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For: Park SY. Nomogram: An analogue tool to deliver digital knowledge. J Thorac Cardiovasc Surg 2018;155:1793. [PMID: 29370910 DOI: 10.1016/j.jtcvs.2017.12.107] [Cited by in Crossref: 34] [Cited by in F6Publishing: 83] [Article Influence: 8.5] [Reference Citation Analysis]
Number Citing Articles
1 Zhang Y, Maimaiti R, Lou S, Abula R, Abulaiti A, Kelimu A. Risk prediction of autism spectrum disorder behaviors among children based on blood elements by nomogram: A cross-sectional study in Xinjiang from 2018 to 2019. Journal of Affective Disorders 2022;318:1-6. [DOI: 10.1016/j.jad.2022.08.130] [Reference Citation Analysis]
2 Chen J, Chen S, Li B, Zhou S, Lin H. A pyroptosis-related signature predicts prognosis and indicates immune microenvironment infiltration in glioma. Cancer Med 2022. [PMID: 36161280 DOI: 10.1002/cam4.5247] [Reference Citation Analysis]
3 Liu P, Guo W, Su Y, Chen C, Ma Y, Ma P, Chen C, Lv X. Multi-Omics Analysis of GNL3L Expression, Prognosis, and Immune Value in Pan-Cancer. Cancers 2022;14:4595. [DOI: 10.3390/cancers14194595] [Reference Citation Analysis]
4 Pan R, Pan F, Zeng Z, Lei S, Yang Y, Yang Y, Hu C, Chen H, Tian X. A novel immune cell signature for predicting osteosarcoma prognosis and guiding therapy. Front Immunol 2022;13:1017120. [DOI: 10.3389/fimmu.2022.1017120] [Reference Citation Analysis]
5 Qing J, Zheng F, Zhi H, Yaigoub H, Tirichen H, Li Y, Zhao J, Qiang Y, Li Y. Identification of Unique Genetic Biomarkers of Various Subtypes of Glomerulonephritis Using Machine Learning and Deep Learning. Biomolecules 2022;12:1276. [PMID: 36139115 DOI: 10.3390/biom12091276] [Reference Citation Analysis]
6 Zeng Z, Hu C, Ruan W, Zhang J, Lei S, Yang Y, Peng P, Pan F, Chen T. A specific immune signature for predicting the prognosis of glioma patients with IDH1-mutation and guiding immune checkpoint blockade therapy. Front Immunol 2022;13:1001381. [DOI: 10.3389/fimmu.2022.1001381] [Reference Citation Analysis]
7 Meng X, Wang N, Yu M, Kong D, Zhang Z, Chang X, Guo Y, Li Y. Development of a nomogram for predicting grade 2 or higher acute hematologic toxicity of cervical cancer after the pelvic bone marrow sparing radiotherapy. Front Public Health 2022;10:993443. [DOI: 10.3389/fpubh.2022.993443] [Reference Citation Analysis]
8 Huang G, Jin Q, Li M, Tian X, Mao Y, Li Y. The potential value of low-level serum interleukin-38 for the clinical diagnosis and risk prediction of hyperuricemia. International Immunopharmacology 2022;110:109069. [DOI: 10.1016/j.intimp.2022.109069] [Reference Citation Analysis]
9 Zheng J, Li S, Zhao Y, Tao Z, Li L, Li Z, Li M, Chen X. Nomograms for predicting overall and cancer-specific survival of patients with chromophobe renal cell carcinoma after nephrectomy: a retrospective SEER-based study. BMJ Open 2022;12:e062129. [DOI: 10.1136/bmjopen-2022-062129] [Reference Citation Analysis]
10 Liu Q, Sun D, Wang Y, Li P, Jiang T, Dai L, Duo M, Wu R, Cheng Z. Use of machine learning models to predict prognosis of combined pulmonary fibrosis and emphysema in a Chinese population. BMC Pulm Med 2022;22:327. [PMID: 36038872 DOI: 10.1186/s12890-022-02124-6] [Reference Citation Analysis]
11 Hu B, Chen W, Xu N, Lv J, Sun S, Mai Y. Clinical characteristics and cancer-specific survival analysis of double primary cancer patients with lung cancer as the first primary cancer. Medicine (Baltimore) 2022;101:e30173. [PMID: 36042670 DOI: 10.1097/MD.0000000000030173] [Reference Citation Analysis]
12 Fu R, Yang M, Li Z, Kang Z, Xun M, Wang Y, Wang M, Wang X. Risk assessment and prediction model of renal damage in childhood immunoglobulin A vasculitis. Front Pediatr 2022;10:967249. [DOI: 10.3389/fped.2022.967249] [Reference Citation Analysis]
13 Hu JS, Huang CB, Mao SM, Fang KH, Wu ZY, Zhao YM. Development of a nomogram to predict surgical site infection after closed comminuted calcaneal fracture. BMC Surg 2022;22:313. [PMID: 35962373 DOI: 10.1186/s12893-022-01735-4] [Reference Citation Analysis]
14 Ling L, Zhang W, Peng Q, Tong J, Hussein AF. Development of a Nomogram Model to Predict in-Hospital Survival in Patients with Multiple Trauma. Computational and Mathematical Methods in Medicine 2022;2022:1-12. [DOI: 10.1155/2022/7107063] [Reference Citation Analysis]
15 Muertizha M, Cai X, Ji B, Aimaiti A, Cao L. Factors contributing to 1-year dissatisfaction after total knee arthroplasty: a nomogram prediction model. J Orthop Surg Res 2022;17:367. [PMID: 35902950 DOI: 10.1186/s13018-022-03205-2] [Reference Citation Analysis]
16 Li J, Yu H, Yao J, Jiang Z, Li Z, Cui X, Wu G. Integrative Analysis and Experimental Validation Indicated That SNHG17 Is a Prognostic Marker in Prostate Cancer and a Modulator of the Tumor Microenvironment via a Competitive Endogenous RNA Regulatory Network. Oxidative Medicine and Cellular Longevity 2022;2022:1-24. [DOI: 10.1155/2022/1747604] [Reference Citation Analysis]
17 Rao G, Pan H, Sheng X, Liu J. Prognostic Value of Stem Cell Index-Related Characteristics in Primary Hepatocellular Carcinoma. Contrast Media Mol Imaging 2022;2022:2672033. [PMID: 35800238 DOI: 10.1155/2022/2672033] [Reference Citation Analysis]
18 Liu J, Lu J, Li W, Mao W, Lu Y. Machine Learning Screens Potential Drugs Targeting a Prognostic Gene Signature Associated With Proliferation in Hepatocellular Carcinoma. Front Genet 2022;13:900380. [DOI: 10.3389/fgene.2022.900380] [Reference Citation Analysis]
19 Lv S, Lin M, Yang Z, Xu C, Wu Z. Survival Analysis and Prediction Model of ASCP Based on SEER Database. Front Oncol 2022;12:909257. [DOI: 10.3389/fonc.2022.909257] [Reference Citation Analysis]
20 Huang Y, Wang HY, Jian W, Yang ZJ, Gui C. Development and validation of a nomogram to predict the risk of death within 1 year in patients with non-ischemic dilated cardiomyopathy: a retrospective cohort study. Sci Rep 2022;12:8513. [PMID: 35595787 DOI: 10.1038/s41598-022-12249-7] [Reference Citation Analysis]
21 Chen L, Huang S, Liu Q, Kong X, Su Z, Zhu M, Fang Y, Zhang L, Li X, Wang J. PD-L1 Protein Expression Is Associated With Good Clinical Outcomes and Nomogram for Prediction of Disease Free Survival and Overall Survival in Breast Cancer Patients Received Neoadjuvant Chemotherapy. Front Immunol 2022;13:849468. [DOI: 10.3389/fimmu.2022.849468] [Reference Citation Analysis]
22 Cai Y, Wu S, Jia Y, Pan X, Li C, Cui D. Potential Key Markers for Predicting the Prognosis of Gastric Adenocarcinoma Based on the Expression of Ferroptosis-Related lncRNA. Journal of Immunology Research 2022;2022:1-17. [DOI: 10.1155/2022/1249290] [Reference Citation Analysis]
23 Chen Z, Xu Z, Wu H, Gao S, Wang H, Jiang J, Li X, Chen L. Derivation and validation of a nomogram for predicting nonventilator hospital-acquired pneumonia among older hospitalized patients. BMC Pulm Med 2022;22. [DOI: 10.1186/s12890-022-01941-z] [Reference Citation Analysis]
24 Chen J, Yang Y, Yao H, Bu S, Li L, Wang F, Chen F, Yao H. Prediction of Prognosis in Adult Patients With Carbapenem-Resistant Klebsiella pneumoniae Infection. Front Cell Infect Microbiol 2021;11:818308. [PMID: 35087768 DOI: 10.3389/fcimb.2021.818308] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
25 Yang Z, Gong D, Huang F, Sun Y, Hu Q. Epidemiological Characteristics and the Development of Prognostic Nomograms of Patients With HIV-Associated Cutaneous T-Cell Lymphoma. Front Oncol 2022;12:847710. [PMID: 35372067 DOI: 10.3389/fonc.2022.847710] [Reference Citation Analysis]
26 Sheng Q, Cai C, Li P, Chen L, Zhang X, Wang X, Gong Y. Development and Validation of a Nomogram for Predicting the Unresolved Risk of Parents of Adolescents With Psychiatric Diagnoses. Front Psychiatry 2022;13:796384. [DOI: 10.3389/fpsyt.2022.796384] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
27 Zhang L, Chen Y, Liu J, Yu Y, Cui H, Chen Q, Chen K, Yang C, Yang Y. Novel physical performance-based models for activities of daily living disability prediction among Chinese older community population: a nationally representative survey in China. BMC Geriatr 2022;22:267. [PMID: 35361135 DOI: 10.1186/s12877-022-02905-y] [Reference Citation Analysis]
28 Liu J, Lu J, Li W. Transcriptome analysis reveals the prognostic and immune infiltration characteristics of glycolysis and hypoxia in head and neck squamous cell carcinoma. BMC Cancer 2022;22:352. [PMID: 35361159 DOI: 10.1186/s12885-022-09449-9] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Ping H, Jia X, Ke H. A Novel Ferroptosis-Related lncRNAs Signature Predicts Clinical Prognosis and Is Associated With Immune Landscape in Pancreatic Cancer. Front Genet 2022;13:786689. [PMID: 35330729 DOI: 10.3389/fgene.2022.786689] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
30 Zhang C, Huang R, Xi X. Comprehensive Analysis of Pyroptosis-Related Genes and Tumor Microenvironment Infiltration Characterization in Papillary Renal Cell Carcinoma. Front Mol Biosci 2022;9:871602. [DOI: 10.3389/fmolb.2022.871602] [Reference Citation Analysis]
31 Cheng X, Zhou L, Liu W, Li Y, Peng M, Wang Y. Construction and Verification of Risk Predicting Models to Evaluate the Possibility of Venous Thromboembolism After Robot-Assisted Radical Prostatectomy. Ann Surg Oncol 2022. [PMID: 35316433 DOI: 10.1245/s10434-022-11574-5] [Reference Citation Analysis]
32 Lv B, Zhang Y, Yuan G, Gu R, Wang J, Zou Y, Wei L. Establishment of a nomogram model for predicting adverse outcomes in advanced-age pregnant women with preterm preeclampsia. BMC Pregnancy Childbirth 2022;22. [DOI: 10.1186/s12884-022-04537-x] [Reference Citation Analysis]
33 Wang L, Jin H, Zeng Y, Tan Y, Wang J, Fu W, Chen W, Cui K, Qiu Z, Zhou Z. HOXB4 Mis-Regulation Induced by Microcystin-LR and Correlated With Immune Infiltration Is Unfavorable to Colorectal Cancer Prognosis. Front Oncol 2022;12:803493. [PMID: 35211403 DOI: 10.3389/fonc.2022.803493] [Reference Citation Analysis]
34 Dang X, Zhang L, Bao Y, Xu J, Du H, Wang S, Liu Y, Deng D, Chen S, Zeng W, Feng L, Liu H. Developing and Validating Nomogram to Predict Severe Postpartum Hemorrhage in Women With Placenta Previa Undergoing Cesarean Delivery: A Multicenter Retrospective Case-Control Study. Front Med 2022;8:789529. [DOI: 10.3389/fmed.2021.789529] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
35 Liu T, Wang C, Wang L, Shi X, Li X, Chen J, Xuan H, Li D, Xu T. Development and Validation of a Clinical and Laboratory-Based Nomogram for Predicting Coronary Microvascular Obstruction in NSTEMI Patients After Primary PCI. TCRM 2022;Volume 18:155-69. [DOI: 10.2147/tcrm.s353199] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
36 Li R, Jiang J, Song Y, Zhang J, Wu Y, Wu L, Zhu X, Zeng L. Prognostic Nomogram for Predicting Lower Extremity Deep Venous Thrombosis in Neurointensive Care Unit Patients: A Prospective Observational Study. Front Neurol 2022;12:761029. [DOI: 10.3389/fneur.2021.761029] [Reference Citation Analysis]
37 Liu J, Yang Y, Yan K, Zhu C, Jiang M. [Development and validation of nomograms for predicting stroke recurrence after firstepisode ischemic stroke]. Nan Fang Yi Ke Da Xue Xue Bao 2022;42:130-6. [PMID: 35249880 DOI: 10.12122/j.issn.1673-4254.2022.01.16] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
38 Zhai YH, Zheng Z, Deng W, Yin J, Bai ZG, Liu XY, Zhang J, Zhang ZT. Inflammation-related indicators to distinguish between gastric stromal tumors and leiomyomas: A retrospective study. World J Clin Cases 2022; 10(2): 458-468 [DOI: 10.12998/wjcc.v10.i2.458] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
39 Feng LH, Su T, Lu Y, Ren S, Huang L, Qin X, Liao T. A model for predicting the overall survival of gastroenteropancreatic neuroendocrine neoplasms after surgery. Scand J Gastroenterol 2022;:1-8. [PMID: 35001789 DOI: 10.1080/00365521.2021.2024247] [Reference Citation Analysis]
40 Jiang F, Xu Y, Liu L, Wang K, Wang L, Fu G, Wang L, Li Z, Xu J, Xing H, Wang N, Zhu Z, Peng Z. Construction and validation of a prognostic nomogram for predicting the survival of HIV/AIDS adults who received antiretroviral therapy: a cohort between 2003 and 2019 in Nanjing. BMC Public Health 2022;22:30. [PMID: 34991536 DOI: 10.1186/s12889-021-12249-8] [Reference Citation Analysis]
41 Ma K, Li J, Shen G, Zheng D, Xuan Y, Lu Y, Li W. Development and Validation of a Risk Nomogram Model for Predicting Contrast-Induced Acute Kidney Injury in Patients with Non-ST-Elevation Acute Coronary Syndrome Undergoing Primary Percutaneous Coronary Intervention. CIA 2022;Volume 17:65-77. [DOI: 10.2147/cia.s349159] [Reference Citation Analysis]
42 Du M, Feng J, Tao Y, Pan Q, Chen F. GNAO1 as a Novel Predictive Biomarker for Late Relapse in Hepatocellular Carcinoma. J Healthc Eng 2021;2021:7631815. [PMID: 34900204 DOI: 10.1155/2021/7631815] [Reference Citation Analysis]
43 Han C, Zhang C, Wang H, Li K, Zhao L. Angiogenesis-related lncRNAs predict the prognosis signature of stomach adenocarcinoma. BMC Cancer 2021;21:1312. [PMID: 34876056 DOI: 10.1186/s12885-021-08987-y] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
44 Li W, Wang H, Dong S, Tang ZR, Chen L, Cai X, Hu Z, Yin C. Establishment and validation of a nomogram and web calculator for the risk of new vertebral compression fractures and cement leakage after percutaneous vertebroplasty in patients with osteoporotic vertebral compression fractures. Eur Spine J 2021. [PMID: 34822018 DOI: 10.1007/s00586-021-07064-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 12] [Article Influence: 1.0] [Reference Citation Analysis]
45 Liu D, Sun X, Liu A, Li L, Li S, Li J, Liu X, Yang Y, Wu Z, Leng X, Wo Y, Huang Z, Su W, Du W, Yuan T, Jiao W. Predictive value of a novel Asian lung cancer screening nomogram based on artificial intelligence and epidemiological characteristics. Thorac Cancer 2021;12:3130-40. [PMID: 34713592 DOI: 10.1111/1759-7714.14140] [Reference Citation Analysis]
46 Yang D, Li M, Yue C, Hu W, Lu H. Development and validation of a prediction model for deep vein thrombosis in older non-mild acute pancreatitis patients. WJGS 2021;13:1257-65. [DOI: 10.4240/wjgs.v13.i10.1257] [Reference Citation Analysis]
47 Yang DJ, Li M, Yue C, Hu WM, Lu HM. Development and validation of a prediction model for deep vein thrombosis in older non-mild acute pancreatitis patients. World J Gastrointest Surg 2021; 13(10): 1258-1266 [PMID: 34754393 DOI: 10.4240/wjgs.v13.i10.1258] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
48 Liu J, Wang Y, Meng H, Yin Y, Zhu H, Ni T. Identification of the Prognostic Signature Associated With Tumor Immune Microenvironment of Uterine Corpus Endometrial Carcinoma Based on Ferroptosis-Related Genes. Front Cell Dev Biol 2021;9:735013. [PMID: 34692692 DOI: 10.3389/fcell.2021.735013] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
49 Xu X, Li X, Zhou J, Wang J. Mechanical Stimulus-Related Risk Signature Plays a Key Role in the Prognostic Nomogram For Endometrial Cancer. Front Oncol 2021;11:753910. [PMID: 34692538 DOI: 10.3389/fonc.2021.753910] [Reference Citation Analysis]
50 Cheng Q, Zhang H, Shang Y, Zhao Y, Zhang Y, Zhuang D, Cai X, Chen N. Clinical features and risk factors analysis of bronchitis obliterans due to refractory Mycoplasma pneumoniae pneumonia in children: a nomogram prediction model. BMC Infect Dis 2021;21:1085. [PMID: 34674642 DOI: 10.1186/s12879-021-06783-4] [Reference Citation Analysis]
51 Liu J, Lu J, Li W. A Comprehensive Prognostic and Immunological Analysis of a Six-Gene Signature Associated With Glycolysis and Immune Response in Uveal Melanoma. Front Immunol 2021;12:738068. [PMID: 34630418 DOI: 10.3389/fimmu.2021.738068] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
52 Liao T, Su T, Huang L, Li B, Feng LH. Development and validation of a novel nomogram for predicting survival rate in pancreatic neuroendocrine neoplasms. Scand J Gastroenterol 2021;:1-6. [PMID: 34592854 DOI: 10.1080/00365521.2021.1984571] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
53 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]
54 Liu X, Wu Y, Liu P, Zhang X. Developing a validated nomogram for predicting ovarian metastasis in endometrial cancer patients: a retrospective research. Arch Gynecol Obstet 2021. [PMID: 34495379 DOI: 10.1007/s00404-021-06214-4] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
55 Xu W, Yu X, Jiang H, Wang Y, Ye Y. A nomogram prediction of pressure injury in critical ill patients: A retrospective cohort study. Int Wound J 2021. [PMID: 34477312 DOI: 10.1111/iwj.13680] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
56 Xiao S, Zhang L, Wu Q, Hu Y, Wang X, Pan Q, Liu A, Liu Q, Liu J, Zhu H, Zhou Y, Pan D. Development and Validation of a Risk Nomogram Model for Predicting Revascularization After Percutaneous Coronary Intervention in Patients with Acute Coronary Syndrome. Clin Interv Aging 2021;16:1541-53. [PMID: 34447245 DOI: 10.2147/CIA.S325385] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
57 Mao J, Hu J, Chen Y, Li Y, Run X. Development and validation of a prognostic nomogram model in primary cutaneous and subcutaneous soft tissue angiosarcoma. J Dermatolog Treat 2021;:1-9. [PMID: 34429003 DOI: 10.1080/09546634.2021.1968333] [Reference Citation Analysis]
58 Zou Y, Zhang Y, Yin Z, Wei L, Lv B, Wu Y. Establishment of a nomogram model to predict macrosomia in pregnant women with gestational diabetes mellitus. BMC Pregnancy Childbirth 2021;21:581. [PMID: 34420518 DOI: 10.1186/s12884-021-04049-0] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
59 Fan L, Zhao R, Chen X, Liu Y, Tian L, Liu M. Establishment of a non-squamous cell carcinoma of the larynx nomogram prognostic model and prognosis analysis. Auris Nasus Larynx 2021:S0385-8146(21)00199-1. [PMID: 34315609 DOI: 10.1016/j.anl.2021.07.008] [Reference Citation Analysis]
60 Zhen Z, Shen Z, Hu Y, Sun P. Screening and identification of angiogenesis-related genes as potential novel prognostic biomarkers of hepatocellular carcinoma through bioinformatics analysis. Aging (Albany NY) 2021;13:17707-33. [PMID: 34252885 DOI: 10.18632/aging.203260] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
61 Chen W, Feng J, Wang Y, Wang C, Dong Z; Chinese Obesity and Metabolic Surgery Collaborative. Development and Validation of a Nomogram for Predicting Obstructive Sleep Apnea in Bariatric Surgery Candidates. Nat Sci Sleep 2021;13:1013-23. [PMID: 34234604 DOI: 10.2147/NSS.S316674] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
62 Jiang Z, Hu X, Zeng H, Wang X, Tan C, Ni C, Dai L, Liu S. Nomogram for perinatal prediction of intrapartum fever: a retrospective case-control study. BMC Pregnancy Childbirth 2021;21:445. [PMID: 34172031 DOI: 10.1186/s12884-021-03891-6] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
63 Yang Z, Hu Q, Feng Z, Sun Y. Development and validation of a nomogram for predicting severity in patients with hemorrhagic fever with renal syndrome: A retrospective study. Open Med (Wars) 2021;16:944-54. [PMID: 34222669 DOI: 10.1515/med-2021-0307] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
64 Lin H, Yang Y, Hou C, Huang Y, Zhou L, Zheng J, Lv G, Mao R, Chen S, Xu P, Zhou Y, Wang P, Zhou D. Validation of the functions and prognostic values of synapse-associated proteins in lower-grade glioma. Biosci Rep 2021;41:BSR20210391. [PMID: 33969375 DOI: 10.1042/BSR20210391] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
65 Liu X, Rong Y, Huang D, Liang Z, Yi X, Wu F, Zhu D, Mo S, Nong W, Li H. Altered Genes and Biological Functions in Response to Severe Burns. Biomed Res Int 2021;2021:8836243. [PMID: 34124262 DOI: 10.1155/2021/8836243] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
66 Yu J, Hu W, Yao N, Sun M, Li X, Wang L, Yang Y, Li B. Development and validation of a nomogram to predict overall survival of T1 esophageal squamous cell carcinoma patients with lymph node metastasis. Transl Oncol 2021;14:101127. [PMID: 34020370 DOI: 10.1016/j.tranon.2021.101127] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
67 Yin R, Wang G, Yang X, Zhang L, Wang S, Li T, Liu S. Identification of prognostic factors and construction of a nomogram for patients with relapse/refractory adult-onset Still's disease. Clin Rheumatol 2021. [PMID: 34002352 DOI: 10.1007/s10067-021-05722-7] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
68 Zhang L, Cui H, Chen Q, Li Y, Yang C, Yang Y. A web-based dynamic Nomogram for predicting instrumental activities of daily living disability in older adults: a nationally representative survey in China. BMC Geriatr 2021;21:311. [PMID: 34001030 DOI: 10.1186/s12877-021-02223-9] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
69 Jia J, Dai Y, Zhang Q, Tang P, Fu Q, Xiong G. Stromal Score-Based Gene Signature: A Prognostic Prediction Model for Colon Cancer. Front Genet 2021;12:655855. [PMID: 34054919 DOI: 10.3389/fgene.2021.655855] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
70 Wang Y, Xia HB, Chen ZM, Meng L, Xu AM. Identification of a ferroptosis-related gene signature predictive model in colon cancer. World J Surg Oncol 2021;19:135. [PMID: 33926457 DOI: 10.1186/s12957-021-02244-z] [Cited by in Crossref: 2] [Cited by in F6Publishing: 9] [Article Influence: 2.0] [Reference Citation Analysis]
71 Ye C, Wang T, Gong J, Cai X, Lian G, Luo L, Wang H, Xie L. Development of a nomogram for screening the risk of left ventricular hypertrophy in Chinese hypertensive patients. J Clin Hypertens (Greenwich) 2021;23:1176-85. [PMID: 33769693 DOI: 10.1111/jch.14240] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
72 Zhang C, Liu H, Xu P, Tan Y, Xu Y, Wang L, Liu B, Chen Q, Tian D. Identification and validation of a five-lncRNA prognostic signature related to Glioma using bioinformatics analysis. BMC Cancer 2021;21:251. [PMID: 33750353 DOI: 10.1186/s12885-021-07972-9] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
73 Han L, Li W, Hu Y, Zhang H, Ma J, Ma K, Xiao B, Fei G, Zeng Y, Tian L, Chen L. Model for the prediction of mechanical asphyxia as the cause of death based on four biological indexes in human cardiac tissue. Sci Justice 2021;61:221-6. [PMID: 33985670 DOI: 10.1016/j.scijus.2021.02.003] [Reference Citation Analysis]
74 Lin G, Liang H, Wang W, Liu J, Li J, Liang W, He J. Nomogram for predicting the survival rate of primary pulmonary mucoepidermoid carcinoma patients: a retrospective study based on SEER database. Ann Transl Med 2021;9:407. [PMID: 33842628 DOI: 10.21037/atm-20-6555] [Reference Citation Analysis]
75 Chen W, Li M, Mao D, Ge X, Wang J, Tan M, Ma W, Huang X, Lu J, Li C, Hua Y, Wu H. Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules. Sci Rep 2021;11:3633. [PMID: 33574448 DOI: 10.1038/s41598-021-83167-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
76 Wang R, Xie G, Shang L, Qi C, Yang L, Huang L, Li D, Yang W. Development and validation of nomograms for epithelial ovarian cancer: a SEER population-based, real-world study. Future Oncol 2021;17:893-906. [PMID: 33533669 DOI: 10.2217/fon-2020-0531] [Cited by in Crossref: 1] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
77 Zheng BH, Shen S, Wong KF, Gong ZJ, Sun WT, Ni XJ, Wang JW, Hu MY, Liu H, Ni XL, Liu HB, Luk JM, Suo T. Clinical correlation of cadherin-17 marker with advanced tumor stages and poor prognosis of cholangiocarcinoma. J Surg Oncol 2021;123:1253-62. [PMID: 33524213 DOI: 10.1002/jso.26399] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
78 Xia Y, Lei C, Yang D, Luo H. Construction and validation of a bronchoalveolar lavage cell-associated gene signature for prognosis prediction in idiopathic pulmonary fibrosis. Int Immunopharmacol 2021;92:107369. [PMID: 33493738 DOI: 10.1016/j.intimp.2021.107369] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
79 Liu J, Zhang S, Dai W, Xie C, Li JC. A Comprehensive Prognostic and Immune Analysis of SLC41A3 in Pan-Cancer. Front Oncol 2020;10:586414. [PMID: 33520701 DOI: 10.3389/fonc.2020.586414] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
80 Shen R, Gao M, Tao Y, Chen Q, Wu G, Guo X, Xia Z, You G, Hong Z, Huang K. Prognostic nomogram for 30-day mortality of deep vein thrombosis patients in intensive care unit. BMC Cardiovasc Disord 2021;21:11. [PMID: 33407152 DOI: 10.1186/s12872-020-01823-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
81 Wang X, Feng J, Li Z, Zhang X, Chen J, Feng G. Characteristics and prognosis of embryonal rhabdomyosarcoma in children and adolescents: An analysis of 464 cases from the SEER database. Pediatr Investig 2020;4:242-9. [PMID: 33376951 DOI: 10.1002/ped4.12220] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
82 Yao J, Jiang Y, Ke J, Lu Y, Hu J, Zhi M. A Validated Prognostic Model and Nomogram to Predict Early-Onset Complications Leading to Surgery in Patients With Crohn's Disease. Dis Colon Rectum 2021;64:697-705. [PMID: 33315712 DOI: 10.1097/DCR.0000000000001881] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
83 Cai X, Aierken X, Ahmat A, Cao Y, Zhu Q, Wu T, Li N. A Nomogram Model Based on Noninvasive Bioindicators to Predict 3-Year Risk of Nonalcoholic Fatty Liver in Nonobese Mainland Chinese: A Prospective Cohort Study. Biomed Res Int 2020;2020:8852198. [PMID: 33204721 DOI: 10.1155/2020/8852198] [Cited by in Crossref: 2] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
84 Cai X, Zhu Q, Wu T, Zhu B, Aierken X, Ahmat A, Li N. Development and Validation of a Novel Model for Predicting the 5-Year Risk of Type 2 Diabetes in Patients with Hypertension: A Retrospective Cohort Study. Biomed Res Int 2020;2020:9108216. [PMID: 33029529 DOI: 10.1155/2020/9108216] [Cited by in Crossref: 2] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
85 Li W, Lu J, Ma Z, Zhao J, Liu J. An Integrated Model Based on a Six-Gene Signature Predicts Overall Survival in Patients With Hepatocellular Carcinoma. Front Genet 2019;10:1323. [PMID: 32010188 DOI: 10.3389/fgene.2019.01323] [Cited by in Crossref: 29] [Cited by in F6Publishing: 32] [Article Influence: 14.5] [Reference Citation Analysis]