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    Online tools to predict individualised survival for primary oesophageal cancer patients with and without pathological complete response after neoadjuvant therapy followed by oesoph... by Jie Zhang, Xiang Chen, Dong Dong, Lijie Tan, Yajie Zhang, Hecheng Li, Yuqin Cao, Binhao Huang, Han Tang, Tianzheng Shen, Xijia Feng, Jiahao Zhang, Liqiang Shi, Chengqiang Li, Heng Jiao

    Published 2024-07-01
    “…Key predictors included demographic characteristics, pretreatment clinical stage, surgical approach, pathological information and postoperative treatments. The predictive models for pCR and non-pCR patients demonstrated good calibration and clinical utility, with acceptable discrimination that surpassed that of the current tumour, node, metastases staging system.Conclusions The web-based dynamic nomograms for pCR (https://predict-survival.shinyapps.io/pCR-eso/) and non-pCR patients (https://predict-survival.shinyapps.io/non-pCR-eso/) developed in this study can facilitate the calculation of OS probability for individual patients undergoing neoadjuvant therapy and radical oesophagectomy, aiding clinicians and patients in making personalised treatment decisions.…”
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    Efficacy of digital educational intervention using I-Change model in promoting preventive behaviors for cervical cancer among Iranian women: A randomized controlled trial by Sara Kazemi, Fatemeh Zarei, Alireza Hidarnia, Fatemeh Alhani

    Published 2025-05-01
    “…This study evaluated the effectiveness of a digital educational intervention based on the I-Change model in promoting preventive behaviors among Iranian women. …”
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