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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/31433
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dc.contributor.authorSanchez Vega, Juan Fernando-
dc.contributor.authorMurillo Bacilio, Magdali Del rocio-
dc.contributor.authorVintimilla Condoy, Adrian Santiago-
dc.contributor.authorPalta Gonzalez, Araceli Miroslava-
dc.contributor.authorCrespo Astudillo, Jose Alfredo-
dc.contributor.authorMora Bravo, Franklin Geovany-
dc.date.accessioned2018-10-19T14:07:05Z-
dc.date.available2018-10-19T14:07:05Z-
dc.date.issued2018-
dc.identifier.issn1471-2407-
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/31433-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047466509&origin=inward-
dc.descriptionBackground: Cancer antigen (CA) 125 (CA-125) is used in ovarian cancer detection and monitoring, whose serum level has a positive correlation with tumor stage. The aim of this study was to obtain a prediction metastasis equation in a group of patients with ovarian cancer based on Ca-125. Methods: A 2-group comparative observational study was conducted at a single oncologic institution (SOLCA) in Cuenca-Ecuador. All patients who were diagnosed with ovarian cancer between January 1996 and December 2016 were included in the current study. Group 1 (G1) patients with the I and II International Federation of Gynecology and Obstetrics (FIGO) stage and Metastasis Group (MG), with III and IV stage, were subdivided. A logistic regression equation was performed to predict metastasis based on Logarithm of serum Ca-125 levels. Results: We included 85 cases in G1 and 64 patients in MG, with 47.8 plusmn; 15 years (G1) and 57.5 ± 13.6 years (MG) of age (P < 0.001). Mortality in G1 was 2 cases (3.1%) and 53 cases (62.4%) in MG (P < 0.001). The CA-125 serum level was 163.5 ± 236 in G1 and 1220.9 ± 1940 u / ml in MG (P < 0.001). The equation to predict metastasis = (Age*0.053) + [(Logarithm Ca-125 value) * 1.078] -8.163 with an OR 2.940 (CI 95% 2.046-4.223) P < 0.001. The sensitivity of the equation was 82.4% and the specificity was 79.7%. Conclusions: It is possible to predict the presence of metastasis in a group of patients with ovarian cancer based on Ca-125. © 2018 The Author(s).-
dc.description.abstractBackground: Cancer antigen (CA) 125 (CA-125) is used in ovarian cancer detection and monitoring, whose serum level has a positive correlation with tumor stage. The aim of this study was to obtain a prediction metastasis equation in a group of patients with ovarian cancer based on Ca-125. Methods: A 2-group comparative observational study was conducted at a single oncologic institution (SOLCA) in Cuenca-Ecuador. All patients who were diagnosed with ovarian cancer between January 1996 and December 2016 were included in the current study. Group 1 (G1) patients with the I and II International Federation of Gynecology and Obstetrics (FIGO) stage and Metastasis Group (MG), with III and IV stage, were subdivided. A logistic regression equation was performed to predict metastasis based on Logarithm of serum Ca-125 levels. Results: We included 85 cases in G1 and 64 patients in MG, with 47.8 plusmn; 15 years (G1) and 57.5 ± 13.6 years (MG) of age (P < 0.001). Mortality in G1 was 2 cases (3.1%) and 53 cases (62.4%) in MG (P < 0.001). The CA-125 serum level was 163.5 ± 236 in G1 and 1220.9 ± 1940 u / ml in MG (P < 0.001). The equation to predict metastasis = (Age*0.053) + [(Logarithm Ca-125 value) * 1.078] -8.163 with an OR 2.940 (CI 95% 2.046-4.223) P < 0.001. The sensitivity of the equation was 82.4% and the specificity was 79.7%. Conclusions: It is possible to predict the presence of metastasis in a group of patients with ovarian cancer based on Ca-125. © 2018 The Author(s).-
dc.language.isoes_ES-
dc.sourceBMC Cancer-
dc.subjectCancer Antigen 125-
dc.subjectOvarian Cancer-
dc.subjectPrediction Of Metastasis-
dc.titlePredictive equation of metastasis in patients with malignant ovarian epithelial tumors with the Ca-125 marker-
dc.title.alternativenull-
dc.typeARTÍCULO-
dc.ucuenca.idautor0104987458-
dc.ucuenca.idautor0102753910-
dc.ucuenca.idautor0706275120-
dc.ucuenca.idautor1900389121-
dc.ucuenca.idautor0104893706-
dc.ucuenca.idautor0102439726-
dc.identifier.doi10.1186/s12885-018-4499-y-
dc.ucuenca.versionVersión publicada-
dc.ucuenca.areaconocimientounescoamplio09 - SALUD Y BIENESTAR-
dc.ucuenca.afiliacionSanchez, J., Ministerio de Salud Pública Ecuador, Quito, Ecuador-
dc.ucuenca.afiliacionMurillo, M., Universidad de Cuenca, Facultad de Ciencias Médicas, Cuenca, Ecuador; Murillo, M., Instituto del Cáncer SOLCA, CUENCA, Ecuador-
dc.ucuenca.afiliacionVintimilla, A., Ministerio de Salud Pública Ecuador, Quito, Ecuador-
dc.ucuenca.afiliacionPalta, A., Instituto del Cáncer SOLCA, CUENCA, Ecuador; Palta, A., Universidad del Azuay, Cuenca, Ecuador-
dc.ucuenca.afiliacionCrespo, J., Fundación Pablo Jaramillo, Cuenca, Ecuador-
dc.ucuenca.afiliacionMora, F., Universidad de Cuenca, Facultad de Ciencias Médicas, Cuenca, Ecuador-
dc.ucuenca.volumenvolumen 18-
dc.ucuenca.indicebibliograficoSCOPUS-
dc.ucuenca.factorimpacto1.464-
dc.ucuenca.cuartilQ2-
dc.ucuenca.numerocitaciones0-
dc.ucuenca.areaconocimientofrascatiamplio3. CIENCIAS MEDICAS Y DE LA SALUD-
dc.ucuenca.areaconocimientofrascatiespecifico3.3 CIENCIAS DE LA SALUD-
dc.ucuenca.areaconocimientofrascatidetallado3.3.1 CIENCIAS Y SERVICIOS DEL CUIDADO DE LA SALUD-
dc.ucuenca.areaconocimientounescoespecifico091 - SALUD-
dc.ucuenca.areaconocimientounescodetallado0912 - MEDICINA-
dc.ucuenca.urifuentehttp://www.biomedcentral.com/-
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