ArticleTherapeutic advances in drug safety2025
Development and validation of a risk-prediction model for adverse drug reactions in real-world cancer patients treated with anlotinib.
Article in Therapeutic advances in drug safety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The risk factors related to the adverse drug reactions (ADRs) of anlotinib have been rarely investigated. In addition, a corresponding risk prediction model has not been established in China pertaining to anlotinib-related ADRs. Objectives: To manage ADRs more efficiently and improve the prognosis of patients administered anlotinib. Design: A retrospective analysis was conducted using the medical records of patients diagnosed with cancer who were administered anlotinib after hospitalization between January 1, 2020, and December 31, 2023. Methods: We performed a combination of univariate analysis and multivariate binary logistic regression analysis to identify significant factors that can accurately predict ADRs. Model fitting was performed using forward selection. The accuracy of the prediction model was expressed as the area under the receiver operating characteristic curve (AUC). The final ADR risk model was validated. Results: In this study, 300 patients who were administered anlotinib were included. Among them, 238 (79.33%) patients experienced at least one ADR. Diagnosis, combination treatment, distant metastasis, treatment lines, and cumulative dose were independent risk factors for the ADRs of anlotinib. The AUC and the concordance index of the nomogram constructed from the above five factors were 0.790 and 0.789, respectively. The results of the Hosmer-Lemeshow test showed that the model was a good fit ( Conclusion: We developed and validated a simple model to use the ADR risk score in patients who were administered anlotinib. This risk prediction model was well-calibrated and discriminative. It can be used as a reference for clinical decision-making. It has clinical significance for preventing ADRs, improving the prognosis of patients, and providing support for the rational use of drugs.
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