• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

估算在患者生命的最后 30 天内开具系统癌症治疗药物的肿瘤医生的变异性。

Estimating oncologist variability in prescribing systemic cancer therapies to patients in the last 30 days of life.

机构信息

Rutgers University, New Brunswick, New Jersey, USA.

Harvard Medical School, Boston, Massachusetts, USA.

出版信息

Cancer. 2024 Nov 1;130(21):3757-3767. doi: 10.1002/cncr.35488. Epub 2024 Jul 30.

DOI:10.1002/cncr.35488
PMID:39077884
Abstract

INTRODUCTION

Clinical guidelines and quality improvement initiatives have identified reducing the use of end-of-life cancer therapies as an opportunity to improve care. We examined the extent to which oncologists differed in prescribing systemic therapies in the last 30 days of life.

METHODS

Using Surveillance, Epidemiology, and End Results-Medicare data, we identified patients who died of cancer from 2012 to 2017 (N = 17,609), their treating oncologists (N = 960), and the corresponding physician practice (N = 388). We used multilevel models to estimate oncologists' rates of providing cancer therapy for patients in their last 30 days of life, adjusted for patient characteristics and practice variation.

RESULTS

Patients' median age at the time of death was 74 years (interquartile range, 69-79); patients had lung (62%), colorectal (17%), breast (13%), and prostate (8%) cancers. We observed substantial variation across oncologists in their adjusted rate of treating patients in the last 30 days of life: oncologists in the 95th percentile exhibited a 45% adjusted rate of treatment, versus 17% among the 5th percentile. A patient treated by an oncologist with a high end-of-life prescribing behavior (top quartile), compared to an oncologist with a low prescribing behavior (bottom quartile), had more than four times greater odds of receiving end-of-life cancer therapy (OR, 4.42; 95% CI, 4.00-4.89).

CONCLUSIONS

Oncologists show substantial variation in end-of-life prescribing behavior. Future research should examine why some oncologists more often continue systemic therapy at the end of life than others, the consequences of this for patient and care outcomes, and whether interventions shaping oncologist decision-making can reduce overuse of end-of-life cancer therapies.

摘要

简介

临床指南和质量改进措施已经确定,减少临终癌症治疗的使用是改善护理的机会。我们研究了肿瘤学家在生命的最后 30 天内开具系统治疗药物的程度。

方法

使用监测、流行病学和最终结果-医疗保险数据,我们确定了 2012 年至 2017 年死于癌症的患者(N=17609)、他们的治疗肿瘤学家(N=960)和相应的医生实践(N=388)。我们使用多水平模型来估计肿瘤学家在患者生命的最后 30 天内提供癌症治疗的比率,调整了患者特征和实践差异。

结果

患者死亡时的中位年龄为 74 岁(四分位距,69-79);患者患有肺癌(62%)、结直肠癌(17%)、乳腺癌(13%)和前列腺癌(8%)。我们观察到肿瘤学家在调整后的最后 30 天内治疗患者的比率方面存在很大差异:第 95 百分位的肿瘤学家表现出 45%的调整后治疗率,而第 5 百分位的肿瘤学家则为 17%。与低处方行为(第 4 分位)的肿瘤学家相比,接受高临终处方行为(第 1 分位)的肿瘤学家治疗的患者接受临终癌症治疗的可能性要高出四倍以上(OR,4.42;95%CI,4.00-4.89)。

结论

肿瘤学家在临终处方行为方面存在很大差异。未来的研究应该研究为什么一些肿瘤学家比其他肿瘤学家更经常在生命的最后阶段继续进行系统治疗,这对患者和护理结果的影响,以及是否可以通过干预措施来影响肿瘤学家的决策,从而减少临终癌症治疗的过度使用。

相似文献

1
Estimating oncologist variability in prescribing systemic cancer therapies to patients in the last 30 days of life.估算在患者生命的最后 30 天内开具系统癌症治疗药物的肿瘤医生的变异性。
Cancer. 2024 Nov 1;130(21):3757-3767. doi: 10.1002/cncr.35488. Epub 2024 Jul 30.
2
The Impact of Radiation Oncologists on the Early Adoption of Hypofractionated Radiation Therapy for Early-Stage Breast Cancer.放疗肿瘤学家对早期采用适形分割放疗治疗早期乳腺癌的影响。
Int J Radiat Oncol Biol Phys. 2017 Mar 1;97(3):571-580. doi: 10.1016/j.ijrobp.2016.11.009. Epub 2016 Nov 15.
3
Generalists and oncologists show similar care practices and outcomes for hospitalized late-stage cancer patients. SUPPORT Investigators. Study to Understand Prognoses and Preferences for Outcomes and Risks for Treatment.对于住院的晚期癌症患者,全科医生和肿瘤学家的护理方式及治疗效果相似。支持性治疗研究组。了解预后及对治疗结果和风险的偏好的研究。
Med Care. 2000 Nov;38(11):1103-18. doi: 10.1097/00005650-200011000-00005.
4
Association of Physician Peer Influence With Subsequent Physician Adoption and Use of Bevacizumab.医生间的同行影响力与随后医生对贝伐珠单抗的采用和使用的关联。
JAMA Netw Open. 2020 Jan 3;3(1):e1918586. doi: 10.1001/jamanetworkopen.2019.18586.
5
Intensity of end-of-life care for gynecologic cancer patients by primary oncologist specialty.妇科癌症患者临终关怀的强度取决于主要肿瘤专家的专业特长。
Int J Gynecol Cancer. 2022 Jun 6;32(6):695-703. doi: 10.1136/ijgc-2021-003285.
6
Association of Oncologist Participation in Medicare's Oncology Care Model With Patient Receipt of Novel Cancer Therapies.肿瘤学家参与医疗保险的肿瘤治疗模式与患者接受新型癌症治疗的关联。
JAMA Netw Open. 2022 Sep 1;5(9):e2234161. doi: 10.1001/jamanetworkopen.2022.34161.
7
Recent Trends in Chemotherapy Use and Oncologists' Treatment Recommendations for Early-Stage Breast Cancer.近期化疗应用趋势及肿瘤学家对早期乳腺癌的治疗推荐。
J Natl Cancer Inst. 2018 May 1;110(5):493-500. doi: 10.1093/jnci/djx239.
8
Residual treatment disparities after oncology referral for rectal cancer.直肠癌肿瘤转诊后的残留治疗差异。
J Natl Cancer Inst. 2008 May 21;100(10):738-44. doi: 10.1093/jnci/djn145. Epub 2008 May 13.
9
Evaluation of Practice Patterns Among Oncologists Participating in the Oncology Care Model.评估参与肿瘤学照护模式的肿瘤学家的实践模式。
JAMA Netw Open. 2020 May 1;3(5):e205165. doi: 10.1001/jamanetworkopen.2020.5165.
10
Physician visits prior to treatment for clinically localized prostate cancer.临床局限性前列腺癌治疗前的医生问诊。
Arch Intern Med. 2010 Mar 8;170(5):440-50. doi: 10.1001/archinternmed.2010.1.