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DC Field | Value | Language |
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dc.contributor.author | Sanchez Vega, Juan Fernando | - |
dc.contributor.author | Murillo Bacilio, Magdali Del rocio | - |
dc.contributor.author | Vintimilla Condoy, Adrian Santiago | - |
dc.contributor.author | Palta Gonzalez, Araceli Miroslava | - |
dc.contributor.author | Crespo Astudillo, Jose Alfredo | - |
dc.contributor.author | Mora Bravo, Franklin Geovany | - |
dc.date.accessioned | 2018-10-19T14:07:05Z | - |
dc.date.available | 2018-10-19T14:07:05Z | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 1471-2407 | - |
dc.identifier.uri | http://dspace.ucuenca.edu.ec/handle/123456789/31433 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047466509&origin=inward | - |
dc.description | Background: 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.abstract | Background: 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.iso | es_ES | - |
dc.source | BMC Cancer | - |
dc.subject | Cancer Antigen 125 | - |
dc.subject | Ovarian Cancer | - |
dc.subject | Prediction Of Metastasis | - |
dc.title | Predictive equation of metastasis in patients with malignant ovarian epithelial tumors with the Ca-125 marker | - |
dc.title.alternative | null | - |
dc.type | ARTÍCULO | - |
dc.ucuenca.idautor | 0104987458 | - |
dc.ucuenca.idautor | 0102753910 | - |
dc.ucuenca.idautor | 0706275120 | - |
dc.ucuenca.idautor | 1900389121 | - |
dc.ucuenca.idautor | 0104893706 | - |
dc.ucuenca.idautor | 0102439726 | - |
dc.identifier.doi | 10.1186/s12885-018-4499-y | - |
dc.ucuenca.version | Versión publicada | - |
dc.ucuenca.areaconocimientounescoamplio | 09 - SALUD Y BIENESTAR | - |
dc.ucuenca.afiliacion | Sanchez, J., Ministerio de Salud Pública Ecuador, Quito, Ecuador | - |
dc.ucuenca.afiliacion | Murillo, M., Universidad de Cuenca, Facultad de Ciencias Médicas, Cuenca, Ecuador; Murillo, M., Instituto del Cáncer SOLCA, CUENCA, Ecuador | - |
dc.ucuenca.afiliacion | Vintimilla, A., Ministerio de Salud Pública Ecuador, Quito, Ecuador | - |
dc.ucuenca.afiliacion | Palta, A., Instituto del Cáncer SOLCA, CUENCA, Ecuador; Palta, A., Universidad del Azuay, Cuenca, Ecuador | - |
dc.ucuenca.afiliacion | Crespo, J., Fundación Pablo Jaramillo, Cuenca, Ecuador | - |
dc.ucuenca.afiliacion | Mora, F., Universidad de Cuenca, Facultad de Ciencias Médicas, Cuenca, Ecuador | - |
dc.ucuenca.volumen | volumen 18 | - |
dc.ucuenca.indicebibliografico | SCOPUS | - |
dc.ucuenca.factorimpacto | 1.464 | - |
dc.ucuenca.cuartil | Q2 | - |
dc.ucuenca.numerocitaciones | 0 | - |
dc.ucuenca.areaconocimientofrascatiamplio | 3. CIENCIAS MEDICAS Y DE LA SALUD | - |
dc.ucuenca.areaconocimientofrascatiespecifico | 3.3 CIENCIAS DE LA SALUD | - |
dc.ucuenca.areaconocimientofrascatidetallado | 3.3.1 CIENCIAS Y SERVICIOS DEL CUIDADO DE LA SALUD | - |
dc.ucuenca.areaconocimientounescoespecifico | 091 - SALUD | - |
dc.ucuenca.areaconocimientounescodetallado | 0912 - MEDICINA | - |
dc.ucuenca.urifuente | http://www.biomedcentral.com/ | - |
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