ArticleTranslational cancer research2026
Establishment of a model to predict the recurrence time of hormone receptor-positive/human epidermal growth factor receptor 2-negative breast cancer.
Article in Translational cancer research, 2026. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Background: For hormonal receptor-positive (HR Methods: In this study, the female patients with HR Results: A total of 639 patients treated in the hospital between April 2007 and October 2019 were included. Median age of these patients at the initial diagnosis of primary tumors was 47 years old. Among them, 382 patients (59.8%) were presented with early recurrence (DFS ≤5 years), and 257 patients (40.2%) were presented with late recurrence (DFS >5 years). The median DFS was 50.0 months. Both univariate and multivariate analyses showed that a higher level of Ki-67 (P=0.005, 0.003) and more positive lymph nodes (P=0.003, 0.021) were associated with shorter DFS. A nomogram based on potentially associated clinicopathological factors was constructed and validation results showed that the nomogram was well-calibrated to predict the recurrence time of these patients (AUC =0.703, C-index =0.697). Conclusions: A well-calibrated nomogram is constructed using the data of clinicopathological factors obtained from 639 HR
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