Conditional survival in patients with resectable esophageal cancer - Evidencio
Conditional survival in patients with resectable esophageal cancer
Most provided survival rates in current literature are static, calculated from the day of surgery. But as time proceeds after surgery, the risk of death in esophageal cancer patients changes. Conditional survival accounts for the time already survived after surgery and may be informative in addition to conventional estimates during follow-up. This nomogram shows an accurate prediction of survival in patients after esophageal cancer surgery, taking the years already survived after surgery into account. This nomogram can be helpful in counselling patients in the follow-up after surgery.
Auteurs: E.R.C. Hagens, MD, M.L. Feenstra, MD, W.J. Eshuis, MD, PhD , M.C.C.M. Hulshof, MD, PhD, H.W.M. van Laarhoven, MD, PhD, M.I. van Berge Henegouwen, MD, PhD, S.S. Gisbertz, MD, PhD
Versie: 1.28
  • Publiek
  • Oncologie
  • {{ modelType }}
  • Details
  • Valideer algoritme
  • Bewaar invoer
  • Laad invoer
Weergave
Eenheden

{{ section.title }}

{{ section.description }}

Bereken het resultaat

Vul meer parameters in om de berekening uit te voeren

Probability of survival 5-years after neoadjuvant chemoradiation and esophageal resection is %, given the number of years already survived

{{ resultSubheader }}
{{ $t('download_result_availability') }}
{{ chart.title }}
Resultaat interval {{ additionalResult.min }} tot {{ additionalResult.max }}

Conditionele informatie

This model calculates 5-year survival after neoadjuvant chemoradiation (CROSS regimen1) and esophagectomy in patients with esophageal cancer. 

Model performance:
Predictive factors for death in patients with esophageal carcinoma included in the nomogram were: cN+ (HR 1.31, 95%CI 1.01 – 1.69), ypT-stage (HR for ypT1 1.19, 95%CI 0.79 – 1.80, p=0.441; and ypT2-3 in relation to ypT0 1.50, 95%CI 1.07 – 2.11, p=0.020), ypN-stage (HR 2.51, 95%CI 1.89 – 3.31; HR 3.14, 95%CI 2.25 – 4.36 and HR 6.34, 95%CI 4.16 – 9.58, respectively for ypN1, ypN2, ypN3 with ypN0 as reference), cardiovascular comorbidity (HR 1.37, 95%CI 1.08 – 1.71), chyle leak (HR 1.51, 95%CI 1.07 – 2.11) and pulmonary complications (HR 1.53, 95%CI 1.20 – 1.94). The C-statistic was 0.70 (0.69 to 0.70).

Source:
A reference to the published paper will be placed here.
(Accepted in British Journal of Surgery, DOI: 10.1002/bjs.11476)


References:
1. van Hagen P, Hulshof MCCM, van Lanschot JJB, et al. Preoperative Chemoradiotherapy for Esophageal or Junctional Cancer. N Engl J Med. 2012;366(22):2074-2084. doi:10.1056/NEJMoa1112088.
2. Rice TW, Patil DT, Blackstone EH. 8th edition AJCC/UICC staging of cancers of the esophagus and esophagogastric junction: application to clinical practice. Ann Cardiothorac Surg. 2017 Mar; 6(2): 119–130.

{{ file.classification }}
PRO
Notitie
Notities zijn alleen zichtbaar in de resultaat download en worden niet opgeslagen door Evidencio

Dit algoritme wordt verstrekt voor educatieve, opleidings- en informatieve doeleinden. Het mag niet worden gebruikt ter ondersteuning van medische besluitvorming, of om medische of diagnostische diensten te verlenen. Lees onze volledige disclaimer.

Onderliggende algoritmes Onderdeel van
Opmerkingen
Opmerking
Vul een opmerking in.
Opmerkingen zijn voor iedereen zichtbaar

Algoritme feedback

Nog geen feedback 1 Opmerking {{ model.comments.length }} Opmerkingen
Op {{ comment.created_at }} {{ comment.user.username }} een niet langer geregistreerde auteur schreef:
{{ comment.content }}
logo

Log a.u.b. in om de Evidencio print-functies te gebruiken

Om de Evidencio print-functies te kunnen gebruiken dient u ingelogt te zijn.
Indien u nog geen Evidencio Community Account heeft kunt u eenvoudig een persoonlijk account aanmaken op:

https://www.evidencio.com/registration

Print rapport - Voorbeelden {{ new Date().toLocaleString() }}


Evidencio Community Account voordelen


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.


Disclaimer: Predictie algoritmes dienen enkel ter ondersteuning en naslag geraadpleegd te worden en zijn geen vervanging voor medische besluitvorming door professionals.
Evidencio v3.38 © 2015 - 2025 Evidencio. Alle rechten voorbehouden