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Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial

BACKGROUND: In many countries, gastric cancer is not diagnosed until an advanced stage. An Internet-based e-learning system to improve the ability of endoscopists to diagnose gastric cancer at an early stage was developed and was evaluated for its effectiveness. METHODS: The study was designed as a...

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Autores principales: Yao, K., Uedo, N., Muto, M., Ishikawa, H., Cardona, H.J., Filho, E.C. Castro, Pittayanon, R., Olano, C., Yao, F., Parra-Blanco, A., Ho, S.H., Avendano, A.G., Piscoya, A., Fedorov, E., Bialek, A.P., Mitrakov, A., Caro, L., Gonen, C., Dolwani, S., Farca, A., Cuaresma, L.F., Bonilla, J.J., Kasetsermwiriya, W., Ragunath, K., Kim, S.E., Marini, M., Li, H., Cimmino, D.G., Piskorz, M.M., Iacopini, F., So, J.B., Yamazaki, K., Kim, G.H., Ang, T.L., Milhomem-Cardoso, D.M., Waldbaum, C.A., Carvajal, W.A. Piedra, Hayward, C.M., Singh, R., Banerjee, R., Anagnostopoulos, G.K., Takahashi, Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972485/
https://www.ncbi.nlm.nih.gov/pubmed/27333048
http://dx.doi.org/10.1016/j.ebiom.2016.05.016
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author Yao, K.
Uedo, N.
Muto, M.
Ishikawa, H.
Cardona, H.J.
Filho, E.C. Castro
Pittayanon, R.
Olano, C.
Yao, F.
Parra-Blanco, A.
Ho, S.H.
Avendano, A.G.
Piscoya, A.
Fedorov, E.
Bialek, A.P.
Mitrakov, A.
Caro, L.
Gonen, C.
Dolwani, S.
Farca, A.
Cuaresma, L.F.
Bonilla, J.J.
Kasetsermwiriya, W.
Ragunath, K.
Kim, S.E.
Marini, M.
Li, H.
Cimmino, D.G.
Piskorz, M.M.
Iacopini, F.
So, J.B.
Yamazaki, K.
Kim, G.H.
Ang, T.L.
Milhomem-Cardoso, D.M.
Waldbaum, C.A.
Carvajal, W.A. Piedra
Hayward, C.M.
Singh, R.
Banerjee, R.
Anagnostopoulos, G.K.
Takahashi, Y.
author_facet Yao, K.
Uedo, N.
Muto, M.
Ishikawa, H.
Cardona, H.J.
Filho, E.C. Castro
Pittayanon, R.
Olano, C.
Yao, F.
Parra-Blanco, A.
Ho, S.H.
Avendano, A.G.
Piscoya, A.
Fedorov, E.
Bialek, A.P.
Mitrakov, A.
Caro, L.
Gonen, C.
Dolwani, S.
Farca, A.
Cuaresma, L.F.
Bonilla, J.J.
Kasetsermwiriya, W.
Ragunath, K.
Kim, S.E.
Marini, M.
Li, H.
Cimmino, D.G.
Piskorz, M.M.
Iacopini, F.
So, J.B.
Yamazaki, K.
Kim, G.H.
Ang, T.L.
Milhomem-Cardoso, D.M.
Waldbaum, C.A.
Carvajal, W.A. Piedra
Hayward, C.M.
Singh, R.
Banerjee, R.
Anagnostopoulos, G.K.
Takahashi, Y.
author_sort Yao, K.
collection PubMed
description BACKGROUND: In many countries, gastric cancer is not diagnosed until an advanced stage. An Internet-based e-learning system to improve the ability of endoscopists to diagnose gastric cancer at an early stage was developed and was evaluated for its effectiveness. METHODS: The study was designed as a randomized controlled trial. After receiving a pre-test, participants were randomly allocated to either an e-learning or non-e-learning group. Only those in the e-learning group gained access to the e-learning system. Two months after the pre-test, both groups received a post-test. The primary endpoint was the difference between the two groups regarding the rate of improvement of their test results. FINDINGS: 515 endoscopists from 35 countries were assessed for eligibility, and 332 were enrolled in the study, with 166 allocated to each group. Of these, 151 participants in the e-learning group and 144 in the non-e-learning group were included in the analysis. The mean improvement rate (standard deviation) in the e-learning and non-e-learning groups was 1·24 (0·26) and 1·00 (0·16), respectively (P < 0·001). INTERPRETATION: This global study clearly demonstrated the efficacy of an e-learning system to expand knowledge and provide invaluable experience regarding the endoscopic detection of early gastric cancer (R000012039).
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spelling pubmed-49724852016-08-10 Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial Yao, K. Uedo, N. Muto, M. Ishikawa, H. Cardona, H.J. Filho, E.C. Castro Pittayanon, R. Olano, C. Yao, F. Parra-Blanco, A. Ho, S.H. Avendano, A.G. Piscoya, A. Fedorov, E. Bialek, A.P. Mitrakov, A. Caro, L. Gonen, C. Dolwani, S. Farca, A. Cuaresma, L.F. Bonilla, J.J. Kasetsermwiriya, W. Ragunath, K. Kim, S.E. Marini, M. Li, H. Cimmino, D.G. Piskorz, M.M. Iacopini, F. So, J.B. Yamazaki, K. Kim, G.H. Ang, T.L. Milhomem-Cardoso, D.M. Waldbaum, C.A. Carvajal, W.A. Piedra Hayward, C.M. Singh, R. Banerjee, R. Anagnostopoulos, G.K. Takahashi, Y. EBioMedicine Research Paper BACKGROUND: In many countries, gastric cancer is not diagnosed until an advanced stage. An Internet-based e-learning system to improve the ability of endoscopists to diagnose gastric cancer at an early stage was developed and was evaluated for its effectiveness. METHODS: The study was designed as a randomized controlled trial. After receiving a pre-test, participants were randomly allocated to either an e-learning or non-e-learning group. Only those in the e-learning group gained access to the e-learning system. Two months after the pre-test, both groups received a post-test. The primary endpoint was the difference between the two groups regarding the rate of improvement of their test results. FINDINGS: 515 endoscopists from 35 countries were assessed for eligibility, and 332 were enrolled in the study, with 166 allocated to each group. Of these, 151 participants in the e-learning group and 144 in the non-e-learning group were included in the analysis. The mean improvement rate (standard deviation) in the e-learning and non-e-learning groups was 1·24 (0·26) and 1·00 (0·16), respectively (P < 0·001). INTERPRETATION: This global study clearly demonstrated the efficacy of an e-learning system to expand knowledge and provide invaluable experience regarding the endoscopic detection of early gastric cancer (R000012039). Elsevier 2016-05-17 /pmc/articles/PMC4972485/ /pubmed/27333048 http://dx.doi.org/10.1016/j.ebiom.2016.05.016 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Yao, K.
Uedo, N.
Muto, M.
Ishikawa, H.
Cardona, H.J.
Filho, E.C. Castro
Pittayanon, R.
Olano, C.
Yao, F.
Parra-Blanco, A.
Ho, S.H.
Avendano, A.G.
Piscoya, A.
Fedorov, E.
Bialek, A.P.
Mitrakov, A.
Caro, L.
Gonen, C.
Dolwani, S.
Farca, A.
Cuaresma, L.F.
Bonilla, J.J.
Kasetsermwiriya, W.
Ragunath, K.
Kim, S.E.
Marini, M.
Li, H.
Cimmino, D.G.
Piskorz, M.M.
Iacopini, F.
So, J.B.
Yamazaki, K.
Kim, G.H.
Ang, T.L.
Milhomem-Cardoso, D.M.
Waldbaum, C.A.
Carvajal, W.A. Piedra
Hayward, C.M.
Singh, R.
Banerjee, R.
Anagnostopoulos, G.K.
Takahashi, Y.
Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial
title Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial
title_full Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial
title_fullStr Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial
title_full_unstemmed Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial
title_short Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial
title_sort development of an e-learning system for the endoscopic diagnosis of early gastric cancer: an international multicenter randomized controlled trial
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972485/
https://www.ncbi.nlm.nih.gov/pubmed/27333048
http://dx.doi.org/10.1016/j.ebiom.2016.05.016
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