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Investigating the True Effect of Psychological Variables Measured Prior to Arthroplastic Surgery on Postsurgical Outcomes: A P-Curve Analysis

Published:October 20, 2020DOI:https://doi.org/10.1016/j.jpain.2020.07.005

      Highlights

      • This review examined psychological predictors of surgery outcomes.
      • Depression predicted postsurgical pain intensity and function.
      • Anxiety predicted postsurgical pain intensity and function.
      • Pain catastrophizing predicted postsurgical pain intensity.
      • Optimism did not clearly predict outcomes.

      Abstract

      Patients’ presurgical psychological profiles have been posited to predict pain and function following arthroplastic surgery of the hip and knee. Nevertheless, findings are conflicting, and this may be rooted in biased reporting that makes the determination of evidential value difficult. This ambiguity may have negative consequences for researchers and governmental agencies, as these rely on findings to accurately reflect reality. P-Curve analyses were used to establish the presence of evidential value and selective reporting in a sample of studies examining the effect of presurgical psychological predictors on outcomes following knee and hip arthroplastic surgery. A systematic search of the literature revealed 26 relevant studies. The examined sets of studies indicate that there is evidential value for the effect of depression on pain intensity and function, anxiety on pain intensity and function, pain catastrophizing on pain intensity, as well as the combined effects of all psychological predictors on pain intensity and function. The presence of evidential value was inconclusive for the effect of optimism on pain intensity. There were no signs that any results were influenced by biased reporting. The results highlight the importance of patients’ psychological profiles in predicting surgical outcomes, which represent a promising avenue for future treatment approaches.

      Perspective

      The effects of P-hacking are difficult to detect and might be at the root of conflicting findings pertaining to the predictive properties of presurgical psychological variables on postsurgical outcomes. P-Curve analysis allows the determination of evidential value underlying these relationships and detection of P-hacking to ensure that findings are not the result of selective reporting.

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