A Clinical Prediction Rule for Classifying Patients with Low Back Pain Who Demonstrate Short-Term Improvement With Spinal Manipulation

By T. Flynn, J. Fritz, J. Whitman, R. Wainner, Jake Magel, Daniel G Rendeiro, Barbara Butler, Matthew B. Garber, S. Allison. Spine, 2002

666 citations recorded by the source corpus.

Subfields: Pathology and Forensic Medicine, Pharmacology, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/ea609eea1cda454a2a70dfd819988622ee585f6c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Pathology and Forensic Medicine

1. J. Fritz
2. John D. Childs

In Pharmacology

1. John D. Childs
2. J. Fritz

Citations in the corpus

• A Clinical Prediction Rule To Identify Patients with Low Back Pain Most Likely To Benefit from Spinal Manipulation: A Validation Study (2004, methodology): “As seen in the development study (17), in our study a threshold of at least 4 of 5 criteria maximized the positive likelihood ratio for predicting rapid success with manipulation.”
• The Mechanisms of Manual Therapy in the Treatment of Musculoskeletal Pain: A Comprehensive Model (2008, neutral): “Subsequently, clinical prediction rules based on clusters of signs and symptoms have been proposed to identify responders to MT (Flynn et al., 2002; Cleland et al., 2007).”