Implicative statistical analysis in the identification of prognostic factors for cervical cancer mortality
Introduction: the statistical techniques used for the identification of prognostic factors are multivariate; one of the most frequent is logistic regression. In this work another technique is proposed and to test it, cervical cancer is used as a health problem due to its high incidence and mortality...
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| Format: | Article |
| Language: | Spanish |
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Editorial Ciencias Médicas
2021-02-01
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| Series: | Acta Médica del Centro |
| Subjects: | |
| Online Access: | http://www.revactamedicacentro.sld.cu/index.php/amc/article/view/1123 |
| _version_ | 1811244022696509440 |
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| author | Nelsa María Sagaró del Campo Larisa Zamora Matamoros |
| author_facet | Nelsa María Sagaró del Campo Larisa Zamora Matamoros |
| author_sort | Nelsa María Sagaró del Campo |
| collection | DOAJ |
| description | Introduction: the statistical techniques used for the identification of prognostic factors are multivariate; one of the most frequent is logistic regression. In this work another technique is proposed and to test it, cervical cancer is used as a health problem due to its high incidence and mortality.
Objective: to evaluate the usefulness of implicative statistical analysis in the identification of prognostic factors and to identify prognostic factors for mortality in cervical cancer.
Method: a case-control study was conducted on a population of women with clinical and histological diagnosis of cervical cancer attended at the Oncological Hospital of Santiago de Cuba from 2014 to 2017. Implicative statistical analysis was applied along with binary logistic regression, which was considered as gold standard to evaluate the performance of the proposed technique.
Results: both techniques identified age as a poor prognostic factor and chemotherapy as a good prognostic factor. Implicative statistical analysis identified metastasis as a poor prognostic factor, not detected by logistic regression, and supported the analysis with a series of graphs that helped to better understand the results obtained.
Conclusions: the usefulness of the statistical analysis is recognized and its routine use is proposed to improve the quality of these investigations. |
| first_indexed | 2024-04-12T14:18:33Z |
| format | Article |
| id | doaj.art-680f5d05f0b44323840b6bf7c869a4f5 |
| institution | Directory Open Access Journal |
| issn | 2709-7927 |
| language | Spanish |
| last_indexed | 2024-04-12T14:18:33Z |
| publishDate | 2021-02-01 |
| publisher | Editorial Ciencias Médicas |
| record_format | Article |
| series | Acta Médica del Centro |
| spelling | doaj.art-680f5d05f0b44323840b6bf7c869a4f52022-12-22T03:29:39ZspaEditorial Ciencias MédicasActa Médica del Centro2709-79272021-02-011521882031008Implicative statistical analysis in the identification of prognostic factors for cervical cancer mortalityNelsa María Sagaró del Campo0Larisa Zamora Matamoros1Universidad de Ciencias Médicas de Santiago de CubaUniversidad de OrienteIntroduction: the statistical techniques used for the identification of prognostic factors are multivariate; one of the most frequent is logistic regression. In this work another technique is proposed and to test it, cervical cancer is used as a health problem due to its high incidence and mortality. Objective: to evaluate the usefulness of implicative statistical analysis in the identification of prognostic factors and to identify prognostic factors for mortality in cervical cancer. Method: a case-control study was conducted on a population of women with clinical and histological diagnosis of cervical cancer attended at the Oncological Hospital of Santiago de Cuba from 2014 to 2017. Implicative statistical analysis was applied along with binary logistic regression, which was considered as gold standard to evaluate the performance of the proposed technique. Results: both techniques identified age as a poor prognostic factor and chemotherapy as a good prognostic factor. Implicative statistical analysis identified metastasis as a poor prognostic factor, not detected by logistic regression, and supported the analysis with a series of graphs that helped to better understand the results obtained. Conclusions: the usefulness of the statistical analysis is recognized and its routine use is proposed to improve the quality of these investigations.http://www.revactamedicacentro.sld.cu/index.php/amc/article/view/1123análisis estadístico implicativofactores pronósticoscausalidad en medicinatécnicas estadísticasregresión logísticacáncer cervicouterino |
| spellingShingle | Nelsa María Sagaró del Campo Larisa Zamora Matamoros Implicative statistical analysis in the identification of prognostic factors for cervical cancer mortality Acta Médica del Centro análisis estadístico implicativo factores pronósticos causalidad en medicina técnicas estadísticas regresión logística cáncer cervicouterino |
| title | Implicative statistical analysis in the identification of prognostic factors for cervical cancer mortality |
| title_full | Implicative statistical analysis in the identification of prognostic factors for cervical cancer mortality |
| title_fullStr | Implicative statistical analysis in the identification of prognostic factors for cervical cancer mortality |
| title_full_unstemmed | Implicative statistical analysis in the identification of prognostic factors for cervical cancer mortality |
| title_short | Implicative statistical analysis in the identification of prognostic factors for cervical cancer mortality |
| title_sort | implicative statistical analysis in the identification of prognostic factors for cervical cancer mortality |
| topic | análisis estadístico implicativo factores pronósticos causalidad en medicina técnicas estadísticas regresión logística cáncer cervicouterino |
| url | http://www.revactamedicacentro.sld.cu/index.php/amc/article/view/1123 |
| work_keys_str_mv | AT nelsamariasagarodelcampo implicativestatisticalanalysisintheidentificationofprognosticfactorsforcervicalcancermortality AT larisazamoramatamoros implicativestatisticalanalysisintheidentificationofprognosticfactorsforcervicalcancermortality |