Estimate renal cell carcinoma recurrence rates using electronic health records

J. Hou, J. Wen, R. Bhattacharya, Z. Wang, S. Morini Sweet, W. Xu, A. Elfiky, L. Wang, R. Srivastava, J. Lu, V. Turzhitsky, R.R. McKay, G. Jayram, M. Sundaram, T. Cai, T. Cai · 2026

Read Estimate renal cell carcinoma recurrence rates using electronic health records by J. Hou, J. Wen, R. Bhattacharya, Z. Wang, S. Morini Sweet, W. Xu, A. Elfiky, L. Wang, R. Srivastava, J. Lu, V. Turzhitsky, R.R. McKay, G. Jayram, M. Sundaram, T. Cai, T. Cai (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-13094420.txt.

Description

BackgroundLack of readily available recurrence data has limited the use of electronic health records (EHR) for risk assessment of cancer recurrence and optimal patient management. This study aims to derive high-quality EHR recurrence data and estimate recurrence rates in overall population and specific subgroups.

Catalog record

CREATORJ. Hou, J. Wen, R. Bhattacharya, Z. Wang, S. Morini Sweet, W. Xu, A. Elfiky, L. Wang, R. Srivastava, J. Lu, V. Turzhitsky, R.R. McKay, G. Jayram, M. Sundaram, T. Cai, T. Cai
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE35 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13094420

Browse the full library · About the Tower of Babel