使用参数共享虚弱模型比较分析埃塞俄比亚阿姆哈拉地区三家选定政府转诊医院的妇女乳腺癌生存时间。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-05-29 eCollection Date: 2024-01-01 DOI:10.2147/BCTT.S447684
Seid Fentaw, Anteneh Asmare Godana, Dawit Abathun, Dessie Melese Chekole
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引用次数: 0

摘要

背景:每五个人中就有一人最终会罹患癌症,每十一名妇女中就有一人会因癌症而丧生。本研究的主要目的是利用适当的虚弱模型确定乳腺癌女性患者的生存时间:2018年至2020年期间,利用Felege-Hiwot转诊医院、贡德尔大学和Dessie转诊医院的医疗记录,开展了一项涉及632名埃塞俄比亚女性乳腺癌患者的研究。为比较存活率,采用了卡普兰-梅耶图(s)和对数秩检验;为评估平均存活率,采用了单因素方差分析和 t 检验。使用参数共享虚弱模型和加速失败时间模型确定了影响妇女乳腺癌生存时间的因素:结果:在FHRH、UoGCSH和DRH接受治疗的乳腺癌患者的中位死亡时间分别为14.91个月、11.14个月和12.32个月。共同虚弱参数模型符合单变量分析中具有统计学意义的患者。结果表明,年龄、肿瘤大小、合并症、结节状态、分期、组织学分级和初治类型对乳腺癌妇女的生存期有显著影响。在比较不同医院的平均生存时间时,结果显示出明显的差异;在弗吉尼亚赫尔辛基医院接受治疗的患者的生存时间明显长于在格拉斯哥大学附属加利福尼亚医院和格拉斯哥大学医学院附属加利福尼亚医院接受治疗的患者,而在格拉斯哥大学附属加利福尼亚医院接受治疗的患者的生存时间则相对较短。IV期和合并症妇女的预期生存期分别缩短了22.4%和27.1%:这一结果表明,改善放射治疗和手术的可用性和可及性、消除医院之间的差异、提高对乳腺癌早期症状和体征的认识并鼓励妇女寻求临床帮助,以及在诊断时重点关注有合并症的妇女,是延长生存时间的重要途径。
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Comparative Analysis of Women's Breast Cancer Survival Time at Three Selected Government Referral Hospitals in Ethiopia's Amhara Region Using Parametric Shared Frailty Models.

Background: One in five people will eventually develop cancer, and one in eleven women will lose their lives to the disease. The main aim of this study is to determinants of survival time of women with breast cancer using appropriate Frailty models.

Methods: A study involving 632 Ethiopian women with breast cancer was conducted between 2018 and 2020, utilizing medical records from Felege-Hiwot Referral Hospital, the University of Gondar, and Dessie Referral Hospital. To compare survival, the Kaplan-Meier plot (s) and Log rank test were employed; to assess mean survival, one-way analysis of variance and the t test were utilized. The factors influencing women's survival times from breast cancer were identified using the parametric shared frailty model and the accelerated failure time model.

Results: The median time to die for breast cancer patients treated at FHRH, UoGCSH, and DRH was 14.91 months, 11.14 months, and 12.32 months, respectively. The parametric model of shared frailty fit those who were statistically significant in univariate analysis. The results showed that survival of women with breast cancer was significantly influenced by age, tumor size, comorbidity, nodal status, stage, histologic grade, and type of primary treatment initiated. When comparing mean survival times between hospitals, the results showed a significant difference; patients who were treated in FHRH live significantly longer than patients treated in UoGCSH and DRH, whereas patients treated in UoGCSH have comparatively lower survival. Women with stage IV and comorbidities have 22.4% and 27.1% shorter expected survival, respectively.

Conclusion: This finding suggests that improving the availability and accessibility of radiation therapy and surgery, eliminating disparities between hospitals, raising awareness of early signs and symptoms of breast cancer and encouraging women to seek clinical help, and highlighting women with comorbidities at diagnosis are important ways to increase survival time.

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