• 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

比较不同风险调整模型在评估食管癌经胸食管切除术患者短期手术结局中的作用。

Comparison of different risk-adjustment models in assessing short-term surgical outcome after transthoracic esophagectomy in patients with esophageal cancer.

机构信息

Department of Surgery/Surgical Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, PO Box 30001, 9700 RB Groningen, The Netherlands.

出版信息

Am J Surg. 2011 Sep;202(3):303-9. doi: 10.1016/j.amjsurg.2011.04.003.

DOI:10.1016/j.amjsurg.2011.04.003
PMID:21871985
Abstract

BACKGROUND

Different risk-prediction models have been developed, but none is generally accepted in selecting patients for esophagectomy. This study evaluated 5 most frequently used risk-prediction models, including the American Society of Anesthesiologists, Portsmouth-modified Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (P-POSSUM), and the adjusted version for Oesophagogastric surgery (O-POSSUM), Charlson and the Age adjusted Charlson score to assess postoperative mortality after transthoracic esophagectomy.

METHODS

Data were obtained from 278 consecutive esophageal cancer patients between 1991 and 2007. Performance in predicting postoperative mortality (in-hospital and 90-day mortality) were analyzed regarding calibration (Hosmer and Lemeshow goodness-of-fit test) and discrimination (area under the receiver operator curve).

RESULTS

The Hosmer and Lemeshow goodness-of-fit test was applied to each model and showed a significant outcome for only the P-POSSUM score (P = .035). The receiver operator curve indicated discriminatory power for P-POSSUM (.766) and for O-POSSUM (.756), other models did not exceed the minimal surface of .7.

CONCLUSIONS

Postoperative mortality after esophagectomy was best predicted by O-POSSUM. However, it still overpredicted postoperative mortality.

摘要

背景

已经开发了不同的风险预测模型,但没有一个模型被普遍接受用于选择接受食管切除术的患者。本研究评估了 5 种最常用的风险预测模型,包括美国麻醉医师协会、朴茨茅斯改良生理和手术严重程度评分用于死亡率和发病率的枚举(P-POSSUM),以及用于食管胃手术的调整版本(O-POSSUM)、Charlson 和年龄调整 Charlson 评分,以评估经胸食管切除术的术后死亡率。

方法

数据来自 1991 年至 2007 年期间的 278 例连续食管癌症患者。关于校准(Hosmer 和 Lemeshow 拟合优度检验)和判别力(接收者操作特征曲线下的面积),分析了预测术后死亡率(住院和 90 天死亡率)的表现。

结果

对每个模型应用了 Hosmer 和 Lemeshow 拟合优度检验,仅 P-POSSUM 评分显示出显著结果(P =.035)。接收者操作特征曲线表明 P-POSSUM(.766)和 O-POSSUM(.756)具有判别能力,其他模型未超过.7 的最小表面。

结论

O-POSSUM 可最好地预测食管切除术后的死亡率。然而,它仍然高估了术后死亡率。

相似文献

1
Comparison of different risk-adjustment models in assessing short-term surgical outcome after transthoracic esophagectomy in patients with esophageal cancer.比较不同风险调整模型在评估食管癌经胸食管切除术患者短期手术结局中的作用。
Am J Surg. 2011 Sep;202(3):303-9. doi: 10.1016/j.amjsurg.2011.04.003.
2
Comparison of P-POSSUM and O-POSSUM in predicting mortality after oesophagogastric resections.P-POSSUM与O-POSSUM在预测食管胃切除术后死亡率方面的比较。
Postgrad Med J. 2007 May;83(979):355-8. doi: 10.1136/pgmj.2006.053223.
3
Evaluation of POSSUM in patients with oesophageal cancer undergoing resection.对接受手术切除的食管癌患者进行POSSUM评估。
Br J Surg. 2002 Sep;89(9):1150-5. doi: 10.1046/j.1365-2168.2002.02179.x.
4
Evaluation of various POSSUM models for predicting mortality in patients undergoing elective oesophagectomy for carcinoma.评估各种POSSUM模型对接受择期食管癌切除术患者死亡率的预测能力。
Br J Surg. 2007 Sep;94(9):1172-8. doi: 10.1002/bjs.5793.
5
Evaluation of O-POSSUM in predicting in-hospital mortality after resection for oesophageal cancer.评估O-POSSUM在预测食管癌切除术后院内死亡率中的作用。
Br J Surg. 2007 Dec;94(12):1521-6. doi: 10.1002/bjs.5850.
6
Validation of the CR-POSSUM risk-adjusted scoring system for major colorectal cancer surgery in a single center.单中心结直肠癌大手术中CR-POSSUM风险调整评分系统的验证
Dis Colon Rectum. 2007 Feb;50(2):192-6. doi: 10.1007/s10350-006-797-6.
7
A comparison of POSSUM and GPS models in the prediction of post-operative outcome in patients undergoing oesophago-gastric cancer resection. POSSUM 和 GPS 模型在预测接受食管胃切除术的患者术后结果中的比较。
Ann Surg Oncol. 2011 Oct;18(10):2808-17. doi: 10.1245/s10434-011-1676-5. Epub 2011 Mar 24.
8
Assessment of different prognostic scores for early postoperative outcomes after esophagectomy.食管癌切除术后早期预后结果的不同预后评分评估
Chirurgia (Bucur). 2014 Jul-Aug;109(4):480-5.
9
Surgical mortality in patients with esophageal cancer: development and validation of a simple risk score.食管癌患者的手术死亡率:一种简单风险评分的制定与验证
J Clin Oncol. 2006 Sep 10;24(26):4277-84. doi: 10.1200/JCO.2005.05.0658.
10
Evaluation of P-POSSUM in surgery for obstructing colorectal cancer and correlation of the predicted mortality with different surgical options.P-POSSUM在梗阻性结直肠癌手术中的评估以及预测死亡率与不同手术方式的相关性
Dis Colon Rectum. 2005 Mar;48(3):493-8. doi: 10.1007/s10350-004-0766-x.

引用本文的文献

1
Combined and intraoperative risk modelling for oesophagectomy: A systematic review.食管癌切除术的联合及术中风险建模:一项系统评价。
World J Gastrointest Surg. 2023 Jul 27;15(7):1485-1500. doi: 10.4240/wjgs.v15.i7.1485.
2
Predictive Ability of Comorbidity Indices for Surgical Morbidity and Mortality: a Systematic Review and Meta-analysis.合并症指数对手术发病率和死亡率的预测能力:系统评价和荟萃分析。
J Gastrointest Surg. 2023 Sep;27(9):1971-1987. doi: 10.1007/s11605-023-05743-4. Epub 2023 Jul 10.
3
Preoperative risk modelling for oesophagectomy: A systematic review.
食管癌切除术的术前风险建模:一项系统评价。
World J Gastrointest Surg. 2023 Mar 27;15(3):450-470. doi: 10.4240/wjgs.v15.i3.450.
4
Impact of preoperative risk factors on outcome after gastrectomy.术前风险因素对胃切除术后结局的影响。
World J Surg Oncol. 2020 Jan 24;18(1):17. doi: 10.1186/s12957-020-1790-6.
5
Impact of Age and Comorbidity on Choice and Outcome of Two Different Treatment Options for Patients with Potentially Curable Esophageal Cancer.年龄和合并症对潜在可治愈食管癌患者两种不同治疗选择的选择和结果的影响。
Ann Surg Oncol. 2019 Apr;26(4):986-995. doi: 10.1245/s10434-019-07181-6. Epub 2019 Feb 4.
6
Prediction models for patients with esophageal or gastric cancer: A systematic review and meta-analysis.食管癌或胃癌患者的预测模型:系统评价与荟萃分析
PLoS One. 2018 Feb 8;13(2):e0192310. doi: 10.1371/journal.pone.0192310. eCollection 2018.
7
Patient Selection for Oesophagectomy: Impact of Age and Comorbidities on Outcome.食管癌切除术的患者选择:年龄和合并症对预后的影响。
World J Surg. 2015 Aug;39(8):1994-9. doi: 10.1007/s00268-015-3072-y.
8
Individual risk modelling for esophagectomy: a systematic review.
J Gastrointest Surg. 2014 Aug;18(8):1532-42. doi: 10.1007/s11605-014-2524-2. Epub 2014 Apr 24.