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For: Tang X, Zhou X, Li Y, Tian X, Wang Y, Huang M, Ren L, Zhou L, Ding Z, Zhu J, Xu Y, Peng F, Wang J, Lu Y, Gong Y. A Novel Nomogram and Risk Classification System Predicting the Cancer-Specific Survival of Patients with Initially Diagnosed Metastatic Esophageal Cancer: A SEER-Based Study. Ann Surg Oncol 2019;26:321-8. [DOI: 10.1245/s10434-018-6929-0] [Cited by in Crossref: 29] [Cited by in F6Publishing: 41] [Article Influence: 5.8] [Reference Citation Analysis]
Number Citing Articles
1 Yang J, Yin H, Zou G, Yu B. Development and Validation of Nomograms to Predict Overall Survival and Cancer-Specific Survival for Non-Small Cell Lung Cancer with Chest Wall Invasion: A Population-Based Study.. [DOI: 10.21203/rs.3.rs-2510232/v1] [Reference Citation Analysis]
2 Luo P, Wu J, Chen X, Yang Y, Zhang R, Qi X, Li Y. A population-based investigation: How to identify high-risk T1-2N0 esophageal cancer patients? Front Surg 2023;9. [DOI: 10.3389/fsurg.2022.1003487] [Reference Citation Analysis]
3 Liu T, Li M, Cheng W, Yao Q, Xue Y, Wang X, Jin H. A clinical prognostic model for patients with esophageal squamous cell carcinoma based on circulating tumor DNA mutation features. Front Oncol 2022;12:1025284. [PMID: 36686833 DOI: 10.3389/fonc.2022.1025284] [Reference Citation Analysis]
4 Zhang XY, Lv QY, Zou CL. A nomogram model to individually predict prognosis for esophageal cancer with synchronous pulmonary metastasis. Front Oncol 2022;12:956738. [PMID: 36686804 DOI: 10.3389/fonc.2022.956738] [Reference Citation Analysis]
5 Xu J, Zhou J, Hu J, Ren Q, Wang X, Shu Y. Development and validation of a machine learning model for survival risk stratification after esophageal cancer surgery. Front Oncol 2022;12:1068198. [PMID: 36568178 DOI: 10.3389/fonc.2022.1068198] [Reference Citation Analysis]
6 Yang Y, Tang P, Ma M, Zhang H, Wang H, Zhu K, Xiao W, Gong L, Yu Z. Comparison of clinicopathological features and prognostic significance between synchronous multiple primary and solitary esophageal squamous cell carcinomas. BMC Cancer 2022;22:1191. [DOI: 10.1186/s12885-022-10283-2] [Reference Citation Analysis]
7 Ma X, Ding Y, Qian J, Wan M, Li N, Mao C, Xiao C, Jiang H, Zheng Y, Wu L, Chen X, Xu N. Nomogram Based on Monocyte-to-Lymphocyte Ratio to Predict Survival of Unresectable Esophageal Squamous Cell Carcinoma Who Receive First-Line PD-1/PD-L1 Inhibitors Combined with Chemotherapy. Curr Oncol 2022;29:8937-54. [PMID: 36421355 DOI: 10.3390/curroncol29110702] [Reference Citation Analysis]
8 Luo P, Wei X, Liu C, Chen X, Yang Y, Zhang R, Kang X, Qin J, Qi X, Li Y. The risk and prognostic factors for liver metastases in esophageal cancer patients: A large-cohort based study. Thorac Cancer 2022;13:2960-9. [PMID: 36168908 DOI: 10.1111/1759-7714.14642] [Reference Citation Analysis]
9 Zhu R, Zhang Y, Luo X, Shen W, Zhu H. A novel nomogram and risk classification system for predicting overall survival in head and neck squamous cell cancer with distant metastasis at initial diagnosis. Eur Arch Otorhinolaryngol 2022. [DOI: 10.1007/s00405-022-07716-w] [Reference Citation Analysis]
10 Kong Z, Sun F, Meng Q, Zhou M, Yu J, Hu L. Investigating the predictive value of vascular endothelial growth factor in the evaluation of treatment efficacy and prognosis for patients with non-surgical esophageal squamous cell carcinoma. Front Oncol 2022;12. [DOI: 10.3389/fonc.2022.843250] [Reference Citation Analysis]
11 Cao G, Li Y, Wang J, Wu X, Zhang Z, Zhanghuang C, Han K. Gleason score, surgical and distant metastasis are associated with cancer-specific survival and overall survival in middle aged high-risk prostate cancer: A population-based study. Front Public Health 2022;10:1028905. [PMID: 36330113 DOI: 10.3389/fpubh.2022.1028905] [Reference Citation Analysis]
12 Zhou J, Yu W, Xia J, Li S, Xie L, Wang X. Not all rectal cancer patients could benefit from the surgery on the primary site.. [DOI: 10.21203/rs.3.rs-2108679/v1] [Reference Citation Analysis]
13 Zheng H, Wei J. Identification of a clinical web-based nomogram to predict overall survival in elderly retroperitoneal sarcoma patients: A population-based study. Medicine (Baltimore) 2022;101:e30618. [PMID: 36181117 DOI: 10.1097/MD.0000000000030618] [Reference Citation Analysis]
14 Jeong W, Park EC, Nam CM, Park S, Nam JY, Jang SI. Health behavior changes and mortality among South Korean cancer survivors. Sci Rep 2022;12:16011. [PMID: 36163240 DOI: 10.1038/s41598-022-20092-z] [Reference Citation Analysis]
15 Li X, Cheng W, Zhang J, Li D, Wang F, Cui N. Early alteration of peripheral blood lymphocyte subsets as a risk factor for delirium in critically ill patients after cardiac surgery: A prospective observational study. Front Aging Neurosci 2022;14:950188. [DOI: 10.3389/fnagi.2022.950188] [Reference Citation Analysis]
16 Shin TH, Lee DY, Jang YE, Kwon DH, Hwang JS, Kim SG, Seo C, Paik MJ, Lee JY, Kim JY, Park S, Choi S, Basith S, Kim MO, Lee G. Reduction in the Migration Activity of Microglia Treated with Silica-Coated Magnetic Nanoparticles and their Recovery Using Citrate. Cells 2022;11:2393. [DOI: 10.3390/cells11152393] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
17 Huang X, Luo Z, Liang W, Xie G, Lang X, Gou J, Liu C, Xu X, Fu D. Survival Nomogram for Young Breast Cancer Patients Based on the SEER Database and an External Validation Cohort. Ann Surg Oncol. [DOI: 10.1245/s10434-022-11911-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
18 Guo J, Tong CY, Shi JG, Li XJ. Treatment paradigms and survival outcomes in esophageal adenocarcinoma with liver metastasis: a retrospective cohort study using the SEER database. J Gastrointest Oncol 2022;13:935-48. [PMID: 35837204 DOI: 10.21037/jgo-22-420] [Reference Citation Analysis]
19 Cui C, Wu X, Deng L, Wang W, Cui W, Wang Y. Modified Glasgow prognostic score predicts the prognosis of patients with advanced esophageal squamous cell carcinoma: A propensity score-matched analysis. Thorac Cancer 2022. [PMID: 35624549 DOI: 10.1111/1759-7714.14486] [Reference Citation Analysis]
20 Hamamoto Y, Murakami K, Kato K, Kitagawa Y. Management of elderly patients with esophageal squamous cell cancer. Jpn J Clin Oncol 2022:hyac067. [PMID: 35511482 DOI: 10.1093/jjco/hyac067] [Reference Citation Analysis]
21 Zang Z, Liu Y, Wang J, Liu Y, Zhang S, Zhang Y, Zhang L, Zhao D, Liu F, Chao L, Wang X, Zhang C, Song G, Zhang Z, Li Y, Yan Z, Wen Y, Ge Y, Niu C, Feng W, Nakyeyune R, Shen Y, Shao Y, Guo X, Yang A, Liu F, Wang G. Dietary patterns and severity of symptom with the risk of esophageal squamous cell carcinoma and its histological precursor lesions in China: a multicenter cross-sectional latent class analysis. BMC Cancer 2022;22. [DOI: 10.1186/s12885-022-09206-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Shi M, Zhai GQ. Models for Predicting Early Death in Patients With Stage IV Esophageal Cancer: A Surveillance, Epidemiology, and End Results-Based Cohort Study. Cancer Control 2022;29:10732748211072976. [PMID: 35037487 DOI: 10.1177/10732748211072976] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
23 Lemini R, Díaz Vico T, Trumbull DA, Attwood K, Spaulding AC, Elli EF, Colibaseanu DT, Kukar M, Gabriel E. Prognostic models for stage I-III esophageal cancer: a comparison between existing calculators. J Gastrointest Oncol 2021;12:1963-72. [PMID: 34790364 DOI: 10.21037/jgo-20-337] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
24 Du K, Li L, Wang Q, Zou J, Yu Z, Li J, Zheng Y. Development and application of a dynamic prediction model for esophageal cancer. Ann Transl Med 2021;9:1546. [PMID: 34790752 DOI: 10.21037/atm-21-4964] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
25 Shao CY, Yu Y, Li QF, Liu XL, Song HZ, Shen Y, Yi J. Development and Validation of a Clinical Prognostic Nomogram for Esophageal Adenocarcinoma Patients. Front Oncol 2021;11:736573. [PMID: 34540700 DOI: 10.3389/fonc.2021.736573] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
26 Ma Y, Su X, Li X, Zhi X, Jiang K, Xia J, Li H, Yan C, Zhou L. Combined detection of peripheral blood VEGF and inflammation biomarkers to evaluate the clinical response and prognostic prediction of non-operative ESCC. Sci Rep 2021;11:15305. [PMID: 34315926 DOI: 10.1038/s41598-021-94329-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
27 Zou W, Zhu C, Wang Z, Tan X, Li C, Zhao Z, Hu M, Liu R. A Novel Nomogram Based on Log Odds of Metastatic Lymph Nodes to Predict Overall Survival in Patients With Perihilar Cholangiocarcinoma After Surgery. Front Oncol 2021;11:649699. [PMID: 34367951 DOI: 10.3389/fonc.2021.649699] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
28 Wang Z, Li H, Liu T, Sun Z, Yang F, Jiang G. Development and External Validation of a Nomogram for Predicting Cancer-Specific Survival of Non-Small Cell Lung Cancer Patients With Ipsilateral Pleural Dissemination. Front Oncol 2021;11:645486. [PMID: 34350108 DOI: 10.3389/fonc.2021.645486] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
29 Yang Z, Yang F, Yang M, Qi Y, Jiang M, Xuan J, Liu Y, Tao H, Liu Y, Wang F. Prediction of overall survival in patients with Stage I esophageal cancer: A novel web-based calculator. J Surg Oncol 2021. [PMID: 34263466 DOI: 10.1002/jso.26594] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
30 Kovaleva O, Podlesnaya P, Rashidova M, Samoilova D, Petrenko A, Mochalnikova V, Kataev V, Khlopko Y, Plotnikov A, Gratchev A. Prognostic Significance of the Microbiome and Stromal Cells Phenotype in Esophagus Squamous Cell Carcinoma. Biomedicines 2021;9:743. [PMID: 34203319 DOI: 10.3390/biomedicines9070743] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
31 Li X, Xu J, Zhu L, Yang S, Yu L, Lv W, Hu J. A novel nomogram with preferable capability in predicting the overall survival of patients after radical esophageal cancer resection based on accessible clinical indicators: A comparison with AJCC staging. Cancer Med 2021;10:4228-39. [PMID: 34128338 DOI: 10.1002/cam4.3878] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
32 Zeng Q, Yao Y, Zhao M. Development and validation of a nomogram to predict cancer-specific survival of uveal melanoma. BMC Ophthalmol 2021;21:230. [PMID: 34030647 DOI: 10.1186/s12886-021-01968-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
33 Li H, Zhang S, Guo J, Zhang L. Hepatic Metastasis in Newly Diagnosed Esophageal Cancer: A Population-Based Study. Front Oncol 2021;11:644860. [PMID: 34041021 DOI: 10.3389/fonc.2021.644860] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
34 Guo Q, Peng Y, Yang H, Guo J. Prognostic Nomogram for Postoperative Patients With Gastroesophageal Junction Cancer of No Distant Metastasis. Front Oncol 2021;11:643261. [PMID: 33937047 DOI: 10.3389/fonc.2021.643261] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
35 Dou XM, Zhang N, Fang YY, Zhang BH, Liao JJ, Cai JS, Li JB. Prognostic nomograms and risk-stratifying systems for predicting survival in patients with resected pT2-4aN0M0 esophageal carcinoma. J Thorac Dis 2021;13:2363-77. [PMID: 34012585 DOI: 10.21037/jtd-20-3393] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
36 Lu G, Li J, Wu L, Shi Y, Zhang X, Xia Y, Li L. Establishment and Verification of a Nomogram for Predicting Survival in Patients with Small Intestinal Gastrointestinal Stromal Tumors. Dig Dis 2022;40:50-61. [PMID: 33752202 DOI: 10.1159/000516022] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
37 Wang F, Gao SG, Xue Q, Tan FW, Gao YS, Wang DL, Mao YS, Zhao J, Li Y, Yu XY, Cheng H, Zhao CG, Yang D, Mu JW. Nomogram for predicting the overall survival of the patients with oesophageal signet ring cell carcinoma. J Thorac Dis 2021;13:1315-26. [PMID: 33841925 DOI: 10.21037/jtd-20-3084] [Reference Citation Analysis]
38 Liu J, Huang X, Chen S, Wu G, Xie W, Franco JPC, Zhang C, Huang L, Tian C, Tang W. Nomogram based on clinical characteristics for preoperative prediction of perineural invasion in gastric cancer. J Int Med Res 2020;48:300060519895131. [PMID: 31939330 DOI: 10.1177/0300060519895131] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
39 Li W, Xiao Y, Xu X, Zhang Y. A Novel Nomogram and Risk Classification System Predicting the Cancer-Specific Mortality of Patients with Initially Diagnosed Metastatic Cutaneous Melanoma. Ann Surg Oncol 2021;28:3490-500. [PMID: 33191484 DOI: 10.1245/s10434-020-09341-5] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
40 Guo C, Yao D, Lin X, Huang H, Zhang J, Lin F, Mou Y, Yang Q. External Validation of a Nomogram and Risk Grouping System for Predicting Individual Prognosis of Patients With Medulloblastoma. Front Pharmacol 2020;11:590348. [PMID: 33343359 DOI: 10.3389/fphar.2020.590348] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
41 Yan L, Deng W, Guan L, Xu H. Nomogram forecasting 3-, 5-, and 8-year overall survival and cancer-specific survival of gingival squamous cell carcinoma. Cancer Med 2020;9:8266-74. [PMID: 32960497 DOI: 10.1002/cam4.3436] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 1.7] [Reference Citation Analysis]
42 Yu X, Gao S, Xue Q, Tan F, Gao Y, Mao Y, Wang D, Zhao J, Li Y, He J, Mu J. Development of a predictive nomogram for cause-specific mortality in surgically resected early-stage oesophageal cancer: a Surveillance, Epidemiology, and End Results (SEER) analysis. J Thorac Dis 2020;12:2583-94. [PMID: 32642166 DOI: 10.21037/jtd.2020.03.25] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
43 Chen K, Deng X, Yang Z, Yu D, Zhang X, Zhang J, Xie D, He Z, Cheng D. Survival nomogram for patients with metastatic siewert type II adenocarcinoma of the esophagogastric junction: a population-based study. Expert Rev Gastroenterol Hepatol 2020;14:757-64. [PMID: 32552040 DOI: 10.1080/17474124.2020.1784726] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
44 Wang N, Yang J, Lyu J, Liu Q, He H, Liu J, Li L, Ren X, Li Z. A convenient clinical nomogram for predicting the cancer-specific survival of individual patients with small-intestine adenocarcinoma. BMC Cancer 2020;20:505. [PMID: 32487033 DOI: 10.1186/s12885-020-06971-6] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 1.7] [Reference Citation Analysis]
45 Deng J, Chu X, Ren Z, Wang B. Relationship between T stage and survival in distantly metastatic esophageal cancer: A STROBE-compliant study. Medicine (Baltimore) 2020;99:e20064. [PMID: 32384472 DOI: 10.1097/MD.0000000000020064] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
46 Li H, Wang Z, Yang F, Wang J. Development and validation of a nomogram for predicting cancer-specific survival of surgical resected stage I-II adenosquamous carcinoma of the lung. J Surg Oncol 2020;121:1027-35. [PMID: 32026478 DOI: 10.1002/jso.25858] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
47 Wang CY, Yang J, Zi H, Zheng ZL, Li BH, Wang Y, Ge Z, Jian GX, Lyu J, Li XD, Ren XQ. Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy. BMC Cancer 2020;20:10. [PMID: 31906882 DOI: 10.1186/s12885-019-6495-2] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 5.0] [Reference Citation Analysis]
48 Zhang J, Ma W, Wu H, Wang J, Lin Y, Wang X, Zhang C. Analysis of Homogeneous and Heterogeneous Factors for Bone Metastasis in Esophageal Cancer. Med Sci Monit 2019;25:9416-25. [PMID: 31821313 DOI: 10.12659/MSM.920483] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]