Development and validation of a predictive model for chronic pain after thoracoscopic pulmonary resection
Yue Shang, Chenyang Wang, Jiameng Wang, Wenlun Zhong, Changjun Gao · 2026
Read Development and validation of a predictive model for chronic pain after thoracoscopic pulmonary resection by Yue Shang, Chenyang Wang, Jiameng Wang, Wenlun Zhong, Changjun Gao (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/PMC13328369.txt.
Description
Yue Shang and co-authors build a risk model for lasting pain after keyhole lung surgery in a 2026 prospective study. Chronic postsurgical pain follows thoracoscopic lung removal in a sizable share of patients, yet no standard forecast tool exists. Data from 744 patients at one hospital were split into 595 for building and 149 for checking the model.
Pain lasting past three months struck 284 patients, 38.1 percent overall, and five factors entered the final model: gender, early postoperative pain level, postoperative pneumonia, chest drain duration, and rescue opioid dose. A personalized score could steer pain plans toward patients likeliest to hurt for months, rather than treating everyone alike after discharge.
Catalog record
| CREATOR | Yue Shang, Chenyang Wang, Jiameng Wang, Wenlun Zhong, Changjun Gao |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37041 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |