ArticleArchives of rehabilitation research and clinical translation2022
Development and Validation of a Nomogram to Predict Hemiplegic Shoulder Pain in Patients With Stroke: A Retrospective Cohort Study.
Article in Archives of rehabilitation research and clinical translation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Investigation into the Effectiveness of Combining Transcranial Direct Current Stimulation and Transcutaneous Electrical Nerve Stimulation as Treatment Options for Poststroke Shoulder Pain by Utilizing Functional Near-Infrared Spectroscopy.Therapeutics and clinical risk management · 2023Trial
- Development and validation of a nomogram for early prediction of post-stroke shoulder-hand syndrome: a retrospective cohort study.Frontiers in neuroscience · 2026Article
- Reliability and utility of ultrasound imaging assessment methods for shoulder subluxation in patients with stroke.Journal of physical therapy science · 2025Article
- The relationship between the ratio of the supraspinatus muscle thickness measured by ultrasound imaging and glenohumeral subluxation in stroke patients: a cross-sectional study.Frontiers in neurology · 2024Article
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The development and validation of a nomogram for the individualized prediction of hemiplegic shoulder pain (HSP) during the inpatient rehabilitation of patients with stroke. Design: Retrospective cohort study. Setting: The rehabilitation department at a tertiary hospital. Participants: A total of 376 patients (N=376) with stroke admitted to inpatient rehabilitation from January 2018 to April 2021 were included in this study. Interventions: Not applicable. Main Outcome Measures: The outcome measure was shoulder pain on the patients' hemiplegic side occurring at rest or with movement during hospitalization. Results: Among the 376 patients with stroke, 113 (30.05%) developed HSP. Five independent predictors were included in the nomogram: subluxation, Brunnstrom stage, hand edema, spasticity, and sensory disturbance. The nomogram was a good predictor, with a C-index of 0.85 (95% confidence interval, 0.81-0.89) and corrected C-index of 0.84. The Homer-Lemeshow test (χ Conclusions: Our nomogram could accurately predict HSP, which may help clinicians accurately quantify the HSP risk in individuals and implement early interventions.
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