ClinicalTrials.gov
public full text
Public Domain
Identification of Regional Epidemiological Characteristics and Key Prognostic Factors of Colorectal Cancer in Xinjiang and Shandong
This is a multicenter, retrospective, cross-sectional observational study aiming to investigate the 5-year overall survival (OS) rate of colorectal cancer (CRC) patients in Xinjiang and Shandong provinces of China. A total of no less than 500 pathologically confirmed CRC patients from 7 medical centers during January 1, 2016 to December 31, 2020 will be enrolled. We will collect and analyze the demographic characteristics, lifestyle, clinical pathological features, treatment patterns and survival prognosis data of patients, explore the regional differences of CRC and its key prognostic factors, and construct a CRC prognostic prediction model. The results will provide theoretical guidance for clinical practice and the formulation of public health policies.
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
- The Epidemiology of colorectal cancer in Guangzhou, China: A cross-sectional and age-period-cohort study.#251338
- The Epidemiology of colorectal cancer in Guangzhou, China: A cross-sectional and age-period-cohort study#248065
- Life Expectancy-informed Colorectal Cancer Screening#882477
- Image 1_Machine learning models for predicting liver cancer: a real-world cohort study in China.tiff#669783
- Table 4_Machine learning models for predicting liver cancer: a real-world cohort study in China.docx#669787
Record · ID 1096284
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive