Development of a robust predictive model for neutropenia after esophageal cancer chemotherapy using GLMMLasso
We have developed a predictive model with high performance using GLMMLasso. Our nomogram can represent risk visually and may facilitate the assessment of the probability of chemotherapy-induced severe neutropenia in clinical practice.
Authors
- Itsuko Ishii
- Eiryo Kawakami (ORCID: https://orcid.org/0000-0001-9955-4342)
- Takaaki Suzuki (ORCID: https://orcid.org/0000-0003-4812-9420)
- Masashi Uchida (ORCID: https://orcid.org/0000-0002-3171-9208)
- Shigeru Sugaya
Institutions
- Chiba University (JP)
- Chiba University Hospital (JP)
Publication Details
- Journal
- International Journal of Clinical Pharmacy
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1007/s11096-024-01836-5
- Citations
- 2
- Primary Topic
- Neutropenia and Cancer Infections
- Type
- article
- Field-Weighted Citation Impact
- 0.57
Funders
- Japan Society for the Promotion of Science
- Japan Science and Technology Agency
- Moonshot Research and Development Program