{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T19:30:19Z","timestamp":1793388619332,"version":"4.5.0"},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,2,4]],"date-time":"2025-02-04T00:00:00Z","timestamp":1738627200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,4]],"date-time":"2025-02-04T00:00:00Z","timestamp":1738627200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Graefes Arch Clin Exp Ophthalmol"],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1007\/s00417-025-06761-5","type":"journal-article","created":{"date-parts":[[2025,2,4]],"date-time":"2025-02-04T03:17:06Z","timestamp":1738639026000},"page":"1229-1238","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Cataract surgery risk stratification models: a systematic review"],"prefix":"10.1007","volume":"263","author":[{"given":"Chaerim","family":"Kang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Angela S.","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olivia","family":"Waldman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T. Michael","family":"Kashner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2305-6766","authenticated-orcid":false,"given":"Paul B.","family":"Greenberg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,4]]},"reference":[{"key":"6761_CR1","doi-asserted-by":"publisher","first-page":"816","DOI":"10.1016\/j.spinee.2018.12.007","volume":"19","author":"M Yagi","year":"2019","unstructured":"Yagi M, Hosogane N, Fujita N, Okada E, Suzuki S, Tsuji O, Nagoshi N, Asazuma T, Tsuji T, Nakamura M, Matsumoto M, Watanabe K (2019) Surgical risk stratification based on preoperative risk factors in adult spinal deformity. Spine J 19:816\u2013826. https:\/\/doi.org\/10.1016\/j.spinee.2018.12.007","journal-title":"Spine J"},{"key":"6761_CR2","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/s10792-021-02014-6","volume":"42","author":"M Shekhar","year":"2022","unstructured":"Shekhar M, Choudhury P, Ramya G, Sankarananthan R, Balagiri S, Wijesinghe HK (2022) Cataract surgery risk stratification in phacoemulsification and manual small incision cataract surgery in a teaching hospital. Int Ophthalmol 42:201\u2013209. https:\/\/doi.org\/10.1007\/s10792-021-02014-6","journal-title":"Int Ophthalmol"},{"key":"6761_CR3","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1007\/s00059-018-4700-8","volume":"45","author":"S Marrakchi","year":"2020","unstructured":"Marrakchi S, Kammoun I, Bennour E, Laroussi L, Kachboura S (2020) Risk stratification in hypertrophic cardiomyopathy. Herz 45:50\u201364. https:\/\/doi.org\/10.1007\/s00059-018-4700-8","journal-title":"Herz"},{"key":"6761_CR4","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1097\/MCP.0000000000000998","volume":"29","author":"JM Chowdhury","year":"2023","unstructured":"Chowdhury JM, Brown P, Kasarabada A (2023) Risk stratification of pulmonary embolism. Curr Opin Pulm Med 29:363\u2013369. https:\/\/doi.org\/10.1097\/MCP.0000000000000998","journal-title":"Curr Opin Pulm Med"},{"key":"6761_CR5","unstructured":"National Guideline Centre (UK) (2020) Evidence review for preoperative risk stratification tools: Perioperative care in adults: Evidence review C. London: National Institute for Health and Care"},{"key":"6761_CR6","doi-asserted-by":"publisher","first-page":"1148","DOI":"10.1053\/j.jvca.2021.03.005","volume":"36","author":"AP Pittams","year":"2022","unstructured":"Pittams AP, Iddawela S, Zaidi S, Tyson N, Harky A (2022) Scoring Systems for Risk Stratification in Patients Undergoing Cardiac Surgery. J Cardiothorac Vasc Anesth 36:1148\u20131156. https:\/\/doi.org\/10.1053\/j.jvca.2021.03.005","journal-title":"J Cardiothorac Vasc Anesth"},{"key":"6761_CR7","doi-asserted-by":"publisher","first-page":"b605","DOI":"10.1136\/bmj.b605","volume":"338","author":"DG Altman","year":"2009","unstructured":"Altman DG, Vergouwe Y, Royston P, Moons KG (2009) Prognosis and prognostic research: validating a prognostic model. BMJ 338:b605. https:\/\/doi.org\/10.1136\/bmj.b605","journal-title":"BMJ"},{"key":"6761_CR8","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1097\/ALN.0b013e3182a4e94d","volume":"119","author":"SR Moonesinghe","year":"2013","unstructured":"Moonesinghe SR, Mythen MG, Das P, Rowan KM, Grocott MP (2013) Risk stratification tools for predicting morbidity and mortality in adult patients undergoing major surgery: qualitative systematic review. Anesthesiology 119:959\u2013981. https:\/\/doi.org\/10.1097\/ALN.0b013e3182a4e94d","journal-title":"Anesthesiology"},{"key":"6761_CR9","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1111\/hex.13739","volume":"26","author":"LC Taylor","year":"2023","unstructured":"Taylor LC, Hutchinson A, Law K, Shah V, Usher-Smith JA, Dennison RA (2023) Acceptability of risk stratification within population-based cancer screening from the perspective of the general public: a mixed-methods systematic review. Health Expect 26:989\u20131008. https:\/\/doi.org\/10.1111\/hex.13739","journal-title":"Health Expect"},{"key":"6761_CR10","doi-asserted-by":"publisher","first-page":"2401","DOI":"10.47391\/JPMA.06-861","volume":"71","author":"I Ahmed","year":"2021","unstructured":"Ahmed I, Ishtiaq S (2021) Reliability and validity: Importance in Medical Research. J Pak Med Assoc 71:2401\u20132406. https:\/\/doi.org\/10.47391\/JPMA.06-861","journal-title":"J Pak Med Assoc"},{"key":"6761_CR11","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1111\/ceo.13696","volume":"48","author":"JV Han","year":"2020","unstructured":"Han JV, Patel DV, Liu K, Kim BZ, Sherwin T, McGhee CNJ (2020) Auckland Cataract Study IV: Practical application of NZCRS cataract risk stratification to reduce phacoemulsification complications. Clin Exp Ophthalmol 48:311\u2013318. https:\/\/doi.org\/10.1111\/ceo.13696","journal-title":"Clin Exp Ophthalmol"},{"key":"6761_CR12","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.ajo.2016.09.003","volume":"171","author":"BZ Kim","year":"2016","unstructured":"Kim BZ, Patel DV, Sherwin T, McGhee CN (2016) The Auckland Cataract Study: Assessing Preoperative Risk Stratification Systems for Phacoemulsification Surgery in a Teaching Hospital. Am J Ophthalmol 171:145\u2013150. https:\/\/doi.org\/10.1016\/j.ajo.2016.09.003","journal-title":"Am J Ophthalmol"},{"key":"6761_CR13","doi-asserted-by":"publisher","first-page":"2137","DOI":"10.2147\/OPTH.S368633","volume":"16","author":"O Moussa","year":"2022","unstructured":"Moussa O, Frank T, Valenzuela IA, Aliancy J, Gong D, De Rojas JO, Dagi Glass LR, Winn BJ, Cioffi GA, Chen RWS (2022) Efficacy of Preoperative Risk Stratification on Resident Phacoemulsification Surgeries. Clin Ophthalmol 16:2137\u20132144. https:\/\/doi.org\/10.2147\/OPTH.S368633","journal-title":"Clin Ophthalmol"},{"key":"6761_CR14","doi-asserted-by":"publisher","first-page":"1242","DOI":"10.1136\/bjo.2004.046003","volume":"88","author":"M Muhtaseb","year":"2004","unstructured":"Muhtaseb M, Kalhoro A, Ionides A (2004) A system for preoperative stratification of cataract patients according to risk of intraoperative complications: a prospective analysis of 1441 cases. Br J Ophthalmol 88:1242\u20131246. https:\/\/doi.org\/10.1136\/bjo.2004.046003","journal-title":"Br J Ophthalmol"},{"key":"6761_CR15","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1038\/sj.eye.6703049","volume":"23","author":"N Narendran","year":"2009","unstructured":"Narendran N, Jaycock P, Johnston RL, Taylor H, Adams M, Tole DM, Asaria RH, Galloway P, Sparrow JM (2009) The Cataract National Dataset electronic multicentre audit of 55,567 operations: risk stratification for posterior capsule rupture and vitreous loss. Eye (Lond) 23:31\u201337. https:\/\/doi.org\/10.1038\/sj.eye.6703049","journal-title":"Eye (Lond)"},{"key":"6761_CR16","doi-asserted-by":"publisher","first-page":"3121","DOI":"10.1038\/s41433-023-02480-5","volume":"37","author":"A Poostchi","year":"2023","unstructured":"Poostchi A, Kastner A, Konstantakopoulou E, Gazzard G, Jayaram H (2023) Clinical risk stratification in glaucoma. Eye (Lond) 37:3121\u20133127. https:\/\/doi.org\/10.1038\/s41433-023-02480-5","journal-title":"Eye (Lond)"},{"key":"6761_CR17","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1167\/tvst.10.6.14","volume":"10","author":"A Qassim","year":"2021","unstructured":"Qassim A, Souzeau E, Hollitt G, Hassall MM, Siggs OM, Craig JE (2021) Risk stratification and clinical utility of polygenic risk scores in ophthalmology. Transl Vis Sci Technol 10:14. https:\/\/doi.org\/10.1167\/tvst.10.6.14","journal-title":"Transl Vis Sci Technol"},{"key":"6761_CR18","doi-asserted-by":"publisher","first-page":"e000464","DOI":"10.1136\/bmjophth-2020-000464","volume":"6","author":"T Rossi","year":"2021","unstructured":"Rossi T, Romano MR, Iannetta D, Romano V, Gualdi L, D\u2019Agostino I, Ripandelli G (2021) Cataract surgery practice patterns worldwide: a survey. BMJ Open Ophthalmol 6:e000464. https:\/\/doi.org\/10.1136\/bmjophth-2020-000464","journal-title":"BMJ Open Ophthalmol"},{"key":"6761_CR19","doi-asserted-by":"publisher","first-page":"n71","DOI":"10.1136\/bmj.n71","volume":"372","author":"MJ Page","year":"2021","unstructured":"Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hrobjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71. https:\/\/doi.org\/10.1136\/bmj.n71","journal-title":"BMJ"},{"key":"6761_CR20","doi-asserted-by":"publisher","unstructured":"Wolff RF, Moons KGM, Riley RD, Whiting PF, Westwood M, Collins GS, Reitsma JB, Kleijnen J, Mallett S, Groupdagger P (2019) PROBAST: a tool to assess the risk of bias and applicability of prediction model studies. Ann Intern Med 170:51-58. https:\/\/doi.org\/10.7326\/M18-1376","DOI":"10.7326\/M18-1376"},{"key":"6761_CR21","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1002\/bjs.9736","volume":"102","author":"GS Collins","year":"2015","unstructured":"Collins GS, Reitsma JB, Altman DG, Moons KG (2015) Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement. Br J Surg 102:148\u2013158. https:\/\/doi.org\/10.1002\/bjs.9736","journal-title":"Br J Surg"},{"key":"6761_CR22","doi-asserted-by":"publisher","first-page":"e1001744","DOI":"10.1371\/journal.pmed.1001744","volume":"11","author":"KG Moons","year":"2014","unstructured":"Moons KG, de Groot JA, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, Reitsma JB, Collins GS (2014) Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Med 11:e1001744. https:\/\/doi.org\/10.1371\/journal.pmed.1001744","journal-title":"PLoS Med"},{"key":"6761_CR23","doi-asserted-by":"publisher","unstructured":"Arnalich-Montiel F, Mingo-Botin D, De Arriba-Palomero P (2019) Preoperative risk assessment for progression to descemet membrane endothelial keratoplasty following cataract surgery in fuchs endothelial corneal dystrophy. Am J Ophthalmol 208:76\u201386. https:\/\/doi.org\/10.1016\/j.ajo.2019.07.012","DOI":"10.1016\/j.ajo.2019.07.012"},{"key":"6761_CR24","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1001\/jamaophthalmol.2021.4393","volume":"139","author":"A Cuttitta","year":"2021","unstructured":"Cuttitta A, Joseph SS, Henderson J, Portney DS, Keedy JM, Benedict WL, Lahti H, Klarr PS, Shtein RM, Lee PP, Kerr E, Mian SI (2021) Feasibility of a risk-based approach to cataract surgery preoperative medical evaluation. JAMA Ophthalmol 139:1309\u20131312. https:\/\/doi.org\/10.1001\/jamaophthalmol.2021.4393","journal-title":"JAMA Ophthalmol"},{"key":"6761_CR25","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.ajo.2018.09.026","volume":"197","author":"JV Han","year":"2019","unstructured":"Han JV, Patel DV, Wallace HB, Kim BZ, Sherwin T, McGhee CNJ (2019) Auckland cataract study iii: refining preoperative assessment with cataract risk stratification to reduce intraoperative complications. Am J Ophthalmol 197:114\u2013120. https:\/\/doi.org\/10.1016\/j.ajo.2018.09.026","journal-title":"Am J Ophthalmol"},{"key":"6761_CR26","doi-asserted-by":"publisher","first-page":"1132","DOI":"10.1097\/j.jcrs.0000000000000223","volume":"46","author":"I Mylona","year":"2020","unstructured":"Mylona I, Dermenoudi M, Glynatsis M, Ziakas N, Tsinopoulos I (2020) Development of a reliable preoperative risk stratification system for phacoemulsification. J Cataract Refract Surg 46:1132\u20131137. https:\/\/doi.org\/10.1097\/j.jcrs.0000000000000223","journal-title":"J Cataract Refract Surg"},{"key":"6761_CR27","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1016\/j.jcrs.2018.04.036","volume":"44","author":"P Nderitu","year":"2018","unstructured":"Nderitu P, Ursell P (2018) Updated cataract surgery complexity stratification score for trainee ophthalmic surgeons. J Cataract Refract Surg 44:709\u2013717. https:\/\/doi.org\/10.1016\/j.jcrs.2018.04.036","journal-title":"J Cataract Refract Surg"},{"key":"6761_CR28","doi-asserted-by":"publisher","unstructured":"Arnalich-Montiel F, de-Arriba-Palomero P, Muriel A, Mingo-Botin D (2021) A risk prediction model for endothelial keratoplasty after uncomplicated cataract surgery in fuchs endothelial corneal dystrophy. Am J Ophthalmol 231:70-78. https:\/\/doi.org\/10.1016\/j.ajo.2021.04.016","DOI":"10.1016\/j.ajo.2021.04.016"},{"key":"6761_CR29","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1007\/s00134-014-3227-6","volume":"40","author":"J Labarere","year":"2014","unstructured":"Labarere J, Renaud B, Fine MJ (2014) How to derive and validate clinical prediction models for use in intensive care medicine. Intensive Care Med 40:513\u2013527. https:\/\/doi.org\/10.1007\/s00134-014-3227-6","journal-title":"Intensive Care Med"},{"key":"6761_CR30","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1080\/24709360.2019.1618653","volume":"4","author":"SS Henley","year":"2020","unstructured":"Henley SS, Golden RM, Kashner TM (2020) Statistical modeling methods: challenges and strategies. Biostat Epidemiol 4:105\u2013139. https:\/\/doi.org\/10.1080\/24709360.2019.1618653","journal-title":"Biostat Epidemiol"},{"key":"6761_CR31","doi-asserted-by":"publisher","first-page":"e44","DOI":"10.1038\/ctg.2013.19","volume":"5","author":"AK Waljee","year":"2014","unstructured":"Waljee AK, Higgins PD, Singal AG (2014) A primer on predictive models. Clin Transl Gastroenterol 5:e44. https:\/\/doi.org\/10.1038\/ctg.2013.19","journal-title":"Clin Transl Gastroenterol"},{"key":"6761_CR32","doi-asserted-by":"publisher","unstructured":"Zhang Z, Zhang H, Khanal MK (2017) Development of scoring system for risk stratification in clinical medicine: a step-by-step tutorial. Ann Transl Med 5:436. https:\/\/doi.org\/10.21037\/atm.2017.08.22","DOI":"10.21037\/atm.2017.08.22"},{"key":"6761_CR33","doi-asserted-by":"publisher","first-page":"e0226765","DOI":"10.1371\/journal.pone.0226765","volume":"14","author":"GF Stark","year":"2019","unstructured":"Stark GF, Hart GR, Nartowt BJ, Deng J (2019) Predicting breast cancer risk using personal health data and machine learning models. PLoS ONE 14:e0226765. https:\/\/doi.org\/10.1371\/journal.pone.0226765","journal-title":"PLoS ONE"},{"key":"6761_CR34","doi-asserted-by":"publisher","first-page":"e0214465","DOI":"10.1371\/journal.pone.0214465","volume":"14","author":"D Zeiberg","year":"2019","unstructured":"Zeiberg D, Prahlad T, Nallamothu BK, Iwashyna TJ, Wiens J, Sjoding MW (2019) Machine learning for patient risk stratification for acute respiratory distress syndrome. PLoS ONE 14:e0214465. https:\/\/doi.org\/10.1371\/journal.pone.0214465","journal-title":"PLoS ONE"},{"key":"6761_CR35","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1080\/24709360.2019.1681211","volume":"4","author":"TM Kashner","year":"2020","unstructured":"Kashner TM, Henley SS, Golden RM, Zhou X-H (2020) Making causal inferences about treatment effect sizes from observational datasets. Biostat Epidemiol 4:48\u201383. https:\/\/doi.org\/10.1080\/24709360.2019.1681211","journal-title":"Biostat Epidemiol"}],"container-title":["Graefe's Archive for Clinical and Experimental Ophthalmology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00417-025-06761-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00417-025-06761-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00417-025-06761-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T22:03:59Z","timestamp":1749506639000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00417-025-06761-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,4]]},"references-count":35,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2025,5]]}},"alternative-id":["6761"],"URL":"https:\/\/doi.org\/10.1007\/s00417-025-06761-5","relation":{},"ISSN":["0721-832X","1435-702X"],"issn-type":[{"value":"0721-832X","type":"print"},{"value":"1435-702X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,4]]},"assertion":[{"value":"15 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 January 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 January 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 February 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}},{"value":"All authors certify that they have no affiliations with or involvement in any organization or entity with any financial interest (such as honoraria; educational grants; participation in speakers\u2019 bureaus; membership, employment, consultancies, stock ownership, or other equity interest; and expert testimony or patent-licensing arrangements), or non-financial interest (such as personal or professional relationships, affiliations, knowledge or beliefs) in the subject matter or materials discussed in this manuscript. The views expressed here are those of the authors and do not necessarily reflect the position or policy of the US Department of Veterans Affairs or the US government.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Research involving human participants and\/or animals"}}]}}