Early prediction of chronic post surgical pain (CPSP) in adults - Evidencio
Early prediction of chronic post surgical pain (CPSP) in adults
Chronic post surgical pain (CPSP) is pain developed after a surgical procedure and persists at least three months. CPSP leads to significant disease burden and reduced quality of life. Difficulty of treating the transitioned pain has contributed to opioid analgesic overuse in some countries introducing an increased risk of misuse and abuse. Early identification of patients at risk of developing CPSP is an essential step in reducing pain chronification.
Autores de la investigación: Marjelle E. C. van Driel, Jacqueline F. M. van Dijk, Sara J. Baart, Winfried Meissner, Frank J. P. M. Huygen, Mienke Rijsdijk
Versión: 1.34
  • Público
  • Anestesiología
  • {{ modelType }}
  • Algoritmo
  • Detalles
  • Validate
  • Guardar entrada
  • Entrada de carga
  • {{ toolbarErrorMessage }}

Mostrar
Unidades

{{ section.title }}

{{ section.description }}

Calcular el resultado

Establezca más parámetros para realizar el cálculo

The predicted probability for CPSP within 3 months is .

{{ resultSubheader }}
{{ $t('download_result_availability') }}
slide-left-right {{ $t('scroll_chart') }}
{{ chart.title }}
Intervalo de resultados {{ additionalResult.min }} a {{ additionalResult.max }}

Información condicional

Su(s) entrada(s) de texto ha(n) sido modificada(s). Actualice su resultado. Actualizar

The outcome Chronic Post Surgical Pain (CPSP) was defined as pain with a Numeric Rating Scale (NRS) of 4 or higher 3 months after surgery. 


The model predicting the risk on postoperative day 1 showed an AUC of 0.71 (95% CI: 0.65 - 0.77) and adequate calibration on both internal and external validation

The model predicting the risk on postoperative day 14 showed an AUC of 0.82 (95% CI: 0.76 - 0.87) and adequate calibration on both internal and external validation

{{ 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 2026-11-15 21:48


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.