• 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

相似文献

1
Evaluating the ACS NSQIP Risk Calculator in Primary Pancreatic Neuroendocrine Tumor: Results from the US Neuroendocrine Tumor Study Group.评估 ACS NSQIP 风险计算器在原发性胰腺神经内分泌肿瘤中的应用:来自美国神经内分泌肿瘤研究组的结果。
J Gastrointest Surg. 2019 Nov;23(11):2225-2231. doi: 10.1007/s11605-019-04120-4. Epub 2019 Apr 2.
2
Can the American College of Surgeons Risk Calculator Predict 30-day Complications After Spine Surgery?美国外科医师学院风险计算器能否预测脊柱手术后 30 天的并发症?
Spine (Phila Pa 1976). 2020 May 1;45(9):621-628. doi: 10.1097/BRS.0000000000003340.
3
Rates of Serious Complications Estimated by the ACS-NSQIP Surgical Risk Calculator in Predicting Oncologic Outcomes of Patients Treated with Pancreaticoduodenectomy for Pancreatic Head Cancer.美国外科医师协会手术风险计算器预测胰头癌行胰十二指肠切除术患者的肿瘤学结局中严重并发症的发生率。
J Gastrointest Surg. 2019 Jun;23(6):1180-1187. doi: 10.1007/s11605-018-4041-1. Epub 2018 Nov 21.
4
Evaluating the ACS-NSQIP Risk Calculator in Primary GI Neuroendocrine Tumor: Results from the United States Neuroendocrine Tumor Study Group.评估原发性胃肠道神经内分泌肿瘤中的美国外科医师学会国家外科质量改进计划(ACS-NSQIP)风险计算器:来自美国神经内分泌肿瘤研究组的结果。
Am Surg. 2019 Dec 1;85(12):1334-1340.
5
Predictive value of the ACS NSQIP calculator for head and neck reconstruction free tissue transfer.ACS NSQIP 计算器对头颈部重建游离组织转移的预测价值。
Laryngoscope. 2020 Mar;130(3):679-684. doi: 10.1002/lary.28195. Epub 2019 Jul 30.
6
Predictive validity of American College of Surgeons: National Surgical Quality Improvement Project risk calculator in patients with ovarian cancer undergoing interval debulking surgery.美国外科医师学院:国家外科质量改进计划风险计算器在接受间隔减瘤手术的卵巢癌患者中的预测有效性。
Int J Gynecol Cancer. 2021 Oct;31(10):1356-1362. doi: 10.1136/ijgc-2021-002772. Epub 2021 Sep 13.
7
Assessment of the Addition of Hypoalbuminemia to ACS-NSQIP Surgical Risk Calculator in Colorectal Cancer.评估低白蛋白血症添加至结直肠癌ACS-NSQIP手术风险计算器中的情况。
Medicine (Baltimore). 2016 Mar;95(10):e2999. doi: 10.1097/MD.0000000000002999.
8
Assessment of the American College of Surgeons surgical risk calculator of outcomes after hepatectomy for liver tumors: Results from a cohort of 950 patients.评估美国外科医师学会肝切除术治疗肝脏肿瘤术后结局的手术风险计算器:来自 950 例患者队列的结果。
Int J Surg. 2020 Dec;84:102-108. doi: 10.1016/j.ijsu.2020.10.003. Epub 2020 Oct 21.
9
Predictive Power of the NSQIP Risk Calculator for Early Post-Operative Outcomes After Whipple: Experience from a Regional Center in Northern Ontario.NSQIP风险计算器对Whipple术后早期手术结果的预测能力:来自安大略省北部一个地区中心的经验。
J Gastrointest Cancer. 2018 Sep;49(3):288-294. doi: 10.1007/s12029-017-9949-2.
10
Predictive validity of the ACS-NSQIP surgical risk calculator in geriatric patients undergoing lumbar surgery.美国外科医师学会国家外科质量改进计划(ACS-NSQIP)手术风险计算器在接受腰椎手术的老年患者中的预测效度
Medicine (Baltimore). 2017 Oct;96(43):e8416. doi: 10.1097/MD.0000000000008416.

引用本文的文献

1
Assessing the value of deep neural networks for postoperative complication prediction in pancreaticoduodenectomy patients.评估深度神经网络在胰十二指肠切除术患者术后并发症预测中的价值。
PLoS One. 2024 Dec 30;19(12):e0316402. doi: 10.1371/journal.pone.0316402. eCollection 2024.
2
Explainable Machine Learning Model to Preoperatively Predict Postoperative Complications in Inpatients With Cancer Undergoing Major Operations.可解释机器学习模型用于预测接受重大手术的癌症住院患者术后并发症。
JCO Clin Cancer Inform. 2024 Apr;8:e2300247. doi: 10.1200/CCI.23.00247.
3
Evaluation of complications after laparoscopic and open appendectomy by the American College of Surgeons National Surgical Quality Improvement Program surgical risk calculator.美国外科医师学院国家外科质量改进计划手术风险计算器评估腹腔镜和开腹阑尾切除术的并发症。
Ulus Travma Acil Cerrahi Derg. 2022 Apr;28(4):418-427. doi: 10.14744/tjtes.2020.45808.
4
Resection of Non-Functional Pancreatic Neuroendocrine Neoplasms-A Single-Center Retrospective Outcome Analysis.非功能性胰腺神经内分泌肿瘤切除术:单中心回顾性结果分析。
Curr Oncol. 2021 Aug 11;28(4):3071-3080. doi: 10.3390/curroncol28040268.
5
The American College of Surgeons Surgical Risk Calculator performs well for pulmonary resection: A validation study.美国外科医师学院外科风险计算器在肺切除术中表现良好:验证研究。
J Thorac Cardiovasc Surg. 2022 Apr;163(4):1509-1516.e1. doi: 10.1016/j.jtcvs.2021.01.036. Epub 2021 Jan 21.
6
Machine learning predicts unpredicted deaths with high accuracy following hepatopancreatic surgery.机器学习可高精度预测肝胰手术后的意外死亡情况。
Hepatobiliary Surg Nutr. 2021 Jan;10(1):20-30. doi: 10.21037/hbsn.2019.11.30.
7
Retroperitoneal sarcoma perioperative risk stratification: A United States Sarcoma Collaborative evaluation of the ACS-NSQIP risk calculator.腹膜后肉瘤围手术期风险分层:美国肉瘤协作组对美国外科医师学会国家外科质量改进计划(ACS-NSQIP)风险计算器的评估
J Surg Oncol. 2020 Sep;122(4):795-802. doi: 10.1002/jso.26071. Epub 2020 Jun 17.

本文引用的文献

1
Morbidity and Mortality Risk Assessment in Gynecologic Oncology Surgery Using the American College of Surgeons National Surgical Quality Improvement Program Database.妇科肿瘤外科学中的发病率和死亡率风险评估:使用美国外科医师学院国家外科质量改进计划数据库。
Int J Gynecol Cancer. 2018 May;28(4):840-847. doi: 10.1097/IGC.0000000000001234.
2
Predicting complications of major head and neck oncological surgery: an evaluation of the ACS NSQIP surgical risk calculator.预测头颈部重大肿瘤手术的并发症:ACS NSQIP 手术风险计算器的评估。
J Otolaryngol Head Neck Surg. 2018 Mar 22;47(1):21. doi: 10.1186/s40463-018-0269-8.
3
Accuracy of the ACS NSQIP Online Risk Calculator Depends on How You Look at It: Results from the United States Gastric Cancer Collaborative.美国外科医师学会国家外科质量改进计划(ACS NSQIP)在线风险计算器的准确性取决于你如何看待它:美国胃癌协作组的结果。
Am Surg. 2018 Mar 1;84(3):358-364.
4
Risk of major complications following thyroidectomy and parathyroidectomy: Utility of the NSQIP surgical risk calculator.甲状腺切除术和甲状旁腺切除术术后主要并发症的风险:NSQIP 手术风险计算器的实用性。
Am J Surg. 2018 May;215(5):936-941. doi: 10.1016/j.amjsurg.2018.01.006. Epub 2018 Jan 16.
5
National Surgical Quality Improvement Program surgical risk calculator poorly predicts complications in patients undergoing radical cystectomy with urinary diversion.国家外科质量改进计划手术风险计算器难以预测接受根治性膀胱切除术并尿流改道患者的并发症。
Urol Oncol. 2018 Feb;36(2):77.e1-77.e7. doi: 10.1016/j.urolonc.2017.09.015. Epub 2017 Oct 13.
6
Evaluating the American College of Surgeons National Surgical Quality Improvement project risk calculator: results from the U.S. Extrahepatic Biliary Malignancy Consortium.评估美国外科医师学会国家外科质量改进项目风险计算器:来自美国肝外胆管恶性肿瘤联盟的结果。
HPB (Oxford). 2017 Dec;19(12):1104-1111. doi: 10.1016/j.hpb.2017.08.009. Epub 2017 Sep 7.
7
Predictive Power of the NSQIP Risk Calculator for Early Post-Operative Outcomes After Whipple: Experience from a Regional Center in Northern Ontario.NSQIP风险计算器对Whipple术后早期手术结果的预测能力:来自安大略省北部一个地区中心的经验。
J Gastrointest Cancer. 2018 Sep;49(3):288-294. doi: 10.1007/s12029-017-9949-2.
8
A preoperative predictive score of pancreatic fistula following pancreatoduodenectomy.胰十二指肠切除术后胰瘘的术前预测评分
HPB (Oxford). 2014 Jul;16(7):620-8. doi: 10.1111/hpb.12186. Epub 2013 Nov 8.
9
Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons.开发和评估通用 ACS NSQIP 手术风险计算器:为患者和外科医生提供的决策辅助和知情同意工具。
J Am Coll Surg. 2013 Nov;217(5):833-42.e1-3. doi: 10.1016/j.jamcollsurg.2013.07.385. Epub 2013 Sep 18.
10
Optimizing ACS NSQIP modeling for evaluation of surgical quality and risk: patient risk adjustment, procedure mix adjustment, shrinkage adjustment, and surgical focus.优化 ACS NSQIP 模型以评估手术质量和风险:患者风险调整、手术操作组合调整、收缩调整和手术重点。
J Am Coll Surg. 2013 Aug;217(2):336-46.e1. doi: 10.1016/j.jamcollsurg.2013.02.027. Epub 2013 Apr 28.

评估 ACS NSQIP 风险计算器在原发性胰腺神经内分泌肿瘤中的应用:来自美国神经内分泌肿瘤研究组的结果。

Evaluating the ACS NSQIP Risk Calculator in Primary Pancreatic Neuroendocrine Tumor: Results from the US Neuroendocrine Tumor Study Group.

机构信息

Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.

Division of Surgical Oncology, Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, GA, USA.

出版信息

J Gastrointest Surg. 2019 Nov;23(11):2225-2231. doi: 10.1007/s11605-019-04120-4. Epub 2019 Apr 2.

DOI:10.1007/s11605-019-04120-4
PMID:30941685
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10178764/
Abstract

BACKGROUND

In a changing health care environment where patient outcomes will be more closely scrutinized, the ability to predict surgical complications is becoming increasingly important. The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) online risk calculator is a popular tool to predict surgical risk. This paper aims to assess the applicability of the ACS NSQIP calculator to patients undergoing surgery for pancreatic neuroendocrine tumors (PNETs).

METHODS

Using the US Neuroendocrine Tumor Study Group (USNET-SG), 890 patients who underwent pancreatic procedures between 1/1/2000-12/31/2016 were evaluated. Predicted and actual outcomes were compared using C-statistics and Brier scores.

RESULTS

The most commonly performed procedure was distal pancreatectomy, followed by standard and pylorus-preserving pancreaticoduodenectomy. For the entire group of patients studied, C-statistics were highest for discharge destination (0.79) and cardiac complications (0.71), and less than 0.7 for all other complications. The Brier scores for surgical site infection (0.1441) and discharge to nursing/rehabilitation facility (0.0279) were below the Brier score cut-off, while the rest were equal to or above and therefore not useful for interpretation.

CONCLUSION

This work indicates that the ACS NSQIP risk calculator is a valuable tool that should be used with caution and in coordination with clinical assessment for PNET clinical decision-making.

摘要

背景

在医疗环境不断变化的背景下,患者的治疗效果将受到更密切的关注,因此预测手术并发症的能力变得越来越重要。美国外科医师学院国家外科质量改进计划(ACS NSQIP)在线风险计算器是预测手术风险的常用工具。本文旨在评估 ACS NSQIP 计算器在胰腺神经内分泌肿瘤(PNET)患者手术中的适用性。

方法

利用美国神经内分泌肿瘤研究组(USNET-SG)的数据,评估了 890 名于 2000 年 1 月 1 日至 2016 年 12 月 31 日期间接受胰腺手术的患者。使用 C 统计量和 Brier 评分比较预测结果和实际结果。

结果

最常进行的手术是胰尾部切除术,其次是标准胰十二指肠切除术和保留幽门的胰十二指肠切除术。对于研究的所有患者,C 统计量最高的是出院去向(0.79)和心脏并发症(0.71),其他并发症的 C 统计量均低于 0.7。手术部位感染(0.1441)和转往护理/康复设施(0.0279)的 Brier 评分低于 Brier 评分截断值,而其他并发症的 Brier 评分则等于或高于截断值,因此无法用于解释。

结论

本研究表明,ACS NSQIP 风险计算器是一种有价值的工具,但应谨慎使用,并与临床评估相结合,以辅助 PNET 的临床决策。