A new online dynamic nomogram based on the inflammation burden index to predict cardiac injury after antitumor therapy in lung cancer patients
An online dynamic nomogram based on clinical and inflammatory markers was developed to predict cardiac injury in lung cancer patients following anti-tumor therapy. The model shows strong discriminative ability and potential clinical value, which can provide vital information for oncologists when designing customized clinical treatments.
Authors
- Wanling Wu (ORCID: https://orcid.org/0009-0001-8678-7048)
- Chunyan Huan (ORCID: https://orcid.org/0000-0002-2082-7270)
- Defeng Pan (ORCID: https://orcid.org/0000-0001-5877-2423)
- Huijuan Pu
- Xiuli Zhang (ORCID: https://orcid.org/0000-0001-7854-6466)
- Guodong Wang (ORCID: https://orcid.org/0000-0002-0422-8999)
- Jie Liu (ORCID: https://orcid.org/0000-0001-6035-0131)
- Yumin Wang (ORCID: https://orcid.org/0000-0003-4167-9411)
- Chengyang Li (ORCID: https://orcid.org/0000-0002-9331-8995)
- Yan Liu (ORCID: https://orcid.org/0000-0002-6515-5383)
Institutions
- Xuzhou Medical College (CN)
- Capital Medical University (CN)
Publication Details
- Journal
- Cardio-Oncology
- Published
- 2025-03-29
- DOI
- https://doi.org/10.1186/s40959-025-00328-3
- Primary Topic
- Chemotherapy-induced cardiotoxicity and mitigation
- Type
- article
- Field-Weighted Citation Impact
- 0.00