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This study assessed the impact of the preoperatively determined frailty status with the G8 geriatric screening tool (G8) and comorbidity assessment on the outcome of patients with VC\/VaC.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted an observational study with prospective data collection of patients aged\u2009\u2265\u200960 undergoing surgery for VC and VAC from 05\/2020 to 01\/2025. Patients were assessed with the G8 tool, age-adjusted Charlson-Comorbidity Index and the Lee-index. Positive G8 results led to CGA-based testing and, if indicated, geriatric consultation. Cox regression, Kaplan\u2013Meier curves and propensity score matching (PSM) were used to analyze the predictive validity of the G8.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      41 patients were screened. 26 patients were included with a mean follow-up of 23\u00a0months. 10 patients were considered G8 positive (G8\u2009\u2264\u200914 points). Median age was 74.5 (interquartile range: 66\u201381.3) years. The G8 positive cohort was older, had more comorbidities and had higher ECOG and ASA performance status than the G8 negative cohort. 20% of the G8 positive patients did not receive standard surgical therapy and only one in five patients underwent standard adjuvant radio-\/chemotherapy. The univariate Cox-model for overall survival (OS) for G8 positivity had a hazard ratio of 5.65 with 95% CI [1.14\u201328.1] and a significantly lower 2-year OS (40.0 vs. 85.1%), supported by PSM adjusted for residual confounding (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.017).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The G8 can be easily implemented in the clinical routine to identify VC and VaC patients with a reduced 2-year OS who may benefit from CGA.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00432-025-06378-5","type":"journal-article","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T16:04:18Z","timestamp":1765209858000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Impact of preoperative geriatric screening and comorbidity assessment in patients with vulvar and vaginal cancer"],"prefix":"10.1007","volume":"152","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8018-5484","authenticated-orcid":false,"given":"Valerie Catherine","family":"Linz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emma","family":"Liebau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Markus","family":"Schepers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katharina","family":"Gillen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco Johannes","family":"Battista","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Mohr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mona Wanda","family":"Schmidt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcus","family":"Schmidt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Annette","family":"Hasenburg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,12,8]]},"reference":[{"key":"6378_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s00432-022-04038-6","author":"K Anic","year":"2022","unstructured":"Anic K, Flohr F, Schmidt MW, Krajnak S, Schwab R, Schmidt M, Westphalen C, Eichelsbacher C, Ruckes C, Brenner W, Hasenburg A, Battista MJ (2022) Frailty assessment tools predict perioperative outcome in elderly patients with endometrial cancer better than age or BMI alone: a retrospective observational cohort study. 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J. Battista reports honoraria and expenses from Astra Zeneca, EISAI, GSK and MSD, and consultant activity to Eisai, GSK, and MSD. Furthermore, he has received research funding by Novartis. None were related to this study. K. Gillen reports personal fees by Clovis Oncology, AstraZeneca, Pharma Mar, MSD, GSK, Novartis and Eisai, not related to this trial. A. Hasenburg reports honoraria and expenses from AstraZeneca, Art Tempi, Celgen, GSK, Lilly, LEO Pharma, MedConcept GmbH, Med update GmbH, Medical Event Solution GmbH, Pfizer, PharmaMar GmbH, Pierre Fabre Pharma GmbH, Roche Pharma AG, Streamedup!GmbH, Tesario as well as work as a consultant to AstraZeneca, GSK, LEO Pharma, Lilly, MSD PharmaMar, Roche, Pfizer, Streamedup!GmbH, Tesario. None were related to this study. V. Linz reports personal honoraria and expenses from Novartis and Lilly. None were related to this study. M. Mohr reports personal fees from Pfizer, Novartis and Bristol Myers Squibb. None were related to this study. Marcus Schmidt reports honoraria and expenses from AstraZeneca, BioNTech, Daiichi Sankyo, Eisai, Lilly, MSD, Novartis, Pantarhei Bioscience, Pfizer, Pierre Fabre, Roche, SeaGen, Gilead, Amgen, Menarini Stemline. His institution has received research funding from AstraZeneca, BioNTech, Eisai, Genentech, German Breast Group, Novartis, Palleos, Pantarhei Bioscience, Pierre Fabre, and SeaGen. In addition, he has a patent for EP 2390370 B1 and a patent for EP 2951317 B1 issued. None were related to this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"7"}}