改善癌症患者预后和成本效益:改进早期检测、副作用管理和姑息治疗的马尔科夫模拟。

IF 1.8 4区医学 Q3 ONCOLOGY

Cancer Investigation Pub Date : 2023-12-01 Epub Date: 2024-01-02 DOI:10.1080/07357907.2023.2287485

Raphael E Cuomo

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引用次数: 0

摘要

我们采用马尔可夫模型来模拟1000名假设患者的队列结果，比较十年来早期检测、副作用管理和姑息治疗的改善。该模型在早期发现和主动健康管理、提高疾病稳定性和降低死亡率方面显示出益处。该方案的5年生存率为85.8%，而标准方案为69.5%。成本效益分析显示，成本显著降低，质量调整寿命年显著提高。我们的发现强调了综合癌症治疗的重要性。这些改进不仅降低了模拟医疗保健成本，而且显著改善了患者的治疗效果。

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Improving Cancer Patient Outcomes and Cost-Effectiveness: A Markov Simulation of Improved Early Detection, Side Effect Management, and Palliative Care.

I employed a Markov model to simulate outcomes for a cohort of 1,000 hypothetical patients, comparing improvements in early detection, side effect management, and palliative care over a ten-year period. This model showed benefits in early detection and proactive health management, improving disease stability and reducing mortality rates. This protocol resulted in an 85.8% five-year survival rate, compared to 69.5% under standard protocol. Cost-effectiveness analysis showed significantly reduced costs and improved quality-adjusted life years. Our findings underscore the importance of comprehensive cancer care. These improvements not only reduce simulated healthcare costs but also significantly improve patient outcomes.

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来源期刊

Cancer Investigation 医学-肿瘤学

CiteScore

3.80

自引率

4.20%

发文量

审稿时长

8.5 months

期刊介绍： Cancer Investigation is one of the most highly regarded and recognized journals in the field of basic and clinical oncology. It is designed to give physicians a comprehensive resource on the current state of progress in the cancer field as well as a broad background of reliable information necessary for effective decision making. In addition to presenting original papers of fundamental significance, it also publishes reviews, essays, specialized presentations of controversies, considerations of new technologies and their applications to specific laboratory problems, discussions of public issues, miniseries on major topics, new and experimental drugs and therapies, and an innovative letters to the editor section. One of the unique features of the journal is its departmentalized editorial sections reporting on more than 30 subject categories covering the broad spectrum of specialized areas that together comprise the field of oncology. Edited by leading physicians and research scientists, these sections make Cancer Investigation the prime resource for clinicians seeking to make sense of the sometimes-overwhelming amount of information available throughout the field. In addition to its peer-reviewed clinical research, the journal also features translational studies that bridge the gap between the laboratory and the clinic.