Development of a risk prediction model for personalized assessment of postoperative recurrence risk in colon cancer patients
Jing-Jing Zhang, Ya-Meng Liu, Ya-Wei Li, Zheng-Quan Han · 2024
Read Development of a risk prediction model for personalized assessment of postoperative recurrence risk in colon cancer patients by Jing-Jing Zhang, Ya-Meng Liu, Ya-Wei Li, Zheng-Quan Han (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11651794.txt.
Description
Jing-Jing Zhang and co-authors published a study in 2024 developing a risk prediction model for personalized assessment of recurrence after surgery in colon cancer patients. Colon cancer frequently recurs after surgery. Recurrence is most common when the cancer was found at an intermediate or advanced stage. A reliable prediction tool allows care to be tailored to each patient.
The researchers analyzed 209 patients treated at their hospital in 2020 and 2021. They compared patients whose cancer recurred with those whose did not, characteristic by characteristic. Four factors stood out as independent risks. They were the most advanced stage of all, spread to the lymph nodes, and high blood levels of two markers. One of those markers is a sign of inflammation, and the other is shed by the tumor itself. Those four factors feed the prediction chart.
Catalog record
| CREATOR | Jing-Jing Zhang, Ya-Meng Liu, Ya-Wei Li, Zheng-Quan Han |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 24 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |