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Establishment of a prognostic nomogram for lung adenocarcinoma with brain metastases.

肺腺癌脑转移预后列线图的建立。

  • 影响因子:1.52
  • DOI:10.1016/j.wneu.2020.05.273
  • 作者列表:"Huang Z","Tong Y","Tian H","Zhao C
  • 发表时间:2020-06-09
Abstract

BACKGROUND:The brain is one of the common metastatic sites of lung adenocarcinoma, and the prognosis associated with brain metastasis is not good. We performed a large data analysis to determine the prognostic factors of lung adenocarcinoma with brain metastases (LABM) and to develop a nomogram to predict its prognosis. METHODS:We conducted a retrospective study of 2879 patients with LABM from the Surveillance, Epidemiology, and End Results database. An X-tile analysis provided the optimal age cut-off point. We used univariate and multivariate Cox regression analyses to determine the independent prognostic factors of LABM. Finally, we established and validated a nomogram to predict the prognosis of LABM. RESULTS:A total of 2879 patients with brain metastases were included in this study. Multivariate Cox regression analysis showed that age, race, sex, T stage, N stage, surgery, chemotherapy, bone metastasis, liver metastasis, and marital status were independent prognostic factors. We constructed a nomogram to predict the prognosis of LABM with the RMS package. Through calibration curves, receiver operating characteristic curves and decision curve analyses, we found that the nomogram, which predicted the prognosis of LABM, performed well internally. CONCLUSIONS:The nomogram is expected to be a precise and personalized tool for predicting the prognosis of patients with lung adenocarcinoma with brain metastasis. This nomogram will help clinicians develop more rational and effective treatment strategies.

摘要

背景: 脑是肺腺癌常见的转移部位之一,与脑转移相关的预后不佳。我们进行了一项大数据分析,以确定肺腺癌脑转移 (LABM) 的预后因素,并制定了预测其预后的列线图。 方法: 我们对来自监测流行病学学和最终结果数据库的 2879 例 LABM 患者进行了回顾性研究。X-tile 分析提供了最佳的年龄截点。我们采用单变量和多变量 Cox 回归分析确定 LABM 的独立预后因素。最后,我们建立并验证了预测 LABM 预后的列线图。 结果: 共有 2879 例脑转移患者纳入本研究。多因素 Cox 回归分析显示,年龄、种族、性别、 T 分期、 N 分期、手术、化疗、骨转移、肝转移、婚姻状况是影响预后的独立因素。我们用 RMS 包构建了预测 LABM 预后的列线图。通过校准曲线、受试者工作特征曲线和决策曲线分析,我们发现预测 LABM 预后的列线图在内部表现良好。 结论: 列线图有望成为预测肺腺癌脑转移患者预后的精确、个性化的工具。该列线图将有助于临床医生制定更合理有效的治疗策略。

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发表时间:2020-01-01
DOI:10.1016/j.asjsur.2019.03.008
作者列表:["Esme H","Can A","Şehitogullari A"]

METHODS:BACKGROUND:The objectives of this study are to assess the chest drainage volumes of patients undergoing anatomic resection of non-small cell lung carcinoma and to determine the safety and effectiveness of administering enoxaparin for thromboprophylaxis. METHODS:A total of 77 patients were included in the study. A study was conducted on the first group of 42 patients in which enoxaparin prophylaxis (enoxaparin, 40 mg) was subcutaneously injected once a day for a period of three days after the patients underwent anatomic pulmonary resection between March 2016 and March 2018. An enoxaparin-free group was identified and included 35 patients who received no enoxaparin prophylaxis after undergoing anatomic pulmonary resection between February 2013 and February 2016. We compared the changes in hemoglobin (Hb) levels, postoperative 3-day drainage volume, transfusion volume, pulmonary complications and length of stay between the two groups. RESULTS:No differences in postoperative Hb levels, chest drainage volume, transfusion volume, postoperative complications, and length of stay were observed between the two groups. Deep-vein thrombosis was noted in a patient in the enoxaparin-free group. No major bleeding was noted in either group. CONCLUSION:We found that for patients undergoing anatomic resection of primary lung cancer, the blood transfusion and chest drainage volumes did not differ, regardless of whether the patients were given enoxaparin. To the best of our knowledge, the impact of low-molecular-weight heparin on chest tube drainage volume for patients undergoing anatomic resection of non-small cell lung carcinoma has not been investigated before.

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影响因子:1.84
发表时间:2020-01-01
来源期刊:Oncology letters
DOI:10.3892/ol.2019.11149
作者列表:["Das SK","Huang YY","Li B","Yu XX","Xiao RH","Yang HF"]

METHODS::The aim of the present study was to compare the safety and efficacy of cryoablation (CA) and microwave ablation (MWA) as treatments for non-small cell lung cancer (NSCLC). Patients with stage IIIB or IV NSCLC treated with CA (n=45) or MWA (n=56) were enrolled in the present study. The primary endpoint was progression-free survival (PFS); the secondary endpoints included overall survival (OS) time and adverse events (AEs). The median PFS times between the two groups were not significantly different (P=0.36): CA, 10 months [95% confidence interval (CI), 7.5-12.4] vs. MWA, 11 months (95% CI, 9.5-12.4). The OS times between the two groups were also not significantly different (P=0.07): CA, 27.5 months (95% CI, 22.8-31.2 months) vs. MWA, 18 months (95% CI, 12.5-23.5). For larger tumors (>3 cm), patients treated with MWA had significantly longer median PFS (P=0.04; MWA, 10.5 months vs. CA, 7.0 months) and OS times (P=0.04; MWA, 24.5 months vs. CA, 14.5 months) compared patients treated with CA. However, for smaller tumors (≤3 cm), median PFS (P=0.79; MWA, 11.0 months vs. CA, 13.0 months) and OS times (P=0.39; MWA, 30.0 months vs. CA, 26.5 months) between the two groups did not differ significantly. The incidence rates of AEs were similar in the two groups (P>0.05). The number of applicators, tumor size and length of the lung traversed by applicators were associated with a higher risk of pneumothorax and intra-pulmonary hemorrhage in the two groups. Treatment with CA resulted in significantly less intraprocedural pain compared with treatment with MWA (P=0.001). Overall, the present study demonstrated that CA and MWA were comparably safe and effective procedures for the treatment of small tumors. However, treatment with MWA was superior compared with CA for the treatment of large tumors.

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影响因子:8.44
发表时间:2020-02-01
DOI:10.1016/j.annonc.2019.10.022
作者列表:["Mazieres J","Cropet C","Montané L","Barlesi F","Souquet PJ","Quantin X","Dubos-Arvis C","Otto J","Favier L","Avrillon V","Cadranel J","Moro-Sibilot D","Monnet I","Westeel V","Le Treut J","Brain E","Trédaniel J","Jaffro M","Collot S","Ferretti GR","Tiffon C","Mahier-Ait Oukhatar C","Blay JY"]

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