This systematic review asked whether a patient’s characteristics at their first visit can predict how well they will respond to manual therapy for ordinary low back pain without leg symptoms, drawing on 19 studies covering 4,689 patients in total worldwide.
What was studied?
The review examined 172 baseline factors across the 19 studies, including education level, symptom duration, exam findings and psychological factors such as anxiety, then assessed the quality and consistency of the evidence linking these to outcomes.
What did they find?
Higher education, shorter symptom duration, lower starting pain and positive treatment expectations were linked to better outcomes; higher anxiety was linked to worse outcomes. Over 70% of included studies carried high risk of confounding bias.
Why it matters
It shows how much, or how little, current evidence can predict who will respond best to manual therapy, useful for setting realistic expectations rather than promising outcomes the evidence can't yet support.
Why we included it
It illustrates why individualised assessment matters more than a one-size-fits-all checklist, and why acknowledging the limits of predictive evidence is part of setting realistic expectations with patients.
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What was studied?
The review examined 172 baseline factors across the 19 studies, including education level, symptom duration, exam findings and psychological factors such as anxiety, then assessed the quality and consistency of the evidence linking these to outcomes.
What did they find?
Higher education, shorter symptom duration, lower starting pain and positive treatment expectations were linked to better outcomes; higher anxiety was linked to worse outcomes. Over 70% of included studies carried high risk of confounding bias.
Why it matters
It shows how much, or how little, current evidence can predict who will respond best to manual therapy, useful for setting realistic expectations rather than promising outcomes the evidence can't yet support.
Why we included it
It illustrates why individualised assessment matters more than a one-size-fits-all checklist, and why acknowledging the limits of predictive evidence is part of setting realistic expectations with patients.