Observational studyBMC musculoskeletal disorders2022
The association between different outcome measures and prognostic factors in patients with neck pain: a cohort study.
Observational study in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Efficacy of Fu's Subcutaneous Needling for chronic non-specific neck pain and its effect on muscle elasticity: a randomized controlled trial.Frontiers in medicine · 2025Trial
- Article
- Predictive Factors for Clinical Improvement Following a Manual Therapy-Based Program in Patients with Neck Pain: A Prescriptive Clinical Prediction Rule Derivation Study.Reports (MDPI) · 2026Article
- Clinical indicators for recommending continued care to patients with neck pain in chiropractic practice: a cohort study.Chiropractic & manual therapies · 2023Observational
- Exploring visual pain trajectories in neck pain patients, using clinical course, SMS-based patterns, and patient characteristics: a cohort study.Chiropractic & manual therapies · 2022Article
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5 authors.
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Abstract
backgroundHealth domains like pain, disability, and health-related quality of life are commonly used outcomes for musculoskeletal disorders. Most prognostic studies include only one outcome, and it is unknown if prognostic factors and models may be generic across different outcomes. The objectives of this study were to examine the correlation among commonly used outcomes for neck pain (pain intensity, disability, and health-related quality of life) and to explore how the predictive performance of a prognostic model differs across commonly used outcomes.
methodsWe conducted an observational prospective cohort study with data from patients with neck pain aged 18-84 years consulting Norwegian chiropractors. We used three different outcomes: pain intensity (Numeric Pain Rating Scale), the Neck Disability Index (NDI), and health-related quality of Life (EQ-5D). We assessed associations between change in outcome scores at 12-weeks follow-up with Pearson's correlation coefficient. We used multivariable linear regression models to explore differences in explained variance and relationship between predictors and outcomes.
resultsThe study sample included 1313 patients and 941 (72%) completed follow-up at 12 weeks. The strongest correlation was between NDI and EQ-5D (r = 0.57) while the weakest correlation was between EQ-5D and pain intensity (r = 0.39). The correlation between NDI and pain intensity was moderate (r = 0.53) In the final regression models, the explained variance ranged from adjusted R
conclusionsThe highest correlation was found between NDI and EQ-5D and the lowest with pain intensity. The same prognostic model showed highest predictive performance with NDI as outcome and poorest with pain intensity as outcome. These results suggest that we need more knowledge on the reasons for the differences in predictive performance variation across outcomes.
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