文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

癌症患者静脉血栓栓塞预测的 Khorana 评分:系统评价和荟萃分析。

The Khorana score for prediction of venous thromboembolism in cancer patients: a systematic review and meta-analysis.

机构信息

Tergooi Hospitals, Department of Internal Medicine, Hilversum, the Netherlands

Amsterdam UMC, University of Amsterdam, Department of Vascular Medicine, Amsterdam Cardiovascular Science, Amsterdam, the Netherlands.

出版信息

Haematologica. 2019 Jun;104(6):1277-1287. doi: 10.3324/haematol.2018.209114. Epub 2019 Jan 3.


DOI:10.3324/haematol.2018.209114
PMID:30606788
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6545838/
Abstract

We aimed to evaluate the performance of the Khorana score in predicting venous thromboembolic events in ambulatory cancer patients. Embase and MEDLINE were searched from January 2008 to June 2018 for studies which evaluated the Khorana score. Two authors independently screened studies for eligibility, extracted data, and assessed risk of bias. Additional data on the 6-month incidence of venous thromboembolism were sought by contacting corresponding authors. The incidence in each Khorana score risk group was estimated with random effects meta-analysis. A total of 45 articles and eight abstracts were included, comprising 55 cohorts enrolling 34,555 ambulatory cancer patients. For 27,849 patients (81%), 6-month follow-up data were obtained. Overall, 19% of patients had a Khorana score of 0 points, 64% a score of 1 or 2 points, and 17% a score of 3 or more points. The incidence of venous thromboembolism in the first six months was 5.0% (95%CI: 3.9-6.5) in patients with a low-risk Khorana score (0 points), 6.6% (95%CI: 5.6-7.7) in those with an intermediate-risk Khorana score (1 or 2 points), and 11.0% (95%CI: 8.8-13.8) in those with a high-risk Khorana score (3 points or higher). Of the patients with venous thromboembolism in the first six months, 23.4% (95%CI: 18.4-29.4) had been classified as high risk according to the Khorana score. In conclusion, the Khorana score can be used to select ambulatory cancer patients at high risk of venous thromboembolism for thromboprophylaxis; however, most events occur outside this high-risk group.

摘要

我们旨在评估 Khorana 评分在预测门诊癌症患者静脉血栓栓塞事件中的表现。从 2008 年 1 月至 2018 年 6 月,我们在 Embase 和 MEDLINE 上搜索了评估 Khorana 评分的研究。两位作者独立筛选研究的合格性,提取数据,并评估偏倚风险。通过联系相应的作者,寻求有关静脉血栓栓塞 6 个月发生率的额外数据。使用随机效应荟萃分析估计每个 Khorana 评分风险组的发生率。共纳入 45 篇文章和 8 篇摘要,共纳入 55 个队列,共 34555 名门诊癌症患者。对于 27849 名患者(81%),获得了 6 个月的随访数据。总体而言,19%的患者 Khorana 评分为 0 分,64%的患者评分为 1 分或 2 分,17%的患者评分为 3 分或更高。低危 Khorana 评分(0 分)患者静脉血栓栓塞事件发生率为 5.0%(95%CI:3.9-6.5),中危 Khorana 评分(1 分或 2 分)患者为 6.6%(95%CI:5.6-7.7),高危 Khorana 评分(3 分或更高)患者为 11.0%(95%CI:8.8-13.8)。在 6 个月内发生静脉血栓栓塞的患者中,23.4%(95%CI:18.4-29.4)根据 Khorana 评分被归类为高危。总之,Khorana 评分可用于选择静脉血栓栓塞高危的门诊癌症患者进行血栓预防;然而,大多数事件发生在高危组之外。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1b/6545838/9253c476e90c/1041277.fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1b/6545838/6f37ffc31e5f/1041277.fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1b/6545838/5066c16ef2ff/1041277.fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1b/6545838/9253c476e90c/1041277.fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1b/6545838/6f37ffc31e5f/1041277.fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1b/6545838/5066c16ef2ff/1041277.fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e1b/6545838/9253c476e90c/1041277.fig3.jpg

相似文献

[1]
The Khorana score for prediction of venous thromboembolism in cancer patients: a systematic review and meta-analysis.

Haematologica. 2019-1-3

[2]
The Khorana score for prediction of venous thromboembolism in cancer patients: An individual patient data meta-analysis.

J Thromb Haemost. 2020-8

[3]
External validation of the Khorana score for the prediction of venous thromboembolism in cancer patients: A systematic review and meta-analysis.

Int J Nurs Stud. 2024-11

[4]
The Khorana score and venous and arterial thrombosis in patients with cancer treated with immune checkpoint inhibitors: A Danish cohort study.

J Thromb Haemost. 2022-12

[5]
[Predicting the Incidence of Venous Thromboembolism Using the Khorana Score: A Literature Review].

Yakugaku Zasshi. 2021

[6]
Primary thromboprophylaxis in ambulatory cancer patients with a high Khorana score: a systematic review and meta-analysis.

Blood Adv. 2020-10-27

[7]
Risk stratification for the development of venous thromboembolism in hospitalized patients with cancer.

J Thromb Haemost. 2018-6-10

[8]
Validation of the Khorana score for predicting venous thromboembolism in 40 218 patients with cancer initiating chemotherapy.

Blood Adv. 2022-5-24

[9]
Comparison among three predictive models for cancer-associated thromboembolism in a hispanic population.

J Thromb Thrombolysis. 2023-10

[10]
The performance of Khorana risk score for prediction of venous thromboembolism in patients with lung cancer: A retrospective cohort study.

Tuberk Toraks. 2024-6

引用本文的文献

[1]
Efficacy of Factor Xa Inhibitors Versus Placebo in Thromboprophylaxis for Cancer-Associated Thromboembolism: A Systematic Review and Meta-analysis.

Clin Appl Thromb Hemost. 2025

[2]
Association of risk factors for venous thromboembolism and overall survival in lung cancer.

Blood Vessel Thromb Hemost. 2025-5-9

[3]
The Association Between Thromboembolic Events and ALK, ROS1, RET Rearrangements or EGFR Mutations in Patients With Advanced Lung Adenocarcinoma: A Retrospective Cohort Study.

Thorac Cancer. 2025-8

[4]
Platelets in Hepatocellular Carcinoma-From Pathogenesis to Targeted Therapy.

Cancers (Basel). 2025-7-18

[5]
Investigating serum levels of IL-6 and TNF alpha, and the risk of thrombosis in newly diagnosed chemotherapy naïve obese cancer patients.

Niger Med J. 2025-6-16

[6]
Predicting thrombotic risk in patients with classical Hodgkin lymphoma: Thro-HL multicenter study.

Hemasphere. 2025-7-13

[7]
Clonal hematopoiesis in patients with cancer and its association with risk of thrombosis and prognosis of disease.

Res Pract Thromb Haemost. 2025-5-8

[8]
The Role of Direct Oral Anticoagulants (DOACs) in Cancer-Associated Thrombosis: A Comprehensive Review of the Literature.

Cureus. 2025-5-12

[9]
Development, validation, and clinical utility of risk prediction models for cancer-associated venous thromboembolism: A retrospective and prospective cohort study.

Asia Pac J Oncol Nurs. 2025-3-22

[10]
Cancer-associated venous thromboembolism: a comprehensive review.

Thromb J. 2025-4-16

本文引用的文献

[1]
Implementation of an electronic medical record tool for early detection of deep vein thrombosis in the ambulatory oncology setting.

Res Pract Thromb Haemost. 2019-1-28

[2]
A clinical prediction model for cancer-associated venous thromboembolism: a development and validation study in two independent prospective cohorts.

Lancet Haematol. 2018-7

[3]
Khorana Score: Νew Predictor of Early Mortality in Patients With Lung Adenocarcinoma.

Clin Appl Thromb Hemost. 2018-11

[4]
Comparison of an Oral Factor Xa Inhibitor With Low Molecular Weight Heparin in Patients With Cancer With Venous Thromboembolism: Results of a Randomized Trial (SELECT-D).

J Clin Oncol. 2018-5-10

[5]
What Impact Does Venous Thromboembolism and Bleeding Have on Cancer Patients' Quality of Life?

Value Health. 2017-11-10

[6]
Evaluation of risk factors and assessment models for predicting venous thromboembolism in lung cancer patients.

Med Oncol. 2018-4-3

[7]
Multivariable clinical-genetic risk model for predicting venous thromboembolic events in patients with cancer.

Br J Cancer. 2018-3-28

[8]
Thromboembolic events in cancer patients on active treatment with cisplatin-based chemotherapy: another look!

Thromb J. 2018-3-1

[9]
Predictive factors of thromboembolic complications in patients with esophagogatric adenocarcinoma undergoing preoperative chemotherapy.

Acta Oncol. 2018-1-8

[10]
Edoxaban for the Treatment of Cancer-Associated Venous Thromboembolism.

N Engl J Med. 2017-12-12

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索