Abstract

Background: Unité Rhumatologique des Affections de la Main (URAM) is a novel and disease-specific questionnaire for Dupuytren contracture, a fibroproliferative disease that affects hands causing progressive contracture in flexion of the fingers.Objectives: To evaluate the sensitivity and specificity of the URAM scale in Dupuytren contracture.Materials and Methods: We performed meta-analyses of 10 articles published in PubMed, Embase, Cochrane, Google Scholar, Latin American and Caribbean Health Sciences Literature (LILACS), and in various grey literature databases that describe the use of the URAM and Tubiana scales to assess treatment outcomes in Dupuytren contracture. We built three models: a hierarchical summary receiver operating characteristic (HSROC) model to determine the optimal threshold for defining Dupuytren contracture, a difference in means model to assess the magnitude of the effect of different treatment modalities, and a meta-regression model to determine the effect on patient quality of life questionnaires such as the URAM, according to variations in Tubiana scores after treatment.Results: The HSROC and bivariate models showed a sensitivity of 80.23% (95% CI: 75.66 to 84.14) and an overall specificity of 2.61% (95% CI: 1.11 to 6.05). The second model showed an overall difference in means of 1.95 (95% CI: -2.86 to -1.04) for partial fasciectomy and collagenase Clostridium histolyticum (CCH) injections, and -1.30 (95% CI: -1.77 to -0.83) for partial fasciectomy, and -2.75 (95% CI: -4.73 to -0.78) for CCH. The coefficient obtained in the meta-regression model was -1.666 (95% CI: -4.183 to 0.851).Conclusion: The URAM scale is highly sensitive to changes in Dupuytren contracture but has low specificity. It also showed a strong correlation with worsening of finger contracture as measured by the Tubiana scale.

Highlights

  • BackgroundDupuytren contracture (DC) is a fibroproliferative disease of the palmar fascia that can affect one or both hands

  • We built three models: a hierarchical summary receiver operating characteristic (HSROC) model to determine the optimal threshold for defining Dupuytren contracture, a difference in means model to assess the magnitude of the effect of different treatment modalities, and a meta-regression model to determine the effect on patient quality of life questionnaires such as the Unité Rhumatologique des Affections de la Main (URAM), according to variations in Tubiana scores after treatment

  • The HSROC and bivariate models showed a sensitivity of 80.23% and an overall specificity of 2.61%

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Summary

Introduction

BackgroundDupuytren contracture (DC) is a fibroproliferative disease of the palmar fascia that can affect one or both hands. It causes progressive digital contracture that prevents patients from straightening their fingers, affecting hand function, the performance of basic activities of daily living, and quality of life [1]. Treatments include surgical procedures, such as fasciotomy, partial fasciectomy (FSC), dermofasciectomy, and minimally invasive procedures such as collagenase Clostridium histolyticum (CCH) injections, and needle aponeurotomy (NA) [2]. None of these treatments is curative and many patients develop recurrent disease and require repeat treatment [3]. Unité Rhumatologique des Affections de la Main (URAM) is a novel and disease-specific questionnaire for Dupuytren contracture, a fibroproliferative disease that affects hands causing progressive contracture in flexion of the fingers

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