Predictive Nomogram for Outcomes

A nomogram was constructed to predict specific outcomes based on the IRRS and clinical variables using the rms package (38 ). ROC curves, calibration curves, and decision curve analysis (DCA) curves were drawn to verify the reliability of the nomogram. In addition, the nomogram was compared with the traditional TNM staging system by calculating the integrated discrimination improvement (IDI). Finally, the Dynnom package (cran.r-project.org/web/packages/rms) was used to generate an online version of the nomogram model with an interactive interface for clinical applications.

Free full text: Click here

Li M., Long X., Bu W., Zhang G., Deng G., Liu Y., Su J, & Huang K. (2023). Immune-related risk score: An immune-cell-pair-based prognostic model for cutaneous melanoma. Frontiers in Immunology, 14, 1112181.

Publication 2023

Discrimination Irrs

Corresponding Organization : Central South University

Other organizations : Peking University First Hospital, Peking University, Chinese Academy of Medical Sciences Dermatology Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College

Top 5 similar protocols

Variable analysis

independent variables

Clinical variables

dependent variables

Specific outcomes

control variables

Control variables not explicitly mentioned

positive controls

None mentioned

negative controls

None mentioned

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!