ArticleeLife2022
Arguments for the biological and predictive relevance of the proportional recovery rule.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Motor rehabilitation after stroke: European Stroke Organisation (ESO) consensus-based definition and guiding framework.European stroke journal · 2023Guideline
- Enhancing spontaneous recovery after stroke: a randomized controlled trial.Brain communications · 2026Trial
- Efficacy of interactive manual dexterity training after stroke: a pilot single-blinded randomized controlled trial.Journal of neuroengineering and rehabilitation · 2023Trial
- Benefits and Importance of Early Rehabilitation in Patients After Stroke.Journal of functional morphology and kinesiology · 2026Review
- Detection of physiological changes in knee cartilage using parametric T2 relaxation maps estimated with a dictionary method.European journal of applied physiology · 2026Article
- A multimodal machine learning approach to forecast upper limb motor recovery after stroke using kinematic and electromyographic data - A pilot-study.Journal of neuroengineering and rehabilitation · 2026Article
- Article
- Neurotechnology-Based, Intensive, Supplementary Upper-Extremity Training for Inpatients With Subacute Stroke: Feasibility Study.JMIR serious games · 2025Article
- External Validation of a Dynamic Prediction Model for Upper Limb Function After Stroke.Archives of rehabilitation research and clinical translation · 2024Article
- Moving toward elucidating alternative motor pathway structures post-stroke: the value of spinal cord neuroimaging.Frontiers in neurology · 2024Review
- Proportional Recovery After Stroke: Addressing Concerns Regarding Mathematical Coupling and Ceiling Effects.Neurorehabilitation and neural repair · 2023Review
- Segmental motor recovery after cervical spinal cord injury relates to density and integrity of corticospinal tract projections.Nature communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The proportional recovery rule (PRR) posits that most stroke survivors can expect to reduce a fixed proportion of their motor impairment. As a statistical model, the PRR explicitly relates change scores to baseline values - an approach that arises in many scientific domains but has the potential to introduce artifacts and flawed conclusions. We describe approaches that can assess associations between baseline and changes from baseline while avoiding artifacts due either to mathematical coupling or to regression to the mean. We also describe methods that can compare different biological models of recovery. Across several real datasets in stroke recovery, we find evidence for non-artifactual associations between baseline and change, and support for the PRR compared to alternative models. We also introduce a statistical perspective that can be used to assess future models. We conclude that the PRR remains a biologically relevant model of stroke recovery.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.