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Cited by in F6Publishing
For: Pan YX, Chen JC, Fang AP, Wang XH, Chen JB, Wang JC, He W, Fu YZ, Xu L, Chen MS, Zhang YJ, Li QJ, Zhou ZG. A nomogram predicting the recurrence of hepatocellular carcinoma in patients after laparoscopic hepatectomy. Cancer Commun (Lond) 2019;39:55. [PMID: 31601270 DOI: 10.1186/s40880-019-0404-6] [Cited by in Crossref: 9] [Cited by in F6Publishing: 17] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Ding G, Xu J, He J, Nie Z. Clinical scoring model based on age, NIHSS, and stroke-history predicts outcome 3 months after acute ischemic stroke. Front Neurol 2022;13:935150. [DOI: 10.3389/fneur.2022.935150] [Reference Citation Analysis]
2 Yang L, Zeng L, Hong G, Luo Q, Lai X, Wang F. Construction of a Novel Clinical Stage-Related Gene Signature for Predicting Outcome and Immune Response in Hepatocellular Carcinoma. Journal of Immunology Research 2022;2022:1-10. [DOI: 10.1155/2022/6535009] [Reference Citation Analysis]
3 Luo L, Lin H, Huang J, Lin B, Huang F, Luo H. Risk factors and prognostic nomogram for patients with second primary cancers after lung cancer using classical statistics and machine learning. Clin Exp Med 2022. [PMID: 35821159 DOI: 10.1007/s10238-022-00858-5] [Reference Citation Analysis]
4 Wu J, Zhu H, Zhang Q, Sun Y, He X, Liao J, Liu Y, Huang L. Nomogram based on the systemic immune-inflammation index for predicting the prognosis of diffuse large B-cell lymphoma. Asia Pac J Clin Oncol 2022. [PMID: 35754170 DOI: 10.1111/ajco.13806] [Reference Citation Analysis]
5 Xue J, Hu W, Wu S, Wang J, Chi S, Liu X. Development of a Risk Nomogram Model for Identifying Interstitial Lung Disease in Patients With Rheumatoid Arthritis. Front Immunol 2022;13:823669. [DOI: 10.3389/fimmu.2022.823669] [Reference Citation Analysis]
6 Shi K, Huang Y, Zhang Q, Ran C, Hou J, Zhang Y, Bi Y, Wang X. A dynamic nomogram to predict transplant-free mortality in patients with hepatitis B-related cirrhosis and overt hepatic encephalopathy. Int Immunopharmacol 2022;108:108879. [PMID: 35623289 DOI: 10.1016/j.intimp.2022.108879] [Reference Citation Analysis]
7 Li W, Wang B, Dong S, Xu C, Song Y, Qiao X, Xu X, Huang M, Yin C. A Novel Nomogram for Prediction and Evaluation of Lymphatic Metastasis in Patients With Renal Cell Carcinoma. Front Oncol 2022;12:851552. [DOI: 10.3389/fonc.2022.851552] [Reference Citation Analysis]
8 Ma L, Deng K, Zhang C, Li H, Luo Y, Yang Y, Li C, Li X, Geng Z, Xie C. Nomograms for Predicting Hepatocellular Carcinoma Recurrence and Overall Postoperative Patient Survival. Front Oncol 2022;12:843589. [PMID: 35296018 DOI: 10.3389/fonc.2022.843589] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
9 Luo Z, Fu Z, Li T, Zhang Y, Zhang J, Yang Y, Yang Z, Li Q, Qiu Z, Huang C. Development and Validation of the Individualized Prognostic Nomograms in Patients With Right- and Left-Sided Colon Cancer. Front Oncol 2021;11:709835. [PMID: 34790565 DOI: 10.3389/fonc.2021.709835] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Fang Q, Yang R, Chen D, Fei R, Chen P, Deng K, Gao J, Liao W, Chen H. A Novel Nomogram to Predict Prolonged Survival After Hepatectomy in Repeat Recurrent Hepatocellular Carcinoma. Front Oncol 2021;11:646638. [PMID: 33842361 DOI: 10.3389/fonc.2021.646638] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
11 Hu H, Qi S, Zeng S, Zhang P, He L, Wen S, Zeng N, Yang J, Zhang W, Zhu W, Xiang N, Fang C. Importance of Microvascular Invasion Risk and Tumor Size on Recurrence and Survival of Hepatocellular Carcinoma After Anatomical Resection and Non-anatomical Resection. Front Oncol 2021;11:621622. [PMID: 33816254 DOI: 10.3389/fonc.2021.621622] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
12 Wu J, Zhang H, Li L, Hu M, Chen L, Wu S, Xu B, Song Q. Prognostic nomogram for predicting survival in patients with high grade endometrial stromal sarcoma: a Surveillance Epidemiology, and End Results database analysis. Int J Gynecol Cancer 2020;30:1520-7. [PMID: 32839227 DOI: 10.1136/ijgc-2020-001409] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
13 He YZ, He K, Huang RQ, Wang ZL, Ye SW, Liu LW, Luo QJ, Hu ZM. Preoperative evaluation and prediction of clinical scores for hepatocellular carcinoma microvascular invasion: a single-center retrospective analysis. Ann Hepatol 2020;19:654-61. [PMID: 32768591 DOI: 10.1016/j.aohep.2020.07.002] [Cited by in Crossref: 3] [Cited by in F6Publishing: 8] [Article Influence: 1.5] [Reference Citation Analysis]
14 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: 30] [Article Influence: 1.5] [Reference Citation Analysis]
15 Yan J, He L, Li G, Peng X, Li W, Liu X, Yang D, Liu J, Zhang P, Lu X. Clinical Value of Serum LHPP-associated miR-765 in the Prognosis of Laparoscopic or Open Hepatectomy for Hepatocellular Carcinoma. Surg Laparosc Endosc Percutan Tech 2020;30:395-402. [PMID: 32404854 DOI: 10.1097/SLE.0000000000000808] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
16 Liao Y, Wang C, Yang Z, Liu W, Yuan Y, Li K, Zhang Y, Wang Y, Shi Y, Qiu Y, Zuo D, He W, Qiu J, Guan X, Yuan Y, Li B. Dysregulated Sp1/miR-130b-3p/HOXA5 axis contributes to tumor angiogenesis and progression of hepatocellular carcinoma. Theranostics 2020;10:5209-24. [PMID: 32373208 DOI: 10.7150/thno.43640] [Cited by in Crossref: 23] [Cited by in F6Publishing: 23] [Article Influence: 11.5] [Reference Citation Analysis]
17 Li C, Xu J. Identification of Potentially Therapeutic Target Genes of Hepatocellular Carcinoma. Int J Environ Res Public Health 2020;17:E1053. [PMID: 32046048 DOI: 10.3390/ijerph17031053] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]