Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Development and Validation of a Post-operative Risk Of Local Recurrence Model Integrating Serology and Evalution (PROMISE) in Local Advanced Rectal Cancer Receiving Neoadjuvant Therapy: a Multicenter Study

Cai Zerong · 2010
ClinicalTrials.gov · Datasets · License: Public Domain · 2010
Open Source ↗
Local recurrence (LR) in locally advanced rectal cancer (LARC) correlated with poor survival and impaired quality of life. The aim of this study was to develop and validate machine learning (ML) models integrating clinicopathological features and inflammatory signature to predict LR in LARC patients undergoing neoadjuvant therapy followed by total mesorectal excision.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 908542
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive