BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Wan G, Gao F, Chen J, Li Y, Geng M, Sun L, Liu Y, Liu H, Yang X, Wang R. Nomogram prediction of individual prognosis of patients with hepatocellular carcinoma. BMC Cancer. 2017;17:91. [PMID: 28143427 DOI: 10.1186/s12885-017-3062-6] [Cited by in Crossref: 22] [Cited by in F6Publishing: 30] [Article Influence: 4.4] [Reference Citation Analysis]
Number Citing Articles
1 Chen CZ, Zhong JH, Qi YP, Zhang J, Huang T, Ma L, Li LQ, Peng T, Xiang BD. Development of a preoperative prognostic scoring system to predict benefits of hepatic resection in advanced hepatocellular carcinoma patients. Biosci Rep 2021;41:BSR20201928. [PMID: 33835138 DOI: 10.1042/BSR20201928] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Zheng Z, Lin D, Chen Q, Zheng B, Liang M, Chen C, Zheng W. Prognostic Value of Combined Detection of Preoperative Albumin-to-Fibrinogen Ratio and Neutrophil-to-Lymphocyte Ratio in Operable Esophageal Squamous Cell Carcinoma Patients without Neoadjuvant Therapy. Cancer Manag Res 2021;13:2359-70. [PMID: 33737833 DOI: 10.2147/CMAR.S296266] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Zhang G, Li R, Zhao X, Meng S, Ye J, Zhao L. Validation of the American Joint Committee on Cancer eighth edition staging system in patients undergoing hepatectomy for hepatocellular carcinoma: a US population-based study. J Surg Res 2018;222:55-68. [PMID: 29273376 DOI: 10.1016/j.jss.2017.09.044] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 1.2] [Reference Citation Analysis]
4 Wu J, Zhang H, Li L, Hu M, Chen L, Xu B, Song Q. A nomogram for predicting overall survival in patients with low-grade endometrial stromal sarcoma: A population-based analysis. Cancer Commun (Lond) 2020;40:301-12. [PMID: 32558385 DOI: 10.1002/cac2.12067] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
5 Zhang Y, Zhang X. Prognostic value of aspartate aminotransferase to platelet ratio index as a noninvasive biomarker in patients with hepatocellular carcinoma: a meta-analysis. Cancer Manag Res 2018;10:3023-32. [PMID: 30214297 DOI: 10.2147/CMAR.S174095] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
6 Zhou Y, Ding J, Qin Z, Wang Y, Zhang J, Jia K, Wang Y, Zhou H, Wang F, Jing X. Predicting the survival rate of patients with hepatocellular carcinoma after thermal ablation by nomograms. Ann Transl Med 2020;8:1159. [PMID: 33241008 DOI: 10.21037/atm-20-6116] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
7 Wan S, Nie Y, Zhu X. Development of a prognostic scoring model for predicting the survival of elderly patients with hepatocellular carcinoma. PeerJ 2020;8:e8497. [PMID: 32117619 DOI: 10.7717/peerj.8497] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
8 Zhang S, Tong YX, Zhang XH, Zhang YJ, Xu XS, Xiao AT, Chao TF, Gong JP. A novel and validated nomogram to predict overall survival for gastric neuroendocrine neoplasms. J Cancer 2019;10:5944-54. [PMID: 31762804 DOI: 10.7150/jca.35785] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
9 Gao F, Li X, Wan G, Li Y, Zhang Q, Liu Y, Liu H, Li H, Wang X. Development and external validation of a prognostic nomogram for acute decompensation of chronic hepatitis B cirrhosis. BMC Gastroenterol. 2018;18:179. [PMID: 30509201 DOI: 10.1186/s12876-018-0911-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
10 Pu T, Li ZH, Jiang D, Chen JM, Guo Q, Cai M, Chen ZX, Xie K, Zhao YJ, Liu FB. Nomogram based on inflammation-related markers for predicting survival of patients undergoing hepatectomy for hepatocellular carcinoma. World J Clin Cases 2021; 9(36): 11193-11207 [DOI: 10.12998/wjcc.v9.i36.11193] [Reference Citation Analysis]
11 Hu H, Zhao G, Zhang K, Cai H, Jiang Z, Huang A, Cai J, Xu A, Li H, He C. The Clinical Application of a Self-developed Gasless Laparoendoscopic Operation Field Formation Device on Patients Undergoing Cholecystectomy. Surg Laparosc Endosc Percutan Tech 2020;30:441-6. [PMID: 32555068 DOI: 10.1097/SLE.0000000000000809] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Lin Y, Fu F, Lin S, Qiu W, Zhou W, Lv J, Wang C. A nomogram prediction for the survival of patients with triple negative breast cancer. Oncotarget 2018;9:32108-18. [PMID: 30181802 DOI: 10.18632/oncotarget.24964] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
13 Feng Y, Wang Y, Xie Y, Wu S, Li Y, Li M. Nomograms predicting the overall survival and cancer-specific survival of patients with stage IIIC1 cervical cancer. BMC Cancer 2021;21:450. [PMID: 33892663 DOI: 10.1186/s12885-021-08209-5] [Reference Citation Analysis]
14 Zhou C, Shi Y, Chai P, Wu F, Xia W, He X, Shi Y, Huang H, Jia R, Fan X. Contemporary update of overall prognosis and nomogram to predict individualized survival for Chinese patients with eyelid sebaceous carcinoma. EBioMedicine 2018;36:221-8. [PMID: 30236450 DOI: 10.1016/j.ebiom.2018.09.011] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
15 Dong F, Shen Y, Gao F, Shi X, Xu T, Wang X, Zhang X, Zhong S, Zhang M, Chen S, Shen Z. Nomograms to Predict Individual Prognosis of Patients with Primary Small Cell Carcinoma of the Bladder. J Cancer 2018;9:1152-64. [PMID: 29675096 DOI: 10.7150/jca.23344] [Cited by in Crossref: 19] [Cited by in F6Publishing: 24] [Article Influence: 4.8] [Reference Citation Analysis]
16 Zhang GL, Zhou W. A Model for the Prediction of Survival in Patients With Upper Tract Urothelial Carcinoma After Surgery. Dose Response 2019;17:1559325819882872. [PMID: 31662711 DOI: 10.1177/1559325819882872] [Reference Citation Analysis]
17 Yang Z, Heng Y, Lin J, Lu C, Yu D, Tao L, Cai W. Nomogram for Predicting Central Lymph Node Metastasis in Papillary Thyroid Cancer: A Retrospective Cohort Study of Two Clinical Centers. Cancer Res Treat 2020;52:1010-8. [PMID: 32599980 DOI: 10.4143/crt.2020.254] [Cited by in Crossref: 7] [Cited by in F6Publishing: 9] [Article Influence: 3.5] [Reference Citation Analysis]
18 Zhou Q, Cai H, Xu MH, Ye Y, Li XL, Shi GM, Huang C, Zhu XD, Cai JB, Zhou J, Fan J, Ji Y, Sun HC, Shen YH. Do the existing staging systems for primary liver cancer apply to combined hepatocellular carcinoma-intrahepatic cholangiocarcinoma? Hepatobiliary Pancreat Dis Int 2021;20:13-20. [PMID: 33160852 DOI: 10.1016/j.hbpd.2020.10.002] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
19 Ding M, Zhao X, Zhao M, Shi Y, Wang T, Cui D, Shi D, Zhai B. Prognostic Nomogram for Patients with Hepatocellular Carcinoma After Thermal Ablation. Cardiovasc Intervent Radiol 2020;43:1621-30. [PMID: 32814990 DOI: 10.1007/s00270-020-02617-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Zhu X, Heng Y, Zhou L, Tao L, Zhang M. A prognostic nomogram for predicting risk of recurrence in laryngeal squamous cell carcinoma patients after tumor resection to assist decision making for postoperative adjuvant treatment. J Surg Oncol 2019;120:698-706. [PMID: 31273803 DOI: 10.1002/jso.25614] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
21 Liu Y, Xue D, Zhang X, Gao F, Sun L, Yang X, Li Y, Zhang Q, Zhu B, Niu S, Huang Y, Hu Y, Wang X. Nomogram for Individualized Prediction of Hepatocellular Carcinoma with Portal Vein Tumor Thrombosis on Conservative Treatment. Biomed Res Int 2020;2020:1473718. [PMID: 32149077 DOI: 10.1155/2020/1473718] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
22 Wan S, Lei Y, Li M, Wu B. A prognostic model for hepatocellular carcinoma patients based on signature ferroptosis-related genes. Hepatol Int 2021. [PMID: 34449009 DOI: 10.1007/s12072-021-10248-w] [Reference Citation Analysis]
23 Guan YJ, Fang SY, Chen LL, Li ZD. Development and validation of prognostic nomograms for medullary thyroid cancer. Onco Targets Ther 2019;12:2299-309. [PMID: 30988634 DOI: 10.2147/OTT.S196205] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
24 Cheng D, Wan G, Sun L, Wang X, Ou W, Xing H. A Novel Diagnostic Nomogram for Noninvasive Evaluating Liver Fibrosis in Patients with Chronic Hepatitis B Virus Infection. Biomed Res Int 2020;2020:5218930. [PMID: 32596321 DOI: 10.1155/2020/5218930] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
25 Gao F, Zhang Q, Liu Y, Gong G, Mao D, Gong Z, Li J, Luo X, Li X, Chen G, Li Y, Zhao W, Wan G, Li H, Sun K, Wang X. Nomogram prediction of individual prognosis of patients with acute-on-chronic hepatitis B liver failure. Dig Liver Dis. 2019;51:425-433. [PMID: 30241795 DOI: 10.1016/j.dld.2018.08.023] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 2.3] [Reference Citation Analysis]
26 Zhang L, Fu R, Liu P, Wang L, Liang W, Zou H, Jia W, Tao L. Biological and prognostic value of ETV5 in high-grade serous ovarian cancer. J Ovarian Res 2021;14:149. [PMID: 34736492 DOI: 10.1186/s13048-021-00899-6] [Reference Citation Analysis]
27 Bai Y, Liu ZS, Xiong JP, Xu WY, Lin JZ, Long JY, Miao F, Huang HC, Wan XS, Zhao HT. Nomogram to predict overall survival after gallbladder cancer resection in China. World J Gastroenterol 2018; 24(45): 5167-5178 [PMID: 30568393 DOI: 10.3748/wjg.v24.i45.5167] [Cited by in CrossRef: 7] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
28 Liu Q, Li J, Liu F, Yang W, Ding J, Chen W, Wei Y, Li B, Zheng L. A radiomics nomogram for the prediction of overall survival in patients with hepatocellular carcinoma after hepatectomy. Cancer Imaging 2020;20:82. [PMID: 33198809 DOI: 10.1186/s40644-020-00360-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
29 Chen SH, Wan QS, Zhou D, Wang T, Hu J, He YT, Yuan HL, Wang YQ, Zhang KH. A Simple-to-Use Nomogram for Predicting the Survival of Early Hepatocellular Carcinoma Patients. Front Oncol 2019;9:584. [PMID: 31355135 DOI: 10.3389/fonc.2019.00584] [Cited by in Crossref: 17] [Cited by in F6Publishing: 18] [Article Influence: 5.7] [Reference Citation Analysis]
30 Liu M, Song C, Zhang P, Fang Y, Han X, Li J, Wu W, Chen G, Sun J. A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors. Med Sci Monit 2020;26:e922378. [PMID: 32449506 DOI: 10.12659/MSM.922378] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
31 Xu D, Zhang K, Li M, Neoptolemos JP, Wu J, Gao W, Wu P, Cai B, Yin J, Shi G, Lu Z, Jiang K, Miao Y. Prognostic Nomogram for Resected Pancreatic Adenocarcinoma: A TRIPOD-Compliant Retrospective Long-Term Survival Analysis. World J Surg 2020;44:1260-9. [PMID: 31900571 DOI: 10.1007/s00268-019-05325-z] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]