Predicting postoperative acute kidney injury after colorectal cancer surgery: development and internal validation of a clinical prediction model using a nationwide cohort
Mads Skovsgaard, Philip V Munch, Uffe Heide-Jørgensen, Lene H Iversen, Christian F Christiansen · 2026
Read Predicting postoperative acute kidney injury after colorectal cancer surgery: development and internal validation of a clinical prediction model using a nationwide cohort by Mads Skovsgaard, Philip V Munch, Uffe Heide-Jørgensen, Lene H Iversen, Christian F Christiansen (2026) 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-13555295.txt.
Description
Mads Skovsgaard and co-authors built a risk model in 2026 for kidney injury after bowel cancer surgery. Sharp kidney harm strikes between eight and twenty of every hundred such patients within a week of surgery. It raises the risk of death and long illness.
Using a national Danish database, the team drew on all planned bowel cancer resections from 2015 to 2021. They built the model from facts known before surgery, such as age, other illness, drugs, and blood tests, then checked it within the same data. A sound model lets teams spot high-risk patients early and add steps that guard the kidneys.
Catalog record
| CREATOR | Mads Skovsgaard, Philip V Munch, Uffe Heide-Jørgensen, Lene H Iversen, Christian F Christiansen |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |