How this model shoud be used:
This model aids healthcare professionals to evaluate breast cancer risk in patients with intraductal neoplasms with nipple discharge, and thus improve individual risk evaluation and clinical treatment planning.
Overall model performance:
The P-value of the Hosmer-Lemeshow test for the prediction model was 0.36. Area under the ROC curve values (c-indices) of 0.812 (95 % confidence interval (CI) 0.763-0.860) and 0.738 (95 % CI 0.635-0.841) were obtained in the training and validation sets, respectively. The accuracies of the nomogram for breast cancer diagnosis were 71.2 % in the training set and 75.5 % in the validation set.
Model limitations:
The underlying study was limited by the relatively small number of cases and bias associated with the retrospective nature of the study. Further prospective studies are therefore needed to validate the suitability of this nomogram for clinical applications.
Source:
Lian ZQ, Wang Q, Zhang AQ, et al. A nomogram based on mammary ductoscopic indicators for evaluating the risk of breast cancer in intraductal neoplasms with nipple discharge. Breast Cancer Res Treat. 2015;150(2):373-80.
This model 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.
With an Evidencio Community account you can:
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 models.
{{ (typeof row === 'object') ? row.label : row }} |
Please enter a password
A password has to be at least 8 characters.
A password cannot be longer then 64 characters.
Choose a password with at least one capital letter.
Choose a password with at least one special character (@$!%*#?&)
Please agree to the Terms & Conditions and the Disclaimer
Please provide your e-mail address and we'll send you a link to reset your password.
Email Address
Please enter a valid email
If an account was registered with this email address you will receive a recovery link in your mail.
Please use the reset password link in it to set your new password.
Didn't receive the email yet? Please check your spam folder, or resend the email.