Cumulative incidence of heart failure in 5-year male and female Hodgkin lym - Evidencio
Cumulative incidence of heart failure in 5-year male and female Hodgkin lymphoma survivors based on dose model
The current model concerns one of the four models that were developed to predict the risk of heart failure (HF) and coronary heart disease (CHD) in 5-year survivors of Hodgkin Lymphoma (HL). 

For both outcomes (HF & CHD), a simple model and a dose model were developed where the dose models incorporated the dose of anthracycline and radiotherapy as variable options into the model. 

The current model is the dose model that predicts the risk of heart failure.

The other models can be accessed by clicking on the following links: 
Autores de la investigación: Simone de Vries, Miriam L. Haaksma, Katarzyna Jóźwiak, Michael Schaapveld, David C. Hodgson, Pieternella J. Lugtenburg, Augustinus D.G. Krol, Eefke J. Petersen, Dick Johan van Spronsen, Sameera Ahmed, Michael Hauptmann, Berthe M.P. Aleman, Flora E. van Leeuwen
Versión: 1.12
  • Público
  • Epidemiología
  • {{ modelType }}
  • Detalles
  • Validar algoritme
  • Guardar entrada
  • Entrada de carga
Mostrar
Unidades

{{ section.title }}

{{ section.description }}

Calcular el resultado

Establezca más parámetros para realizar el cálculo

Cumulative incidence: %

{{ resultSubheader }}
{{ $t('download_result_availability') }}
{{ chart.title }}
Intervalo de resultados {{ additionalResult.min }} a {{ additionalResult.max }}

Información condicional

{{ file.classification }}
PRO
Nota
Las notas sólo son visibles en la descarga de resultados y no serán guardadas por Evidencio

Este algoritme se proporciona con fines educativos, formativos e informativos. No debe utilizarse para apoyar la toma de decisiones médicas ni para prestar servicios médicos o de diagnóstico. Lea nuestro disclaimer.

Algoritmer subyacentes Parte de
Comentarios
Comentario
Escriba un comentario
Los comentarios son visibles para cualquiera

Comentarios sobre el algoritme

Aún no hay comentarios 1 comentario {{ model.comments.length }} Comentarios
En {{ comment.created_at }} {{ comment.user.username }} un autor ya no registrado escribió:
{{ comment.content }}
logo

Inicia sesión para activar las funciones de impresión de Evidencio

Para poder utilizar las funciones de impresión de Evidencio, debe estar conectado.
Si no tiene una cuenta de la Comunidad Evidencio puede crear su cuenta personal gratuita en:

https://www.evidencio.com/registration

Resultados impresos - Ejemplos {{ new Date().toLocaleString() }}


Beneficios de la Cuenta Comunitaria Evidencio


With an Evidencio Community account you can:

  • Create and publish your own prediction algorithms.
  • Share your prediction algorithms with your colleagues, research group, organization or the world.
  • Review and provide feedback on algorithms that have been shared with you.
  • Validate your algorithms and validate algorithms from other users.
  • Find algorithms based on Title, Keyword, Author, Institute, or MeSH classification.
  • Use and save prediction algorithms and their data.
  • Use patient specific protocols and guidelines based on sequential algorithms and decision trees.
  • Stay up-to-date with new algorithms in your field as they are published.
  • Create your own lists of favorite algorithms and topics.

A personal Evidencio account is free, with no strings attached!
Join us and help create clarity, transparency, and efficiency in the creation, validation, and use of medical prediction algorithms.


Descargo de responsabilidad: Los cálculos por sí solos nunca deben dictar la atención al paciente, y no sustituyen al juicio profesional.
Evidencio v3.39 © 2015 - 2025 Evidencio. Todos los derechos reservados