Spanish scleroderma risk score (RESCLESCORE) to predict 15-year all-cause mortality in scleroderma patients at the time of diagnosis based on the RESCLE cohort: Derivation and internal validation
Manuel Rubio‐RivasXavier CorbellaAlfredo CastilloCarles Tolosa VilellaDolores Colunga ArgüellesAna ArgibayJosé Antonio Vargas‐HitosJosé Antonio ParraCristina González-EchávarriNorberto Ortego‐CentenoLuis Trapiella MartínezMónica Rodríguez‐CarballeiraAdela Marín BallvéXavier Pla SalasIsabel Perales FraileAntonio Javier Chamorro FernándezAna Belén Madroñero VueltaM. FreireManuel Ruiz-MuñózAndrés González GarcíaIsaac Pons Martín del CampoMaría Esther Sánchez GarcíaDavid BelloGerard EspinosaFrancisco José García HernándezLuis Sáez‐CometJuan José Ríos BlancoRafael Ángel Fernández de la Puebla GiménezSabela Sánchez TrigoVicent FonollosaCarmen Pilar Simeón‐Aznar
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Scleroderma (fungus)
Systemic scleroderma
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In a recent article, Everitt (1975) discussed several problems with multivariate techniques. However, two useful applications of multivariate techniques were not covered. The present paper describes the use of factor analysis to reduce a large array of outcome variables to a statistically manageable number, and multivariate analysis of variance to determine the relative effectiveness of several treatment regimes where a single outcome variable cannot be specified. It is concluded that the advantages of a multivariate approach out-weigh the disadvantages, provided the researcher is careful in interpreting and reporting his results.
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The data of instrumental studies in 43 patients with systemic scleroderma were compared to the clinical picture, which made it possible to specify the character and to reveal new regularities of heart lesions in patients with the above disease. The instrumental research methods, echo- and polycardiography in particular, allow an objective control of heart lesions in systemic scleroderma which should be specified in making the diagnosis and in the course of the follow-up of patients.
Systemic scleroderma
Scleroderma (fungus)
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Univariate methods are very helpful when utilized appropriately within the research analysis. However, there are many occasions in which only multivariate methods will satisfy an optimal assessment. In this case, multivariate methods will permit the researcher to incorporate many variables within a single research analysis. This work reviews the use of multivariate methods and how to apply them in clinical medicine.
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Multivariate measurement systems analysis is usually performed by designing suitable gauge R&R experiments ignoring available data generated by the measurement system while used for inspection or process control. This article proposes an approach that, using the data that are routinely available from the regular activity of the instrument, offers the possibility of assessing multivariate measurement systems without the necessity of performing a multivariate gauge study. It can be carried out more frequently than a multivariate gauge R&R experiment, since can be implemented at almost no additional cost. Therefore the synergic use of the proposed approach and the traditional multivariate gauge R&R studies can be a useful strategy for improving the overall quality of multivariate measurement systems and is effective for reducing the costs of a multivariate MSA performed with a certain frequency.
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Two cases of systemic scleroderma in girls are reported. One patient, aged 11 years, has systemic scleroderma with Raynaud's phenomenon, and pulmonary involvement. The other, aged 8 years, has systemic scleroderma with lung involvement. The specific features of pediatric systemic scleroderma are reviewed briefly.
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