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A systematic review on the performance of fracture risk assessment tools: FRAX, DeFRA, FRA-HS.
Adami, G; Biffi, A; Porcu, G; Ronco, R; Alvaro, R; Bogini, R; Caputi, A P; Cianferotti, L; Frediani, B; Gatti, D; Gonnelli, S; Iolascon, G; Lenzi, A; Leone, S; Migliaccio, S; Nicoletti, T; Paoletta, M; Pennini, A; Piccirilli, E; Tarantino, U; Brandi, M L; Corrao, G; Rossini, M; Michieli, R.
Afiliação
  • Adami G; Rheumatology Unit, University of Verona, Verona, Italy.
  • Biffi A; Department of Statistics and Quantitative Methods, National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.
  • Porcu G; Unit of Biostatistics, Epidemiology, and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
  • Ronco R; Department of Statistics and Quantitative Methods, National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.
  • Alvaro R; Unit of Biostatistics, Epidemiology, and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
  • Bogini R; Department of Statistics and Quantitative Methods, National Centre for Healthcare Research and Pharmacoepidemiology, University of Milano-Bicocca, Milan, Italy.
  • Caputi AP; Unit of Biostatistics, Epidemiology, and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
  • Cianferotti L; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
  • Frediani B; Local Health Unit (USL) Umbria, Perugia, Italy.
  • Gatti D; Department of Pharmacology, School of Medicine, University of Messina, Messina, Italy.
  • Gonnelli S; Italian Bone Disease Research Foundation (FIRMO), Florence, Italy.
  • Iolascon G; Department of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Azienda Ospedaliero-Universitaria Senese, Siena, Italy.
  • Lenzi A; Rheumatology Unit, University of Verona, Verona, Italy. davide.gatti@univr.it.
  • Leone S; Department of Medicine, Surgery and Neuroscience, Policlinico Le Scotte, University of Siena, Siena, Italy.
  • Migliaccio S; Department of Medical and Surgical Specialties and Dentistry, University of Campania "Luigi Vanvitelli", Naples, Italy.
  • Nicoletti T; Department of Experimental Medicine, Sapienza University of Rome, Viale del Policlinico, Rome, Italy.
  • Paoletta M; AMICI Onlus, Associazione Nazionale per le Malattie Infiammatorie Croniche dell'Intestino, Milan, Italy.
  • Pennini A; Department of Movement, Human and Health Sciences, Foro Italico University, Rome, Italy.
  • Piccirilli E; Coordinamento Nazionale delle Associazioni dei Malati Cronici e rari di Cittadinanzattiva, CnAMC, Rome, Italy.
  • Tarantino U; Department of Medical and Surgical Specialties and Dentistry, University of Campania "Luigi Vanvitelli", Naples, Italy.
  • Brandi ML; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
  • Corrao G; Department of Clinical Sciences and Translational Medicine, University of Rome "Tor Vergata", Rome, Italy.
  • Rossini M; Department of Orthopedics and Traumatology, "Policlinico Tor Vergata" Foundation, Rome, Italy.
  • Michieli R; Department of Clinical Sciences and Translational Medicine, University of Rome "Tor Vergata", Rome, Italy.
J Endocrinol Invest ; 46(11): 2287-2297, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37031450
PURPOSE: Preventing fragility fractures by treating osteoporosis may reduce disability and mortality worldwide. Algorithms combining clinical risk factors with bone mineral density have been developed to better estimate fracture risk and possible treatment thresholds. This systematic review supported panel members of the Italian Fragility Fracture Guidelines in recommending the use of best-performant tool. The clinical performance of the three most used fracture risk assessment tools (DeFRA, FRAX, and FRA-HS) was assessed in at-risk patients. METHODS: PubMed, Embase, and Cochrane Library were searched till December 2020 for studies investigating risk assessment tools for predicting major osteoporotic or hip fractures in patients with osteoporosis or fragility fractures. Sensitivity (Sn), specificity (Sp), and areas under the curve (AUCs) were evaluated for all tools at different thresholds. Quality assessment was performed using the Quality Assessment of Diagnostic Accuracy Studies-2; certainty of evidence (CoE) was evaluated using the Grading of Recommendations Assessment, Development and Evaluation approach. RESULTS: Forty-three articles were considered (40, 1, and 2 for FRAX, FRA-HS, and DeFRA, respectively), with the CoE ranging from very low to high quality. A reduction of Sn and increase of Sp for major osteoporotic fractures were observed among women and the entire population with cut-off augmentation. No significant differences were found on comparing FRAX to DeFRA in women (AUC 59-88% vs. 74%) and diabetics (AUC 73% vs. 89%). FRAX demonstrated non-significantly better discriminatory power than FRA-HS among men. CONCLUSION: The task force formulated appropriate recommendations on the use of any fracture risk assessment tools in patients with or at risk of fragility fractures, since no statistically significant differences emerged across different prediction tools.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Osteoporose / Fraturas por Osteoporose Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Osteoporose / Fraturas por Osteoporose Idioma: En Ano de publicação: 2023 Tipo de documento: Article