Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and Adolescents
<strong>Background:</strong> the implicative statistical analysis arose in the 80s to solve problems in the didactics of mathematics. Its use in the Medical Sciences to identify risk factors and prognoses was recently founded. <br /><strong>Objective:</strong> to evalua...
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| Language: | Spanish |
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Universidad de las Ciencias Médicas de Cienfuegos
2023-01-01
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| Online Access: | https://revfinlay.sld.cu/index.php/finlay/article/view/1205 |
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| author | Mayelyn Rodríguez Estenger Nelsa María Sagaró del Campo Larisa Zamora Matamoros Evelyn Yolanda Fundichely Vázquez |
| author_facet | Mayelyn Rodríguez Estenger Nelsa María Sagaró del Campo Larisa Zamora Matamoros Evelyn Yolanda Fundichely Vázquez |
| author_sort | Mayelyn Rodríguez Estenger |
| collection | DOAJ |
| description | <strong>Background:</strong> the implicative statistical analysis arose in the 80s to solve problems in the didactics of mathematics. Its use in the Medical Sciences to identify risk factors and prognoses was recently founded. <br /><strong>Objective:</strong> to evaluate the usefulness of the implicative statistical analysis in the identification of the prognostic factors that most affect mortality from lymphomas in children and adolescents. <br /><strong>Method:</strong> a case-control study was carried out in children and adolescents diagnosed with Hodgkin and non-Hodgkin lymphoma treated at the Dr. Antonio María Béguez César Sur Pediatric Teaching Hospital in Santiago de Cuba from January 2008 to January 2021. The state of the deceased or alive patient at the time of the study was analyzed as the dependent variable and the following were taken as covariates: poor prognosis stage, presence of B symptoms, histological subtype, presence of three or more extranodal sites, metastasis, age and presence of tumor mass. Two statistical techniques were applied: binary logistic regression and implicative statistical analysis. <br /><strong>Results:</strong> non-Hodgkin's lymphoma was more frequent in the cases, while Hodgkin's lymphoma predominated in the controls. Both techniques recognized the histological subtype and extranodal involvement as unfavorable prognostic factors. The implicative statistical analysis also recognized the stage and the presence of metastases. <br /><strong>Conclusion:</strong> the implicative statistical analysis is a technique that complements the binary logistic regression in the identification of prognostic factors, which allows a better understanding of causality. |
| first_indexed | 2024-03-07T23:26:38Z |
| format | Article |
| id | doaj.art-572f44f2c57c4161b1bc347ff995b18f |
| institution | Directory Open Access Journal |
| issn | 2221-2434 |
| language | Spanish |
| last_indexed | 2024-03-07T23:26:38Z |
| publishDate | 2023-01-01 |
| publisher | Universidad de las Ciencias Médicas de Cienfuegos |
| record_format | Article |
| series | Revista Finlay |
| spelling | doaj.art-572f44f2c57c4161b1bc347ff995b18f2024-02-21T02:59:21ZspaUniversidad de las Ciencias Médicas de CienfuegosRevista Finlay2221-24342023-01-01131918610Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and AdolescentsMayelyn Rodríguez Estenger0Nelsa María Sagaró del Campo1Larisa Zamora Matamoros2Evelyn Yolanda Fundichely Vázquez3Hospital General Docente Juan Bruno Zayas. Santiago de Cuba.Universidad de Ciencias Médicas de Santiago de Cuba. Santiago de Cuba.Universidad de Oriente. Santiago de Cuba.Hospital Docente Pediátrico Sur Dr. Antonio María Béguez César. Santiago de Cuba.<strong>Background:</strong> the implicative statistical analysis arose in the 80s to solve problems in the didactics of mathematics. Its use in the Medical Sciences to identify risk factors and prognoses was recently founded. <br /><strong>Objective:</strong> to evaluate the usefulness of the implicative statistical analysis in the identification of the prognostic factors that most affect mortality from lymphomas in children and adolescents. <br /><strong>Method:</strong> a case-control study was carried out in children and adolescents diagnosed with Hodgkin and non-Hodgkin lymphoma treated at the Dr. Antonio María Béguez César Sur Pediatric Teaching Hospital in Santiago de Cuba from January 2008 to January 2021. The state of the deceased or alive patient at the time of the study was analyzed as the dependent variable and the following were taken as covariates: poor prognosis stage, presence of B symptoms, histological subtype, presence of three or more extranodal sites, metastasis, age and presence of tumor mass. Two statistical techniques were applied: binary logistic regression and implicative statistical analysis. <br /><strong>Results:</strong> non-Hodgkin's lymphoma was more frequent in the cases, while Hodgkin's lymphoma predominated in the controls. Both techniques recognized the histological subtype and extranodal involvement as unfavorable prognostic factors. The implicative statistical analysis also recognized the stage and the presence of metastases. <br /><strong>Conclusion:</strong> the implicative statistical analysis is a technique that complements the binary logistic regression in the identification of prognostic factors, which allows a better understanding of causality.https://revfinlay.sld.cu/index.php/finlay/article/view/1205análisis estadísticofactores de riesgofactores pronósticosestadísticas de mortalidadlinfomas |
| spellingShingle | Mayelyn Rodríguez Estenger Nelsa María Sagaró del Campo Larisa Zamora Matamoros Evelyn Yolanda Fundichely Vázquez Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and Adolescents Revista Finlay análisis estadístico factores de riesgo factores pronósticos estadísticas de mortalidad linfomas |
| title | Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and Adolescents |
| title_full | Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and Adolescents |
| title_fullStr | Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and Adolescents |
| title_full_unstemmed | Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and Adolescents |
| title_short | Implicative Statistical Analysis to Identify Prognostic Factors for Mortality from Lymphomas in Children and Adolescents |
| title_sort | implicative statistical analysis to identify prognostic factors for mortality from lymphomas in children and adolescents |
| topic | análisis estadístico factores de riesgo factores pronósticos estadísticas de mortalidad linfomas |
| url | https://revfinlay.sld.cu/index.php/finlay/article/view/1205 |
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