Treatment classifications and interventions for neck pain: a scoping review

Objectives

Our aim is to provide an overview of how neck pain is classified in the literature, define and group conservative interventions into ‘nodes’, and develop draft networks of interventions in preparation for a network meta-analysis (NMA).

Study Design and Settings

We performed a scoping review. For feasibility reasons, we searched for randomized clinical trials (RCTs) via neck pain clinical practice guidelines (CPGs) published from 2014. We used standardized data extraction forms to extract data about classification of neck pain and interventions evaluated in the included RCTs. We calculated frequencies of neck pain classifications and grouped interventions into nodes based on the definitions used in Cochrane reviews. Draft network graphs comparing interventions were constructed using the online Shiny R application CINEMA.

Results

We included 242 RCTs from seven CPGs, evaluating 28,581 patients. We found three different classification systems of which The Neck Pain Task Force classification was used most often. We defined and grouped all interventions into 19 discrete potential nodes.

Conclusion

We found a wide variation in neck pain classifications and conservative interventions. Grouping the interventions was challenging and needs further evaluation before conducting a final NMA.