1. Defining Global Benchmarks for Laparoscopic Liver Resections: An International Multicenter Study
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Goh, B. K. P., Han, H. -S., Chen, K. -H., Chua, D. W., Chan, C. -Y., Cipriani, F., Aghayan, D. L., Fretland, A. A., Sijberden, J., D'Silva, M., Siow, T. F., Kato, Y., Lim, C., Nghia, P. P., Herman, P., Marino, M. V., Mazzaferro, V., Chiow, A. K. H., Sucandy, I., Ivanecz, A., Choi, S. H., Lee, J. H., Gastaca, M., Vivarelli, M., Giuliante, Felice, Ruzzenente, A., Yong, C. -C., Yin, M., Chen, Z., Fondevila, C., Efanov, M., Rotellar, F., Choi, G. -H., Campos, R. R., Wang, X., Sutcliffe, R. P., Pratschke, J., Lai, E., Chong, C. C., D'Hondt, M., Monden, K., Lopez-Ben, S., Coelho, F. F., Kingham, T. P., Liu, R., Long, T. C. D., Ferrero, A., Sandri, G. B. L., Saleh, M., Cherqui, D., Scatton, O., Soubrane, O., Wakabayashi, G., Troisi, R. I., Cheung, T. -T., Sugioka, A., Hilal, M. A., Fuks, D., Edwin, B., Aldrighetti, L., Syn, N., Prieto, M., Schotte, H., De Meyere, C., Krenzien, F., Schmelzle, M., Lee, K. -F., Salimgereeva, D., Alikhanov, R., Lee, L. -S., Jang, J. Y., Kojima, M., Ghotbi, J., Kruger, J. A. P., Lopez-Lopez, V., Valle, B. D., Casellas I Robert, M., Mishima, K., Montalti, R., Giglio, M., Mazzotta, A., Lee, B., Wang, H. -P., Pascual, F., Kadam, P., Tang, C. -N., Yu, S., Ardito, Francesco, Vani, S., Giustizieri, U., Citterio, D., Mocchegiani, F., Ettorre, G. M., Colasanti, M., Guzman, Y., Goh, Brian K P, Han, Ho-Seong, Chen, Kuo-Hsin, Chua, Darren W, Chan, Chung-Yip, Cipriani, Federica, Aghayan, Davit L, Fretland, Asmund A, Sijberden, Jasper, D'Silva, Mizelle, Siow, Tiing Foong, Kato, Yutaro, Lim, Chetana, Nghia, Phan Phuoc, Herman, Paulo, Marino, Marco V, Mazzaferro, Vincenzo, Chiow, Adrian K H, Sucandy, Iswanto, Ivanecz, Arpad, Choi, Sung Hoon, Lee, Jae Hoon, Gastaca, Mikel, Vivarelli, Marco, Giuliante, Felice, Ruzzenente, Andrea, Yong, Chee-Chien, Yin, Mengqui, Chen, Zewei, Fondevila, Constantino, Efanov, Mikhail, Rotellar, Fernando, Choi, Gi-Hong, Campos, Ricardo R, Wang, Xiaoying, Sutcliffe, Robert P, Pratschke, Johann, Lai, Eric, Chong, Charing C, D'Hondt, Mathieu, Monden, Kazuteru, Lopez-Ben, Santiago, Coelho, Fabricio F, Kingham, Thomas Peter, Liu, Rong, Long, Tran Cong Duy, Ferrero, Alessandro, Sandri, Giovanni B Levi, Saleh, Mansour, Cherqui, Daniel, Scatton, Olivier, Soubrane, Olivier, Wakabayashi, Go, Troisi, Roberto I, Cheung, Tan-To, Sugioka, Atsushi, Hilal, Mohammad Abu, Fuks, David, Edwin, Bjørn, and Aldrighetti, Luca
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benchmark ,hepatectomy ,quality assessment ,Settore MED/18 - CHIRURGIA GENERALE ,minimally invasive ,Surgery ,laparoscopic liver resection ,global - Abstract
To establish global benchmark outcomes indicators after laparoscopic liver resections (L-LR).There is limited published data to date on the best achievable outcomes after L-LR.This is a post hoc analysis of a multicenter database of 11,983 patients undergoing L-LR in 45 international centers in 4 continents between 2015 and 2020. Three specific procedures: left lateral sectionectomy (LLS), left hepatectomy (LH), and right hepatectomy (RH) were selected to represent the 3 difficulty levels of L-LR. Fifteen outcome indicators were selected to establish benchmark cutoffs.There were 3519 L-LR (LLS, LH, RH) of which 1258 L-LR (40.6%) cases performed in 34 benchmark expert centers qualified as low-risk benchmark cases. These included 659 LLS (52.4%), 306 LH (24.3%), and 293 RH (23.3%). The benchmark outcomes established for operation time, open conversion rate, blood loss ≥500 mL, blood transfusion rate, postoperative morbidity, major morbidity, and 90-day mortality after LLS, LH, and RH were 209.5, 302, and 426 minutes; 2.1%, 13.4%, and 13.0%; 3.2%, 20%, and 47.1%; 0%, 7.1%, and 10.5%; 11.1%, 20%, and 50%; 0%, 7.1%, and 20%; and 0%, 0%, and 0%, respectively.This study established the first global benchmark outcomes for L-LR in a large-scale international patient cohort. It provides an up-to-date reference regarding the "best achievable" results for L-LR for which centers adopting L-LR can use as a comparison to enable an objective assessment of performance gaps and learning curves.
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- 2022