1. Turk C, Neisius A, PEtrik A, Seitz C, Skolarikos A, Thomas K et al. EAU guidelines on urolithiasis. European Association of Urology. https://uroweb.org/guideline/prostate-cancer/ Edn. presented at the EAU Annual Congress Amsterdam 2020. EAU Guidelines Office, Arnhem, The Netherlands. ISBN 978-94-92671-07-3.
2. Sfoungaristos S, Mykoniatis I, Isid A, et al. Interobserver Reliability and Reproducibility of the Clinical Research Office of the Endourological Society Nomogram in Predicting Percutaneous Nephrolithotomy Results. Urology. 2016;97:56–60. https://doi.org/10.1016/j.urology.2016.07.014
3. Thomas K, Smith NC, Hegarty N, et al. The Guy’s stone score--grading the complexity of percutaneous nephrolithotomy procedures. Urology. 2011;78:277-281. https://doi.org/10,1016/j.urology.2010.12.026
4. Okhunov Z, Friedlander JI, George AK, et al. S.T.O.N.E. nephrolithometry: novel surgical classification system for kidney calculi. Urology. 2013;81:1154- 1159. https://doi.org/10.1016/j.urology.2012.10.083
5. Smith A, Averch TD, Shahrour K, et al. A nephrolithometric nomogram to predict treatment success of percutaneous nephrolithotomy. J Urol. 2013;190:149-156. https://doi.org/10,1016/j.juro.2013.01.047
6. Clavien dindo: Clavien PA, Barkun J, de Oliveira ML et al (2009) The Clavien-Dindo classification of surgical complications: five-year experience. Ann Surg. 250:187-196 https://doi.org/10,1097/SLA.0b013e3181b13ca2
7. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159-174. PMID: 843571
8. Cantinotti M, Giordano R, Clemente A, et al. Strengths and Limitations of Current Adult Nomograms for the Aorta Obtained by Noninvasive Cardiovascular Imaging. Echocardiography. 2016;33(7):1046-1068. https://doi.org/10,1111/echo.13232
9. Stojadinovic MM, Prelevic RI. External validation of existing nomograms predicting lymph node metastases in cystectomized patients. Int J Clin Oncol. 2015;20(1):164-170. https://doi.org/10.1007/s10147-014-0693-3
10. Onal B, Tansu N, Demirkesen O, et al. Nomogram and scoring system for predicting stone-free status after extracorporeal shock wave lithotripsy in children with urolithiasis. BJU Int. 2013;111(2):344-352. https://doi.org/10.1111/j.1464-410X.2012.11281.x
11. Ozgor F, Tosun M, Kayali Y, Savun M, Binbay M, Tepeler A. External Validation and Evaluation of Reliability and Validity of the Triple D Score to Predict Stone-Free Status After Extracorporeal Shockwave Lithotripsy. J Endourol. 2017;31(2):169-173. https://doi.org/10.1089/end2016.0721
12. Yanaral F, Ozgor F, Savun M, Sahan M, Sarilar O, Binbay M. Comparison of CROES, S.T.O.N.E, and Guy’s scoring systems for the prediction of stone-free status and complication rates following percutaneous nephrolithotomy in patients with chronic kidney disease. Int Urol Nephrol. 2017;49(9):1569-1575. https://doi.org/10.1007/s11255-017-1631-x
13. Cantinotti, M., Scalese, M., Giordano, R. et al. A statistical comparison of reproducibility in current pediatric two-dimensional echocardiographic nomograms. Pediatr Res. 89, 579-590 (2021). https://doi.org/10.1038/s41390-020-0900-z.
14. Jiang K, Sun F, Zhu J, et al. Evaluation of three stone-scoring systems for predicting SFR and complications after percutaneous nephrolithotomy: a systematic review and meta-analysis. BMC Urol. 2019;19(1):57. https://doi.org/10.1186/s12894-019-0488-y
15. Sameera, V., Bindra, A., & Rath, G. P. Human errors and their prevention in healthcare. Journal of anaesthesiology, clinical pharmacology, 2021;37(3):328-335. https://doi.org/10.4103/joacp.JOACP_364_19
16. Wang F, Gu X, Chen S, et al. Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development. PeerJ. 2020;8:e8854. https://doi.org/10.7717/peerj.8854
REFERENCES
1. Turk C, Neisius A, PEtrik A, Seitz C, Skolarikos A, Thomas K et al. EAU guidelines on urolithiasis. European Association of Urology. https://uroweb.org/guideline/prostate-cancer/ Edn. presented at the EAU Annual Congress Amsterdam 2020. EAU Guidelines Office, Arnhem, The Netherlands. ISBN 978-94-92671-07-3.
2. Sfoungaristos S, Mykoniatis I, Isid A, et al. Interobserver Reliability and Reproducibility of the Clinical Research Office of the Endourological Society Nomogram in Predicting Percutaneous Nephrolithotomy Results. Urology. 2016;97:56–60. https://doi.org/10.1016/j.urology.2016.07.014
3. Thomas K, Smith NC, Hegarty N, et al. The Guy’s stone score--grading the complexity of percutaneous nephrolithotomy procedures. Urology. 2011;78:277-281. https://doi.org/10,1016/j.urology.2010.12.026
4. Okhunov Z, Friedlander JI, George AK, et al. S.T.O.N.E. nephrolithometry: novel surgical classification system for kidney calculi. Urology. 2013;81:1154- 1159. https://doi.org/10.1016/j.urology.2012.10.083
5. Smith A, Averch TD, Shahrour K, et al. A nephrolithometric nomogram to predict treatment success of percutaneous nephrolithotomy. J Urol. 2013;190:149-156. https://doi.org/10,1016/j.juro.2013.01.047
6. Clavien dindo: Clavien PA, Barkun J, de Oliveira ML et al (2009) The Clavien-Dindo classification of surgical complications: five-year experience. Ann Surg. 250:187-196 https://doi.org/10,1097/SLA.0b013e3181b13ca2
7. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159-174. PMID: 843571
8. Cantinotti M, Giordano R, Clemente A, et al. Strengths and Limitations of Current Adult Nomograms for the Aorta Obtained by Noninvasive Cardiovascular Imaging. Echocardiography. 2016;33(7):1046-1068. https://doi.org/10,1111/echo.13232
9. Stojadinovic MM, Prelevic RI. External validation of existing nomograms predicting lymph node metastases in cystectomized patients. Int J Clin Oncol. 2015;20(1):164-170. https://doi.org/10.1007/s10147-014-0693-3
10. Onal B, Tansu N, Demirkesen O, et al. Nomogram and scoring system for predicting stone-free status after extracorporeal shock wave lithotripsy in children with urolithiasis. BJU Int. 2013;111(2):344-352. https://doi.org/10.1111/j.1464-410X.2012.11281.x
11. Ozgor F, Tosun M, Kayali Y, Savun M, Binbay M, Tepeler A. External Validation and Evaluation of Reliability and Validity of the Triple D Score to Predict Stone-Free Status After Extracorporeal Shockwave Lithotripsy. J Endourol. 2017;31(2):169-173. https://doi.org/10.1089/end2016.0721
12. Yanaral F, Ozgor F, Savun M, Sahan M, Sarilar O, Binbay M. Comparison of CROES, S.T.O.N.E, and Guy’s scoring systems for the prediction of stone-free status and complication rates following percutaneous nephrolithotomy in patients with chronic kidney disease. Int Urol Nephrol. 2017;49(9):1569-1575. https://doi.org/10.1007/s11255-017-1631-x
13. Cantinotti, M., Scalese, M., Giordano, R. et al. A statistical comparison of reproducibility in current pediatric two-dimensional echocardiographic nomograms. Pediatr Res. 89, 579-590 (2021). https://doi.org/10.1038/s41390-020-0900-z.
14. Jiang K, Sun F, Zhu J, et al. Evaluation of three stone-scoring systems for predicting SFR and complications after percutaneous nephrolithotomy: a systematic review and meta-analysis. BMC Urol. 2019;19(1):57. https://doi.org/10.1186/s12894-019-0488-y
15. Sameera, V., Bindra, A., & Rath, G. P. Human errors and their prevention in healthcare. Journal of anaesthesiology, clinical pharmacology, 2021;37(3):328-335. https://doi.org/10.4103/joacp.JOACP_364_19
16. Wang F, Gu X, Chen S, et al. Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development. PeerJ. 2020;8:e8854. https://doi.org/10.7717/peerj.8854