Literature DB >> 18774225

Which subgroups of patients with non-specific neck pain are more likely to benefit from spinal manipulation therapy, physiotherapy, or usual care?

Jasper Mattijs Schellingerhout1, Arianne Petra Verhagen, Martinus Wilhelmus Heymans, Jan Jacobus Maria Pool, Frieke Vonk, Bart Willem Koes, Henrica Cornelia Wilhelmina de Vet.   

Abstract

The objective of this study is to identify subgroups of patients with non-specific neck pain who are more likely to benefit from either physiotherapy, spinal manipulation therapy, or usual care, on the short- and long-term. Data of three recently finished randomised controlled trials, with similar design and setting, were combined. The combined study population consisted of 329 patients with non-specific neck pain in an adult (18-70years) primary care population in the Netherlands. The primary outcome measure was global perceived recovery and was measured at the end of the treatment period and after 52 weeks of follow-up. Fourteen candidate variables were selected for the analysis. Predictors were identified by multivariable logistic regression analysis and were tested for interaction with treatment. Based on the multivariable models with interaction terms a decision model for treatment choice was developed. The analysis revealed three predictors for recovery of which the effect is modified by treatment: pain intensity (0-10 scale) in the short-term model, age and (no) accompanying low back pain in the long-term model. With these predictors a clinically relevant improvement in recovery rate (up to 25% improvement) can be established in patients receiving a tailored instead of a non-advised treatment. In conclusion we identified three characteristics that facilitate a deliberate treatment choice, to optimise benefit of treatment in patients with non-specific neck pain: age, pain intensity, and (no) accompanying low back pain.

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Year:  2008        PMID: 18774225     DOI: 10.1016/j.pain.2008.07.015

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


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