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Review: several diagnostic aids have moderate to high accuracy for detecting abnormalities in acute knee pain
  1. Ken Trinh, MD, BSc, MSc, PhD (Can)
  1. McMaster University
 Hamilton, Ontario, Canada

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 Q What is the accuracy of clinical decision rules (CDR), physical examination (PE), and imaging procedures (eg, magnetic resonance imaging [MRI]) for detecting causes of acute knee pain?

    Clinical impact ratings GP/FP/Primary care ★★★★★☆☆ Emergency medicine ★★★★★☆☆

    METHODS

    Embedded ImageData sources:

    Medline (1966 to October 2002) and bibliographies of relevant articles.

    Embedded ImageStudy selection and analysis:

    peer reviewed studies that evaluated CDR for fractures of the knee, or compared PE and MRI with arthroscopy (reference standard) for detecting meniscal and ligamentous knee damage.

    Embedded ImageOutcomes:

    sensitivity and specificity, and negative and positive likelihood ratios.

    MAIN RESULTS

    (1) CDR for ruling out knee fractures. Of the 4 CDR evaluated (1 study each), the Ottawa knee rules had the most thorough validation (sensitivity 100%, 95% CI 94 to 100; specificity 49%, CI 46 to 52) for detecting knee fractures. (2) PE and MRI for detecting knee cartilage and ligament injuries. 35 and 89 studies that evaluated PE and MRI, respectively, met the selection criteria. The table shows the results. (3) Osteoarthritis as a differential diagnosis in acute knee pain. The presence of ⩾4 of 6 American College of Rheumatology clinical criteria (age >50 y, stiffness for < 30 minutes, crepitus, bony tenderness, bony enlargement, and no palpable warmth) for detecting osteoarthritis had a sensitivity of 84% and specificity 89%. Presence of osteophytes on plain radiographs plus ⩾1 of age >50 years, crepitus, or morning stiffness of ⩽30 minutes increased sensitivity to 91% with a specificity of 86%.

    Diagnostic characteristics of physical examination (PE) and magnetic resonance imaging (MRI) for detecting meniscal, ligamentous, and cartilage tears in acute knee pain*

    CONCLUSIONS

    In patients with acute knee pain, the Ottawa knee rules have 100% sensitivity but low specificity for detecting fractures of the knee; physical examination and magnetic resonance imaging have moderate to high sensitivity and specificity for detecting meniscal or ligamentous injuries; and clinical criteria have moderate to high sensitivity and specificity for detecting osteoarthritis.

    Commentary

    The review by Jackson et al emphasizes the importance of using CDR, PE, and clinical criteria to arrive at a diagnosis for causes of acute knee pain without relying on diagnostic tests such as x rays or MRI.

    Summary values of sensitivity were estimated from fitted receiver operating characteristics (ROC) curves corresponding to the median specificity of the observed data. This method does not rely on tests of heterogeneity and clearly has advantages over weighting the sensitivity and specificity of each study when evidence of heterogeneity exists. Furthermore, the authors appear to have reviewed a large selection of studies.

    However, the methodology of this review has some limitations. Firstly, only a single database (Medline) was used as the data source. Secondly, despite the advantages of using fitted ROC curves, the original studies may have been too heterogenous in terms of the “cut off” points for positive results or the type of outcomes they used (eg, range of sensitivity 26–93% and specificity 22–100% for PE); making any attempt at quantitative synthesis of the data seem unreasonable. Thirdly, a weakness inherent to all original studies that evaluated PE was partial blinding (arthroscopy—the gold standard was done by orthopaedists who knew results of the PE).

    Using the Ottawa knee rule, physicians may decrease the use of x rays by 25% for acute knee injuries.1 Training family physicians to become better at PE of the knee may reduce the number of unnecessary imaging investigations ordered because the PE tests are quite accurate. Using clinical criteria is also an accurate tool in diagnosing osteoarthritis.

    References

    View Abstract

    Footnotes

    • For correspondence: Dr J L Jackson, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. jejacksonusuhs.mil

    • Source of funding: not stated.

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