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bibliography * The PainScience Bibliography contains plain language summaries of thousands of scientific papers and others sources, like a specialized blog. This page is about a single scientific paper in the bibliography, Haig 2006.

Back pain not cause by a narrowed spinal canal alone

updated
Haig AJ, Tong HC, Yamakawa KS, Quint DJ, Hoff JT, Chiodo A, Miner JA, Choksi VR, Geisser ME, Parres CM. Spinal stenosis, back pain, or no symptoms at all? A masked study comparing radiologic and electrodiagnostic diagnoses to the clinical impression. Archives of Physical Medicine & Rehabilitation. 2006 Jul;87(7):897–903. PubMed #16813774.
Tags: back pain, imaging, surgery, counter-intuitive, biomechanics, pain problems, spine, diagnosis, treatment, etiology, pro

PainSci summary of Haig 2006?This page is one of thousands in the PainScience.com bibliography. It is not a general article: it is focussed on a single scientific paper, and it may provide only just enough context for the summary to make sense. Links to other papers and more general information are provided at the bottom of the page, as often as possible. ★★★★★?5-star ratings are for sentinel studies, excellent experiments with meaningful results. Ratings are a highly subjective opinion, and subject to revision at any time. If you think this paper has been incorrectly rated, please let me know.

In this study, about 150 people were assessed for back pain in different ways, including MRI, but “radiologic and clinical impression had no relation.” In other words, there was no useful similarity between evaluation of the patient with MRI, and evaluation by examination and taking a history. “The impression obtained from an MRI scan does not determine whether lumbar stenosis is a cause of pain.” Since MRI does in fact identify narrowing of the spinal canal, and this is the whole basis of diagnosing spinal stenosis with MRI, these results also strongly imply that a narrowed spinal canal does not (alone) cause back pain.

~ Paul Ingraham

original abstract

OBJECTIVE: To assess the relations between clinically recognized lumbar spinal stenosis and the conclusions of masked radiologists and electrodiagnosticians.

DESIGN: Prospective, masked, double-controlled trial.

SETTING: University spine center.

PARTICIPANTS: One hundred fifty persons age 55 to 80 years with or without back pain and with or without magnetic resonance imaging (MRI)-demonstrated stenosis, screened for neuropathy risk, previous surgery, or cancer.

INTERVENTIONS: Questionnaires on pain and function; ambulation testing and physical examination; and masked electrodiagnotics and MRI.

MAIN OUTCOME MEASURE: Diagnostic impressions of the examining clinician, radiologist, and electrodiagnostician.

RESULTS: Following application of post hoc exclusion criteria and elimination of patients due to incomplete or inadequate test data, the clinical diagnosis was lumbar stenosis in 50 subjects, back pain in 44 subjects, and no pain in 32 subjects. Radiologic and clinical impression had no relation (P = .80 vs asymptomatic, P = .99 vs back pain controls). Electrodiagnostic impression trended to relate to clinical impression (P = .14 vs asymptomatic, P = .09 vs back pain). Retrospective application of age-related electrodiagnostic norms for paraspinal electromyographic and limb motor unit changes, established in this study, reclassified 13 of the 17 asymptomatic persons whom the electrodiagnostician thought had stenosis. The clinical impression did correspond to history and physical examination findings typically associated with spinal stenosis and to the independent impression of a neurosurgeon who examined MRI and clinical, but not to the electrodiagnostic data.

CONCLUSIONS: The impression obtained from an MRI scan does not determine whether lumbar stenosis is a cause of pain. Electrodiagnostic consultation may be useful, especially if age-related norms obtained in this study are applied.

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These three articles on PainScience.com cite Haig 2006 as a source:


This page is part of the PainScience BIBLIOGRAPHY, which contains plain language summaries of thousands of scientific papers & others sources. It’s like a highly specialized blog.