Protocolización de estudios clínicos multicéntricos en la era digital. ¿Tiene utilidad la centralización de datos por un data-manager?

Abstract

IntroductionIn multicenter studies, the protocolization of data is a critical phase that can generate biases. The objective is to analyze the concordance and reliability of the data obtained in a clinical multicenter study between the protocolization in the center of origin and the centralized protocolization of the data by a data-manager. MethodsNational multicenter clinical study about an infrequent carcinoma. A double protocolization of the data is carried out: (i)center of origin; and (ii)centralized by a data manager. The concordance between the data is analyzed for the global data and for the two groups of the project: (i)study group (familiar carcinoma, 30 researchers protocolize); (ii)control group (sporadic carcinoma, 4 people protocolize). Interobserver variability is evaluated using Cohen's kappa coefficient. ResultsThe study includes a total of 689 patients with carcinoma: 252 in the study group and 437 in the control group. Regarding the concordance analysis of the tumor stage, 2.5% of disagreements were observed and the concordance between people who protocolize was near perfect (Kappa=0.931). Regarding the evaluation of the recurrence risk, disagreements occurred in 7% of the cases and the concordance was near perfect (Kappa=0.819). Regarding the sonography evaluation (TIRADS), the disagreements were 6.9% and the concordance was near perfect (Kappa=0.922). Also, 4.6% of transcription errors were detected. ConclusionsIn multicenter clinical studies, the centralized data protocolization by a data-manager seems to present similar results to the direct protocolization in the database in the center of origin.