort, limiting generalizability to different clinical settings. The sample size was modest (89 participants), and there were very few participants with the lowest TWIST score (n=3 with score 0). Patients with severe stroke were underrepresented due to exclusion criteria related to medical instability or communication/cognitive barriers. The tool has not been tested for its impact on clinical decision-making or patient outcomes.

Declared interests

The authors declared no potential conflicts of interest.

The easy way to misread this

Do not use the original TWIST interpretation for patients with a score of 3. The study found the original tool was too optimistic for this group, predicting faster recovery than actually occurred. Use the refined, more conservative probabilities.

Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →