<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1028-4818</journal-id>
<journal-title><![CDATA[Multimed]]></journal-title>
<abbrev-journal-title><![CDATA[Multimed]]></abbrev-journal-title>
<issn>1028-4818</issn>
<publisher>
<publisher-name><![CDATA[Centro Provincial de Información de Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1028-48182021000400006</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Identificación de posibles factores causales en salud aplicando la metodología &#8220;ASI-IMC&#8221;]]></article-title>
<article-title xml:lang="en"><![CDATA[Identification of possible causal factors in health applying the &#8220;ASI-IMC&#8221; methodology]]></article-title>
<article-title xml:lang="pt"><![CDATA[Identificação de possíveis fatores causais em saúde aplicando a metodologia &#8220;ASI-BMI&#8221;]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sagaró del Campo]]></surname>
<given-names><![CDATA[Nelsa María]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Zamora Matamoros]]></surname>
<given-names><![CDATA[Larisa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Bartutis Bonne]]></surname>
<given-names><![CDATA[Milka Tanya]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Ciencias Médicas de Santiago de Cuba  ]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Oriente  ]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Hospital Oncológico Conrado Benítez García de Santiago de Cuba  ]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2021</year>
</pub-date>
<volume>25</volume>
<numero>4</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1028-48182021000400006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1028-48182021000400006&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1028-48182021000400006&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Una vez diseñada la metodología ASI-IMC, que permite una correcta aplicación del análisis estadístico implicativo en los estudios de causalidad en medicina se aplicó la misma en dichos estudios. Se escogió como ejemplo un estudio de factores pronósticos de mortalidad en cáncer de mama. El objetivo es evaluar la efectividad de la metodología de empleo del análisis estadístico implicativo en la identificación de posibles factores causales. Se realizó un estudio observacional analítico prospectivo de tipo casos y controles anidado en una cohorte, cuyo universo de estudio quedó conformado por todas las mujeres mayores de 18 años de edad con el diagnóstico clínico e histológico de cáncer de mama, procedentes de la provincia de Santiago de Cuba, atendidas en el Hospital Oncológico &#8220;Conrado Benítez&#8221;, entre 2014 y 2019 con una muestra de 140 casos y 140 controles, empleando 25 covariables como supuestos factores pronósticos y aplicando las 5 primeras etapas de la metodología de empleo del análisis estadístico implicativo en los estudios de causalidad en medicina. Fueron identificados como factores de buen pronóstico en pacientes con cáncer de mama la determinación de los biomarcadores, mientras que, de mal pronóstico clasificaron el estadio avanzado y la quimioterapia de manera directa, así como el tamaño tumoral y la metástasis, de manera indirecta. La metodología empleada permitió la identificación de posibles factores causales en la investigación presentada, evidenciando una vez más su efectividad.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Once the &#8220;ASI-IMC&#8221; methodology that allows a correct application of the statistical analysis implicated in the causality studies in medicine was designed, it was applied in said studies. A study of prognostic factors of mortality in breast cancer was chosen as an example. In order to evaluate the effectiveness of the employment methodology of the statistical analysis implicit in the identification of possible causal factors; a prospective analytical observational study of cases and controls nested in a cohort was conducted, whose study universe was made up of all women over 18 years of age with the clinical and histological diagnosis of breast cancer, from the province from Santiago de Cuba, treated at the &#8220;Conrado Benítez&#8221; Oncology Hospital, between 2014 and 2019 with a sample of 140 cases and 140 controls, using 25 covariates as supposed prognostic factors and applying the first 5 stages of the employment methodology of the implicative statistical analysis in causation studies in medicine. Biomarker determination was identified as factors of good prognosis in breast cancer patients, while, of poor prognosis classified advanced stage and chemotherapy directly, as well as tumor size and metastasis, indirectly. The methodology used allowed the identification of possible causal factors in the research presented, demonstrating once again its effectiveness.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[RESUMO Uma vez desenhada a metodologia ASI-BMI, que permite uma correta aplicação da análise estatística implicativa nos estudos de causalidade em medicina, foi aplicada nos referidos estudos. Um estudo de fatores prognósticos para mortalidade no câncer de mama foi escolhido como exemplo. O objetivo é avaliar a eficácia da metodologia de utilização da análise estatística implicativa na identificação de possíveis fatores causais. Foi realizado um estudo observacional analítico prospectivo do tipo caso-controle aninhado em uma coorte, cujo universo de estudo foi constituído por todas as mulheres maiores de 18 anos com diagnóstico clínico e histológico de câncer de mama, da província de Santiago de Cuba. , atendidos no Hospital Oncológico "Conrado Benítez", entre 2014 e 2019 com uma amostra de 140 casos e 140 controles, utilizando 25 covariáveis como supostos fatores prognósticos e aplicando as 5 primeiras etapas da metodologia de uso da análise estatística implicativa na causalidade estudos em medicina. A determinação dos biomarcadores foi identificada como fatores de bom prognóstico em pacientes com câncer de mama, enquanto o estágio avançado e a quimioterapia foram classificados diretamente como de mau prognóstico, assim como o tamanho do tumor e metástases, indiretamente. A metodologia utilizada permitiu a identificação de possíveis fatores causais nas pesquisas apresentadas, demonstrando mais uma vez sua eficácia.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Análisis estadístico implicativo]]></kwd>
<kwd lng="es"><![CDATA[Factores pronósticos]]></kwd>
<kwd lng="es"><![CDATA[Cáncer de mama]]></kwd>
<kwd lng="en"><![CDATA[Implicit statistical analysis]]></kwd>
<kwd lng="en"><![CDATA[Prognostic factors]]></kwd>
<kwd lng="en"><![CDATA[Breast cancer]]></kwd>
<kwd lng="pt"><![CDATA[Análise estatística implicativa]]></kwd>
<kwd lng="pt"><![CDATA[Fatores prognósticos]]></kwd>
<kwd lng="pt"><![CDATA[Câncer de mama]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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<given-names><![CDATA[BS]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Breast-Cancer Tumor Size, Overdiagnosis, and Mammography Screening Effectiveness]]></article-title>
<source><![CDATA[N Engl J Med]]></source>
<year>2016</year>
<volume>375</volume>
<page-range>1438-47</page-range></nlm-citation>
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</back>
</article>
