Validation of three predictive models for suboptimal cytoreductive surgery in advanced ovarian cancer
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Altres documents de l'autoria: Llueca, Antoni; CLIMENT MARTÍ, MARIA TERESA; Escrig-Sos, Javier; Carrasco, Paula; Serra Rubert, Anna; Gómez-Quiles, Luis; Játiva, R.; Cebrian, G.; Boso Ribelles, Virginia; Villarin, A.; Maiocchi, Karina; Delgado Barriga, Katty; RODRIGO-ALIAGA, MIGUEL; Ruiz, N.; Herrero, C.; Frances, A.; Beato, I.; Ferrer, C.; Kessler, Juan Pablo Aracil; Boldo Roda, Enrique; Boldo, A.; Adell, R.
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Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
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INVESTIGACIONMetadades
Títol
Validation of three predictive models for suboptimal cytoreductive surgery in advanced ovarian cancerAutoria
Data de publicació
2021-04-14Editor
Nature ResearchISSN
2045-2322Cita bibliogràfica
Llueca, A., Climent, M.T., Escrig, J. et al. Validation of three predictive models for suboptimal cytoreductive surgery in advanced ovarian cancer. Sci Rep 11, 8111 (2021). https://doi.org/10.1038/s41598-021-86928-2Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.nature.com/articles/s41598-021-86928-2Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
The standard treatment for advanced ovarian cancer (AOC) is cytoreduction surgery and adjuvant chemotherapy. Tumor volume after surgery is a major prognostic factor for these patients. The ability to perform complete ... [+]
The standard treatment for advanced ovarian cancer (AOC) is cytoreduction surgery and adjuvant chemotherapy. Tumor volume after surgery is a major prognostic factor for these patients. The ability to perform complete cytoreduction depends on the extent of disease and the skills of the surgical team. Several predictive models have been proposed to evaluate the possibility of performing complete cytoreductive surgery (CCS). External validation of the prognostic value of three predictive models (Fagotti index and the R3 and R4 models) for predicting suboptimal cytoreductive surgery (SCS) in AOC was performed in this study. The scores of the 3 models were evaluated in one hundred and three consecutive patients diagnosed with AOC treated in a tertiary hospital were evaluated. Clinicopathological features were collected prospectively and analyzed retrospectively. The performance of the three models was evaluated, and calibration and discrimination were analyzed. The calibration of the Fagotti, R3 and R4 models showed odds ratios of obtaining SCSs of 1.5, 2.4 and 2.4, respectively, indicating good calibration. The discrimination of the Fagotti, R3 and R4 models showed an area under the ROC curve of 83%, 70% and 81%, respectively. The negative predictive values of the three models were higher than the positive predictive values for SCS. The three models were able to predict suboptimal cytoreductive surgery for advanced ovarian cancer, but they were more reliable for predicting CCS. The R4 model discriminated better because it includes the laparotomic evaluation of the peritoneal carcinomatosis index. [-]
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info:eu-repo/semantics/openAccess
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