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Spine

A SYSTEMATIC REVIEW OF EVIDENCE ON MALIGNANT SPINAL METASTATES: TECHNOLOGIES FOR IDENTIFYING PATIENTS AT HIGH RISK OF VERTEBRAL FRACTURE AND SPINAL CORD COMPRESSION

The Society for Back Pain Research (SBPR) Annual General Meeting: ‘Spotlight on sciatica’



Abstract

Study Purpose

To review systematically review literature on the early diagnosis of spinal metastases and prediction of spinal cord compression (SCC) due to spinal metastases

Methods and results

From 13 electronic bibliographic databases were searched we identified 2,425 potentially relevant articles of which 31 met the inclusion criteria. These were quality appraised. Seventeen studies reported retrospective data, 10 were prospective studies, and three were other study designs. There was one systematic review. There were no randomised controlled trials. There were approximately 7,900 participants in the included studies and 5,782 participants were analysed. The sample sizes ranged from 41 to 859. Cancers reported were: lung alone (n=3); prostate alone (n=6); breast alone (n=7); mixed cancers (n=13); and unclear (n=1). Ninety-three prognostic factors were identified as potentially significant in predicting risk of SCC or collapse. Many of the included studies provided limited information about patient population and selection criteria and they varied in methodological quality, rigour and transparency. Several studies with mixed case populations identified type of cancer (e.g. breast, lung or prostate cancer) as a significant factor in predicting SCC, but determining the risk differential is difficult because of residual bias in studies. Overall the quality of the research was poor. The only predictors identified for SCC were number of spinal metastases, duration of disease, total disease burden and immediate symptomatology of cord involvement.

Conclusion

It is disappointing that no factors other than duration, disease burden, and immediate symptomatology predict SCC. Early appropriate identification remains a clinical challenge.


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Conflicts of Interest: None

Funding. NIHR Health Technology Assessment Programme