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.
Research authors: Ballester M, Oppenheimer A, d"Argent EM, Touboul C, Antoine JM, Coutant C, Daraï E.
Version: 1.8
  • Public
  • Gynaecology
  • {{ modelType }}
  • Details
  • Validate algorithm
  • Save input
  • Load input
Display
Units

{{section.title}}

Calculate the result

Set more parameters to perform the calculation

Probability of clinical pregnancy after an ICSI-IVF cycle:

{{ resultSubheader }}
{{ chart.title }}
Result interval {{ additionalResult.min }} to {{ additionalResult.max }}

Conditional information

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
Note
Notes are only visible in the result download and will not be saved by Evidencio

This algorithm is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.

Underlying algorithms Part of
Comments
Comment
Please enter a comment
Comments are visible to anyone

Algorithm feedback

No feedback yet 1 Comment {{ model.comments.length }} Comments
On {{ comment.created_at }} {{ comment.user.username }} a no longer registered author wrote:
{{ comment.content }}
logo

Please sign in to enable Evidencio print features

In order to use the Evidencio print features, you need to be logged in.
If you don't have an Evidencio Community Account you can create your free personal account at:

https://www.evidencio.com/registration

Printed results - Examples {{ new Date().toLocaleString() }}


Evidencio Community Account Benefits


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: Calculations alone should never dictate patient care, and are no substitute for professional judgement.
Evidencio v3.35 © 2015 - 2025 Evidencio. All Rights Reserved