Can Clinicians Predict Which Patients Respond Best to a Specific Treatment? A Systematic Review of Low Back Pain Moderators in Primary Care.
Tayla Douglas, Hazel Jenkins, Leticia Amaral Corrêa et al.
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In 30 seconds
This systematic review synthesized randomized trials and secondary analyses examining whether patient characteristics modify responses to primary care interventions for nonspecific low back pain. It identified 73 studies, but investigations were highly heterogeneous and rarely repeated the same intervention–moderator combination, preventing meta-analysis. Although trial quality was generally high, the quality of moderation analyses was poor; ten higher-quality analyses found no clearly important moderators. Findings overall were inconclusive, though fair-quality analyses suggested graded exposure might be more effective for people with high catastrophizing.
Key findings
- Of 73 studies, six (8% of 73) made effect moderation their primary aim.
- Ten higher-quality analyses identified no clearly important treatment moderators.
- Findings were inconclusive because of high uncertainty and conflicting results.
- Fair-quality analyses suggested graded exposure may be more effective for people with high catastrophizing.
Why it matters
Matching low back pain treatments to patient characteristics could support more tailored care, but this review found that the evidence is not yet dependable enough to guide such decisions. The scarcity of planned, theory-driven moderator analyses and the inconsistent findings highlight the need for stronger research before apparent treatment-response patterns are treated as clinically useful.
What to keep in mind
The studies were highly heterogeneous, precluding meta-analysis, and moderation-analysis quality was poor. Uncertainty and conflicting findings limited interpretation.