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本文引用的文献

1
Development of a prognostic model to predict 90-day mortality in hospitalised cancer patients (PROMISE tool): a prospective observational study.开发一种预测住院癌症患者90天死亡率的预后模型（PROMISE工具）：一项前瞻性观察性研究。
Lancet Reg Health Eur. 2024 Oct 9;46:101063. doi: 10.1016/j.lanepe.2024.101063. eCollection 2024 Nov.
2
Systemic inflammation and insulin resistance-related indicator predicts poor outcome in patients with cancer cachexia.全身炎症和胰岛素抵抗相关指标可预测癌症恶病质患者的不良预后。
Cancer Metab. 2024 Jan 25;12(1):3. doi: 10.1186/s40170-024-00332-8.
3
Risk Prediction Model of 90-Day Mortality After Esophagectomy for Cancer.食管癌切除术 90 天后死亡率的风险预测模型。
JAMA Surg. 2021 Sep 1;156(9):836-845. doi: 10.1001/jamasurg.2021.2376.
4
Impact of Sarcopenia on Unplanned Readmission and Survival After Esophagectomy in Patients with Esophageal Cancer.肌肉减少症对食管癌患者食管切除术后非计划性再入院和生存的影响。
Ann Surg Oncol. 2018 Feb;25(2):456-464. doi: 10.1245/s10434-017-6294-4. Epub 2017 Dec 6.
5
Prospective validation of a prognostic score for patients in immunotherapy phase I trials: The Gustave Roussy Immune Score (GRIm-Score).免疫治疗I期试验患者预后评分的前瞻性验证：古斯塔夫·鲁西免疫评分（GRIm-Score）。
Eur J Cancer. 2017 Oct;84:212-218. doi: 10.1016/j.ejca.2017.07.027. Epub 2017 Aug 18.
6
Development and validation of a prognostic scale for hospitalized patients with terminally ill cancer in China.中国终末期癌症住院患者预后量表的制定与验证。
Support Care Cancer. 2014 Jan;22(1):145-52. doi: 10.1007/s00520-013-1970-9. Epub 2013 Sep 7.
7
Assessing 2-month clinical prognosis in hospitalized patients with advanced solid tumors.评估晚期实体瘤住院患者的2个月临床预后。
J Clin Oncol. 2008 May 20;26(15):2538-43. doi: 10.1200/JCO.2007.14.9518.

Advancing prognostic precision in unplanned oncology admissions: the promise of the PROMISE-CTI score.

作者信息

Atçı Mustafa, Çelik Emir, Cicin Irfan

机构信息

Department of Medical Oncology, Faculty of Medicine, Istinye University, Istanbul, Türkiye.

出版信息

Lancet Reg Health Eur. 2025 Jun 6;54:101336. doi: 10.1016/j.lanepe.2025.101336. eCollection 2025 Jul.

DOI:10.1016/j.lanepe.2025.101336
PMID:40530357
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12173626/
Abstract
摘要