Predictive Nomogram for Crohn's Disease Treatment Response, 218 Patients

218 patients with Crohn's disease from the First People's Hospital of Wuhu were included in a retrospective cohort study from January 2020 to June 2025. The dataset was used to develop and validate a predictive nomogram for clinical remission to biologics and targeted therapy. Author Ping Lin published the study on figshare under a CC-BY-4.0 license.

Use Cases

• Predicting clinical remission at 14 and 26 weeks based on patient variables like CDAI and disease duration.
• Comparing the effectiveness of different biologics, such as upadacitinib, using the identified nine predictive variables.
• Training a LASSO regression model for feature selection on clinical and demographic factors.
• Validating a nomogram model's performance using metrics like AUC, calibration curves, and decision curve analysis.

Strengths

• Includes data for 218 patients, providing a foundation for model development.
• Model validation includes internal validation with a reported C-index of 0.74.
• The study identifies nine specific predictive variables, including clinical indices and treatment type.

Limitations

• Row count for the underlying data table is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is from a single hospital, which may reflect geographic or institutional bias.

Provenance

Source

First People's Hospital of Wuhu

Collection Method

Retrospective cohort study

Time Range

January 2020 to June 2025

Freshness

Last updated 2026-04 16 05:18:01; freshness should be verified.

Geography

Wuhu, China (likely)