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For: Iasonos A, Schrag D, Raj GV, Panageas KS. How to build and interpret a nomogram for cancer prognosis. J Clin Oncol. 2008;26:1364-1370. [PMID: 18323559 DOI: 10.1200/jco.2007.12.9791] [Cited by in Crossref: 888] [Cited by in F6Publishing: 620] [Article Influence: 63.4] [Reference Citation Analysis]
Number Citing Articles
1 Wang H, Zhang L, Liu Z, Wang X, Geng S, Li J, Li T, Ye S. Predicting medication nonadherence risk in a Chinese inflammatory rheumatic disease population: development and assessment of a new predictive nomogram. Patient Prefer Adherence 2018;12:1757-65. [PMID: 30237698 DOI: 10.2147/PPA.S159293] [Cited by in Crossref: 22] [Cited by in F6Publishing: 17] [Article Influence: 5.5] [Reference Citation Analysis]
2 Janssen SJ, van der Heijden AS, van Dijke M, Ready JE, Raskin KA, Ferrone ML, Hornicek FJ, Schwab JH. 2015 Marshall Urist Young Investigator Award: Prognostication in Patients With Long Bone Metastases: Does a Boosting Algorithm Improve Survival Estimates? Clin Orthop Relat Res 2015;473:3112-21. [PMID: 26155769 DOI: 10.1007/s11999-015-4446-z] [Cited by in Crossref: 35] [Cited by in F6Publishing: 33] [Article Influence: 5.0] [Reference Citation Analysis]
3 Meng Y, Yang Y, Zhang Y, Li X. Construction and Validation of Nomograms for Predicting the Prognosis of Uterine Leiomyosarcoma: A Population-Based Study. Med Sci Monit 2020;26:e922739. [PMID: 32270788 DOI: 10.12659/MSM.922739] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Liu L, Zhao J, Du X, Zhao Y, Zou C, Zhou H, Li W, Yan X. Construction and validation of a novel aging-related gene signature and prognostic nomogram for predicting the overall survival in ovarian cancer. Cancer Med 2021;10:9097-114. [PMID: 34825509 DOI: 10.1002/cam4.4404] [Reference Citation Analysis]
5 Zheng W, Li K, Zhu W, Ding Y, Wu Q, Tang Q, Lu C, Zhao Q, Yu S, Guo C. Nomogram prediction of overall survival based on log odds of positive lymph nodes for patients with penile squamous cell carcinoma. Cancer Med 2020;9:5425-35. [PMID: 32519819 DOI: 10.1002/cam4.3232] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
6 Zhang L, Yan L, Niu H, Ma J, Yuan BY, Chen YH, Zhuang Y, Hu Y, Zeng ZC, Xiang ZL. A nomogram to predict prognosis of patients with unresected hepatocellular carcinoma undergoing radiotherapy: a population-based study. J Cancer 2019;10:4564-73. [PMID: 31528220 DOI: 10.7150/jca.30365] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
7 Chen K, Zhu P, Liao Y, Yan L, Feng R, Zhai W. An Apoptotic Gene Signature for the Prognosis of Hepatocellular Carcinoma. Onco Targets Ther 2021;14:1589-604. [PMID: 33688206 DOI: 10.2147/OTT.S293610] [Reference Citation Analysis]
8 Kim MK, Kim JW, Lee JM, Lee NW, Cha MS, Kim BG, Lee KH, Kim YT, Kim JH, Song ES, Kim MH, Ryu SY, Kim WG, Kim YT, Kim KT, Kang SB. Validation of a nomogram for predicting outcome of vulvar cancer patients, primarily treated by surgery, in Korean population: multicenter retrospective study through Korean Gynecologic Oncology Group (KGOG-1010). J Gynecol Oncol 2008;19:191-4. [PMID: 19471576 DOI: 10.3802/jgo.2008.19.3.191] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.2] [Reference Citation Analysis]
9 Noh JJ, Lim MC, Kim MH, Kim YH, Song ES, Seong SJ, Suh DH, Lee JM, Lee C, Choi CH. The Prognostic Model of Pre-Treatment Complete Blood Count (CBC) for Recurrence in Early Cervical Cancer. J Clin Med 2020;9:E2960. [PMID: 32933192 DOI: 10.3390/jcm9092960] [Reference Citation Analysis]
10 Liu J, Su M, Hong S, Gao H, Zheng X, Wang S. Nomogram predicts survival benefit from preoperative radiotherapy for non-metastatic breast cancer: A SEER-based study. Oncotarget 2017;8:49861-8. [PMID: 28591713 DOI: 10.18632/oncotarget.17991] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
11 Xia Y, Zhang Y, Yuan S, Chen J, Zheng W, Xu X, Xie X, Zhang J. A nomogram to early predict isolation length for non-severe COVID-19 patients based on laboratory investigation: A multicenter retrospective study in Zhejiang Province, China. Clin Chim Acta 2021;512:49-57. [PMID: 33279501 DOI: 10.1016/j.cca.2020.11.019] [Reference Citation Analysis]
12 Shan Q, Shi J, Wang X, Guo J, Han X, Wang Z, Wang H. A new nomogram and risk classification system for predicting survival in small cell lung cancer patients diagnosed with brain metastasis: a large population-based study. BMC Cancer 2021;21:640. [PMID: 34051733 DOI: 10.1186/s12885-021-08384-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Zhu YJ, Chen Y, Hu HY, Zhou YW, Zhu YT, Liu JY. Predictive Risk Factors and Online Nomograms for Synchronous Colon Cancer With Liver Metastasis. Front Oncol 2020;10:1681. [PMID: 33123459 DOI: 10.3389/fonc.2020.01681] [Reference Citation Analysis]
14 Qu S, Qiu O, Hu Z. The prognostic factors and nomogram for patients with high-grade gliomas. Fundamental Research 2021;1:824-8. [DOI: 10.1016/j.fmre.2021.07.005] [Reference Citation Analysis]
15 He L, Chen J, Xu F, Li J, Li J. Prognostic Implication of a Metabolism-Associated Gene Signature in Lung Adenocarcinoma. Mol Ther Oncolytics 2020;19:265-77. [PMID: 33209981 DOI: 10.1016/j.omto.2020.09.011] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
16 Shen L, Ma X, Jiang T, Shen X, Yang W, You C, Peng W. Malignancy Risk Stratification Prediction of Amorphous Calcifications Based on Clinical and Mammographic Features. Cancer Manag Res 2021;13:235-45. [PMID: 33469367 DOI: 10.2147/CMAR.S286269] [Reference Citation Analysis]
17 Su X, Liu Y, Wang H, Chen N, Sun H, Yang X, Wang W, Zhang S, Wan X, Tan Q, Yue Q, Gong Q. Multimodal MR imaging signatures to identify brain diffuse midline gliomas with H3 K27M mutation. Cancer Medicine. [DOI: 10.1002/cam4.4500] [Reference Citation Analysis]
18 Wang X, Mao M, He Z, Zhang L, Li H, Lin J, He Y, Dai S, Hu W, Liu W. Development and Validation of a Prognostic Nomogram in AFP-negative hepatocellular carcinoma. Int J Biol Sci 2019;15:221-8. [PMID: 30662361 DOI: 10.7150/ijbs.28720] [Cited by in Crossref: 22] [Cited by in F6Publishing: 23] [Article Influence: 7.3] [Reference Citation Analysis]
19 Luo X, Liu S, Chen Y, Qiu X, Huang D, Zhang D, Liang Q, Yang Y, Zeng X. Predicting cancer-specific mortality in patients with parotid gland carcinoma by competing risk nomogram. Head Neck 2021;43:3888-98. [PMID: 34632674 DOI: 10.1002/hed.26890] [Reference Citation Analysis]
20 Jiang L, Ye L, Ma L, Ren Y, Zhou X, Mei C, Xu G, Yang H, Lu C, Luo Y, Zhu S, Wang L, Shen C, Yang W, Zhang Q, Wang Y, Lang W, Han Y, Jin J, Tong H. Predictive values of mutational variant allele frequency in overall survival and leukemic progression of myelodysplastic syndromes. J Cancer Res Clin Oncol 2022. [PMID: 35013795 DOI: 10.1007/s00432-021-03905-y] [Reference Citation Analysis]
21 Chen FP, Lin L, Qi ZY, Zhou GQ, Guo R, Hu J, Lin AH, Ma J, Sun Y. Pretreatment Nomograms for Local and Regional Recurrence after Radical Radiation Therapy for Primary Nasopharyngeal Carcinoma. J Cancer 2017;8:2595-603. [PMID: 28900497 DOI: 10.7150/jca.20255] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 2.2] [Reference Citation Analysis]
22 Li S, Huang J, Yang F, Zeng H, Tong Y, Li K. High expression of PARD3 predicts poor prognosis in hepatocellular carcinoma. Sci Rep 2021;11:11078. [PMID: 34040099 DOI: 10.1038/s41598-021-90507-w] [Reference Citation Analysis]
23 Han E, Kim JH, You JS, Son WJ, Beom JH. Predictive model for diagnosing central lesions in emergency department patients with isolated dizziness who undergo diffusion-weighted magnetic resonance imaging. Acad Emerg Med 2021. [PMID: 34414635 DOI: 10.1111/acem.14352] [Reference Citation Analysis]
24 Zhang B, Zhang L, Yue D, Li C, Zhang H, Ye J, Gao L, Zhao X, Chen C, Huo Y, Pang C, Li Y, Chen Y, Chuai S, Zhang Z, Giaccone G, Wang C. Genomic characteristics in Chinese non-small cell lung cancer patients and its value in prediction of postoperative prognosis. Transl Lung Cancer Res 2020;9:1187-201. [PMID: 32953497 DOI: 10.21037/tlcr-19-664] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
25 Lai J, Wang H, Peng J, Chen P, Pan Z. Establishment and external validation of a prognostic model for predicting disease-free survival and risk stratification in breast cancer patients treated with neoadjuvant chemotherapy. Cancer Manag Res 2018;10:2347-56. [PMID: 30122984 DOI: 10.2147/CMAR.S171129] [Cited by in Crossref: 10] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
26 Li C, Xu F, Han D, Zheng S, Ma W, Yang R, Wang Z, Liu Y, Lyu J. Developing and verifying a multivariate model to predict the survival probability after coronary artery bypass grafting in patients with coronary atherosclerosis based on the MIMIC-III database. Heart Lung 2021;52:61-70. [PMID: 34875570 DOI: 10.1016/j.hrtlng.2021.11.009] [Reference Citation Analysis]
27 Liang J, Sui Q, Zheng Y, Bi G, Chen Z, Li M, Huang Y, Lu T, Zhan C, Guo W. A nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study. J Thorac Dis 2020;12:2288-303. [PMID: 32642134 DOI: 10.21037/jtd.2020.03.115] [Reference Citation Analysis]
28 Li ZH, Xie PY, Zhang DF, Li YJ, Wu L, Dong J, Xiao J, Liu ZY. Nomogram for predicting disease-free survival among a multicenter cohort of Chinese patients with locally advanced rectal cancer. Cancer Manag Res 2019;11:2471-83. [PMID: 31114319 DOI: 10.2147/CMAR.S196614] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
29 Bian Y, Liang J, Shan G, Zhan C, Fan H. Combining Clinical and Molecular Characteristics to Precisely Predict the Prognosis of Malignant Pleural Mesothelioma. J Thorac Oncol 2021;16:e99-e100. [PMID: 34809808 DOI: 10.1016/j.jtho.2021.07.036] [Reference Citation Analysis]
30 Li J, Zhou L, Liu Y, Yang L, Jiang D, Li K, Xie S, Wang X, Wang S. Comprehensive Analysis of Cyclin Family Gene Expression in Colon Cancer. Front Oncol 2021;11:674394. [PMID: 33996604 DOI: 10.3389/fonc.2021.674394] [Reference Citation Analysis]
31 She Y, Zhao L, Dai C, Ren Y, Zha J, Xie H, Jiang S, Shi J, Shi S, Shi W, Yu B, Jiang G, Fei K, Chen Y, Chen C. Preoperative nomogram for identifying invasive pulmonary adenocarcinoma in patients with pure ground-glass nodule: A multi-institutional study. Oncotarget 2017;8:17229-38. [PMID: 27542241 DOI: 10.18632/oncotarget.11236] [Cited by in Crossref: 28] [Cited by in F6Publishing: 29] [Article Influence: 5.6] [Reference Citation Analysis]
32 Xu D, Dang W, Wang S, Hu B, Yin L, Guan B. An optimal prognostic model based on gene expression for clear cell renal cell carcinoma. Oncol Lett 2020;20:2420-34. [PMID: 32782559 DOI: 10.3892/ol.2020.11780] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
33 Wang C, Dai L, Wu X, Wang Z. A nomogram for predicting overall-specific survival in thyroid cancer patients with total thyroidectomy: a SEER database analysis. Gland Surg 2021;10:2546-56. [PMID: 34527566 DOI: 10.21037/gs-21-520] [Reference Citation Analysis]
34 Wu M, Hu Y, Ren A, Peng X, Ma Q, Mao C, Hang J, Li A. Nomogram Based on Ultrasonography and Clinical Features for Predicting Malignancy in Soft Tissue Tumors. Cancer Manag Res 2021;13:2143-52. [PMID: 33688257 DOI: 10.2147/CMAR.S296972] [Reference Citation Analysis]
35 Zhang J, Jiang L, Zhu X. A Novel Nomogram for Prediction of Early Postoperative Complications of Total Gastrectomy for Gastric Cancer. Cancer Manag Res 2021;13:7579-91. [PMID: 34629904 DOI: 10.2147/CMAR.S333172] [Reference Citation Analysis]
36 Yang M, Tao L, An H, Liu G, Tu Q, Zhang H, Qin L, Xiao Z, Wang Y, Fan J, Feng D, Liang Y, Ren J. A novel nomogram to predict all-cause readmission or death risk in Chinese elderly patients with heart failure. ESC Heart Fail 2020;7:1015-24. [PMID: 32319228 DOI: 10.1002/ehf2.12703] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
37 Zhang Q, Zhao K, Song L, Ji C, Cong R, Luan J, Zhou X, Xia J, Song N. A Novel Apoptosis-Related Gene Signature Predicts Biochemical Recurrence of Localized Prostate Cancer After Radical Prostatectomy. Front Genet 2020;11:586376. [PMID: 33329725 DOI: 10.3389/fgene.2020.586376] [Reference Citation Analysis]
38 Zhang B, Tang B, Gao J, Li J, Kong L, Qin L. A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients. J Transl Med 2020;18:342. [PMID: 32887635 DOI: 10.1186/s12967-020-02492-9] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 5.5] [Reference Citation Analysis]
39 Li F, Wei RB, Wang Y, Su TY, Li P, Huang MJ, Chen XM. Nomogram prediction model for renal anaemia in IgA nephropathy patients. Open Med (Wars) 2021;16:718-27. [PMID: 34013043 DOI: 10.1515/med-2021-0284] [Reference Citation Analysis]
40 Zhang C, Zhao R, Chen F, Zhu Y, Chen L. Preoperative prediction of microvascular invasion in non-metastatic hepatocellular carcinoma based on nomogram analysis. Transl Oncol 2021;14:100875. [PMID: 32979686 DOI: 10.1016/j.tranon.2020.100875] [Reference Citation Analysis]
41 Chan KM, Lee CF, Wu TJ, Chou HS, Yu MC, Lee WC, Chen MF. Adverse outcomes in patients with postoperative ascites after liver resection for hepatocellular carcinoma. World J Surg. 2012;36:392-400. [PMID: 22131090 DOI: 10.1007/s00268-011-1367-1] [Cited by in Crossref: 31] [Cited by in F6Publishing: 28] [Article Influence: 3.1] [Reference Citation Analysis]
42 Narasimhaiah D, Legrand C, Damotte D, Remark R, Munda M, De Potter P, Coulie PG, Vikkula M, Godfraind C. DNA alteration-based classification of uveal melanoma gives better prognostic stratification than immune infiltration, which has a neutral effect in high-risk group. Cancer Med 2019;8:3036-46. [PMID: 31025552 DOI: 10.1002/cam4.2122] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
43 Chen Y, Chen L, Wang J, Tan J, Wang S. Identification of Six Autophagy-Related-lncRNA Prognostic Biomarkers in Uveal Melanoma. Dis Markers 2021;2021:2401617. [PMID: 34426753 DOI: 10.1155/2021/2401617] [Reference Citation Analysis]
44 Du X, Guo CN, Bao XD. A Powerful Nomogram Based on the Novel D-Index to Predict Prognosis After Surgical Resection of Hepatocellular Carcinoma. Cancer Manag Res 2021;13:2581-94. [PMID: 33762849 DOI: 10.2147/CMAR.S305253] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
45 Pan J, Dai Q, Xiang Z, Liu B, Li C. Three Biomarkers Predict Gastric Cancer Patients' Susceptibility To Fluorouracil-based Chemotherapy. J Cancer 2019;10:2953-60. [PMID: 31281472 DOI: 10.7150/jca.31120] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.3] [Reference Citation Analysis]
46 Wang Y, Wang K, Ni J, Zhang H, Yin L, Zhang Y, Shi H, Zhang T, Zhou N, Mao W, Peng B. Combination of C-Reactive Protein and Neutrophil-to-Lymphocyte Ratio as a Novel Prognostic Index in Patients With Bladder Cancer After Radical Cystectomy. Front Oncol 2021;11:762470. [PMID: 34926263 DOI: 10.3389/fonc.2021.762470] [Reference Citation Analysis]
47 Wang B, Chen J. Establishment and validation of a predictive model for mortality within 30 days in patients with sepsis-induced blood pressure drop: A retrospective analysis. PLoS One 2021;16:e0252009. [PMID: 34015023 DOI: 10.1371/journal.pone.0252009] [Reference Citation Analysis]
48 Nyberg T, Hed Myrberg I, Omerov P, Steineck G, Nyberg U. Depression among Parents Two to Six Years Following the Loss of a Child by Suicide: A Novel Prediction Model. PLoS One 2016;11:e0164091. [PMID: 27695063 DOI: 10.1371/journal.pone.0164091] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
49 Wu ZH, Tang Y, Zhou Y. A Metabolic Gene Signature to Predict Overall Survival in Head and Neck Squamous Cell Carcinoma. Mediators Inflamm 2020;2020:6716908. [PMID: 33456371 DOI: 10.1155/2020/6716908] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
50 Han D, Xu F, Li C, Zhang L, Yang R, Zheng S, Wang Z, Lyu J. A Novel Nomogram for Predicting Survival in Patients with Severe Acute Pancreatitis: An Analysis Based on the Large MIMIC-III Clinical Database. Emerg Med Int 2021;2021:9190908. [PMID: 34676117 DOI: 10.1155/2021/9190908] [Reference Citation Analysis]
51 Feng JF, Chen S, Yang X. Systemic immune-inflammation index (SII) is a useful prognostic indicator for patients with squamous cell carcinoma of the esophagus. Medicine (Baltimore) 2017;96:e5886. [PMID: 28121932 DOI: 10.1097/MD.0000000000005886] [Cited by in Crossref: 27] [Cited by in F6Publishing: 27] [Article Influence: 5.4] [Reference Citation Analysis]
52 Jia Z, Yan Y, Wang J, Yang H, Zhan H, Chen Q, He Y, Hu Y. Development and Validation of Prognostic Nomogram in Patients With WHO Grade III Meningioma: A Retrospective Cohort Study Based on SEER Database. Front Oncol 2021;11:719974. [PMID: 34926244 DOI: 10.3389/fonc.2021.719974] [Reference Citation Analysis]
53 Jin X, Jiang YZ, Chen S, Shao ZM, Di GH. A Nomogram for Predicting the Pathological Response of Axillary Lymph Node Metastasis in Breast Cancer Patients. Sci Rep 2016;6:32585. [PMID: 27576704 DOI: 10.1038/srep32585] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 2.3] [Reference Citation Analysis]
54 Lee WK, Chong GO, Jeong SY, Lee HJ, Park SH, Ryu JM, Choi YS, Kang S, Koo YJ, Lee DH, Kong E, Lee SW. Prognosis-Predicting Model Based on [18F]fluorodeoxyglucose PET Metabolic Parameters in Locally Advanced Cervical Cancer Patients Treated with Concurrent Chemoradiotherapy: Multi-Center Retrospective Study. J Clin Med 2020;9:E427. [PMID: 32033340 DOI: 10.3390/jcm9020427] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
55 Li S, Gao Y, Shao M, Tang B, Cao W, Sun X. Association between coagulation function and patients with primary angle closure glaucoma: a 5-year retrospective case-control study. BMJ Open 2017;7:e016719. [PMID: 29102986 DOI: 10.1136/bmjopen-2017-016719] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.4] [Reference Citation Analysis]
56 Fan S, Li T, Zhou P, Peng Q, Zhu Y. Development and validation of nomogram combining serum biomarker for predicting survival in patients with resected rectal cancer. Biosci Rep 2019;39:BSR20192636. [PMID: 31693739 DOI: 10.1042/BSR20192636] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
57 Zhu H, Ji K, Wu W, Zhao S, Zhou J, Zhang C, Tang R, Miao L. Describing Treatment Patterns for Elderly Patients with Intrahepatic Cholangiocarcinoma and Predicting Prognosis by a Validated Model: A Population-Based Study. J Cancer 2021;12:3114-25. [PMID: 33976721 DOI: 10.7150/jca.53978] [Reference Citation Analysis]
58 Chen YS, Cai YX, Kang XR, Zhou ZH, Qi X, Ying CT, Zhang YP, Tao J. Predicting the risk of sarcopenia in elderly patients with patellar fracture: development and assessment of a new predictive nomogram. PeerJ 2020;8:e8793. [PMID: 32328345 DOI: 10.7717/peerj.8793] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
59 Wang Y, Zhou CW, Zhu GQ, Li N, Qian XL, Chong HH, Yang C, Zeng MS. A multidimensional nomogram combining imaging features and clinical factors to predict the invasiveness and metastasis of combined hepatocellular cholangiocarcinoma. Ann Transl Med 2021;9:1518. [PMID: 34790724 DOI: 10.21037/atm-21-2500] [Reference Citation Analysis]
60 Ye S, Bai L. Comparison and validation of the value of preoperative inflammation marker-based prognostic scores in resectable pancreatic ductal adenocarcinoma. Cancer Manag Res 2018;10:3405-17. [PMID: 30237742 DOI: 10.2147/CMAR.S173444] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
61 Peng Y, Shui L, Xie J, Liu S. Development and validation of a novel 15-CpG-based signature for predicting prognosis in triple-negative breast cancer. J Cell Mol Med 2020;24:9378-87. [PMID: 32649035 DOI: 10.1111/jcmm.15588] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
62 Zhu J, Huang R, Hu D, Dou Y, Ren H, Yang Z, Deng C, Xiong W, Wang D, Mao Y, Li X, Su X. Individualized Prediction Of Metastatic Involvement Of Lymph Nodes Posterior To The Right Recurrent Laryngeal Nerve In Papillary Thyroid Carcinoma. Onco Targets Ther 2019;12:9077-84. [PMID: 31806992 DOI: 10.2147/OTT.S220926] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.3] [Reference Citation Analysis]
63 Zhang W, Gao P, Gao J, Wu X, Liu G, Zhang X. A Clinical Nomogram for Predicting Lymph Node Metastasis in Penile Cancer: A SEER-Based Study. Front Oncol 2021;11:640036. [PMID: 33768001 DOI: 10.3389/fonc.2021.640036] [Reference Citation Analysis]
64 Ruchong P, Haiping T, Xiang W. A Five-Gene Prognostic Nomogram Predicting Disease-Free Survival of Differentiated Thyroid Cancer. Dis Markers 2021;2021:5510780. [PMID: 34221185 DOI: 10.1155/2021/5510780] [Reference Citation Analysis]
65 Ren H, Zhu J, Yu H, Bazhin AV, Westphalen CB, Renz BW, Jacob SN, Lampert C, Werner J, Angele MK, Bösch F. Angiogenesis-Related Gene Expression Signatures Predicting Prognosis in Gastric Cancer Patients. Cancers (Basel) 2020;12:E3685. [PMID: 33302481 DOI: 10.3390/cancers12123685] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
66 Zhao W, Wu L, Zhao A, Zhang M, Tian Q, Shen Y, Wang F, Wang B, Wang L, Chen L, Zhao X, Dong D, Zhang L, Yang J. A nomogram for predicting survival in patients with de novo metastatic breast cancer: a population-based study. BMC Cancer 2020;20:982. [PMID: 33046035 DOI: 10.1186/s12885-020-07449-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
67 Feng JF, Sheng C, Zhao Q, Chen P. Prognostic value of mean platelet volume/platelet count ratio in patients with resectable esophageal squamous cell carcinoma: a retrospective study. PeerJ 2019;7:e7246. [PMID: 31328033 DOI: 10.7717/peerj.7246] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
68 Zivanovic O, Jacks LM, Iasonos A, Leitao MM, Soslow RA, Veras E, Chi DS, Abu-Rustum NR, Barakat RR, Brennan MF, Hensley ML. A nomogram to predict postresection 5-year overall survival for patients with uterine leiomyosarcoma. Cancer. 2012;118:660-669. [PMID: 21751199 DOI: 10.1002/cncr.26333] [Cited by in Crossref: 77] [Cited by in F6Publishing: 65] [Article Influence: 7.0] [Reference Citation Analysis]
69 Mao S, Yu X, Shan Y, Fan R, Wu S, Lu C. Albumin-Bilirubin (ALBI) and Monocyte to Lymphocyte Ratio (MLR)-Based Nomogram Model to Predict Tumor Recurrence of AFP-Negative Hepatocellular Carcinoma. J Hepatocell Carcinoma 2021;8:1355-65. [PMID: 34805014 DOI: 10.2147/JHC.S339707] [Reference Citation Analysis]
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