Pregnancy rate after ICSI-IVF cycle in patients with endometriosis - Evidencio
Pregnancy rate after ICSI-IVF cycle in patients with endometriosis
Although several scoring systems have been published to evaluate the pregnancy rate after ICSI–IVF in infertile patients, none of them are applicable for patients with deep infiltrating endometriosis (DIE) nor can they evaluate the chances of pregnancy for individual patients. This model predicts the clinical pregnancy rate in patients with endometriosis.
Autores de la investigación: Ballester M, Oppenheimer A, d"Argent EM, Touboul C, Antoine JM, Coutant C, Daraï E.
Versión: 1.8
  • Público
  • Ginecología
  • {{ 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

Probability of clinical pregnancy after an ICSI-IVF cycle:

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

Información condicional

This well-calibrated model predicts clinical pregnancy rates in infertile women with endometriosis. If these performances are confirmed after external validation, the model could be a useful and original tool to inform patients and to adapt the ART strategy.

Model performance: 
The nomogram was developed in a training cohort including 94 patients (141 cycles) and tested on an internal independent validation cohort including 48 patients (83 cycles). The model showed an AUC of 0.76 (95% CI: 0.7–0.8) in the training cohort, which denotes a good performance. Calibration was good with no significant maximal and average differences between the predicted probabilities and the observed frequencies. The AUC of the ROC curve in the validation set was 0.68 (95% CI: 0.6–0.75) indicating a fair performance. The calibration was acceptable.


Source: Ballester M, Oppenheimer A, d'Argent EM, Touboul C, Antoine JM, Coutant C, Daraï E. Nomogram to predict pregnancy rate after ICSI-IVF cycle in patients with endometriosis. Hum Reprod. 2012;27(2):451-456.

{{ 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.
Términos y Condiciones | Política de privacidad | Descargo de responsabilidad | Contacto | Rechazar cookies |
Evidencio v3.38 © 2015 - 2025 Evidencio. Todos los derechos reservados