Clinical Decision Rule for Spinal Pain: Literature Review
Author Information
Author(s): Donald R. Murphy, Eric L. Hurwitz, Craig F. Nelson
Primary Institution: Rhode Island Spine Center
Hypothesis
Can a diagnosis-based clinical decision rule improve the accuracy of diagnosing spinal pain?
Conclusion
The literature supports some aspects of the diagnosis-based clinical decision rule, particularly regarding centralization signs and psychological factors, but further research is needed in other areas.
Supporting Evidence
- 1769 articles were retrieved, with 138 deemed relevant.
- 51 studies related to reliability and 76 related to validity were identified.
- Some diagnostic signs, like centralization signs, showed good reliability.
Takeaway
This study looked at how to better diagnose back pain by asking specific questions and checking for certain signs, which can help doctors decide on the best treatment.
Methodology
The authors reviewed literature from databases like Medline and Embase to assess the reliability and validity of diagnostic procedures for spinal pain.
Limitations
The review is limited to studies in English and does not include diagnostic procedures requiring special equipment.
Statistical Information
P-Value
p<0.05
Digital Object Identifier (DOI)
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