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Cited by in F6Publishing
For: Cai ZQ, Guo P, Si SB, Geng ZM, Chen C, Cong LL. Analysis of prognostic factors for survival after surgery for gallbladder cancer based on a Bayesian network. Sci Rep. 2017;7:293. [PMID: 28331235 DOI: 10.1038/s41598-017-00491-3] [Cited by in Crossref: 16] [Cited by in F6Publishing: 19] [Article Influence: 3.2] [Reference Citation Analysis]
Number Citing Articles
1 Chu H, Huang D, Zhang C, Wei F. Risk factors for becoming lost to follow-up in patients with gallbladder cancer after radical resection. Asian J Surg 2022:S1015-9584(22)01128-9. [PMID: 36028403 DOI: 10.1016/j.asjsur.2022.08.015] [Reference Citation Analysis]
2 Li R, Zhang C, Du K, Dan H, Ding R, Cai Z, Duan L, Xie Z, Zheng G, Wu H, Ren G, Dou X, Feng F, Zheng J. Analysis of Prognostic Factors of Rectal Cancer and Construction of a Prognostic Prediction Model Based on Bayesian Network. Front Public Health 2022;10:842970. [DOI: 10.3389/fpubh.2022.842970] [Reference Citation Analysis]
3 Xu X, He M, Wang H, Zhan M, Yang L. Development and validation of a prognostic nomogram for gallbladder cancer patients after surgery. BMC Gastroenterol 2022;22:200. [PMID: 35448976 DOI: 10.1186/s12876-022-02281-2] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Li L, Ren T, Liu K, Li ML, Geng YJ, Yang Y, Li HF, Li XC, Bao RF, Shu YJ, Weng H, Gong W, Lau WY, Wu XS, Liu YB. Development and Validation of a Prognostic Nomogram Based on the Systemic Immune-Inflammation Index for Resectable Gallbladder Cancer to Predict Survival and Chemotherapy Benefit. Front Oncol 2021;11:692647. [PMID: 34268122 DOI: 10.3389/fonc.2021.692647] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
5 Zhang X, Kong Z, Xu X, Yun X, Chao J, Ding D, Li T, Gao Y, Guan N, Zhu C, Qin X. ARRB1 Drives Gallbladder Cancer Progression by Facilitating TAK1/MAPK Signaling Activation. J Cancer 2021;12:1926-35. [PMID: 33753990 DOI: 10.7150/jca.53325] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
6 Zhang R, Wu YH, Cai ZQ, Xue F, Zhang D, Chen C, Li Q, Fu JL, Tang ZH, Si SB, Geng ZM. Optimal number of harvested lymph nodes for curatively resected gallbladder adenocarcinoma based on a Bayesian network model. J Surg Oncol 2020;122:1409-17. [PMID: 32820544 DOI: 10.1002/jso.26168] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Wu Y, Li Q, Cai Z, Zhang Y, Qiu Y, Yang N, Song T, Li S, Lou J, Li J, Mao X, Chen C, Zhang D, Si S, Geng Z, Tang Z. Survival prediction for gallbladder carcinoma after curative resection: Comparison of nomogram and Bayesian network models. Eur J Surg Oncol 2020;46:2106-13. [PMID: 32807616 DOI: 10.1016/j.ejso.2020.07.009] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Li P, Song L. Prognostic Evaluation for Patients over 45 Years Old with Gallbladder Adenocarcinoma Resection: A SEER-Based Nomogram Analysis. Biomed Res Int 2020;2020:6370946. [PMID: 32733948 DOI: 10.1155/2020/6370946] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
9 Liu S, Chu B, Cai C, Wu X, Yao W, Wu Z, Yang Z, Li F, Liu Y, Dong P, Gong W. DGCR5 Promotes Gallbladder Cancer by Sponging MiR-3619-5p via MEK/ERK1/2 and JNK/p38 MAPK Pathways. J Cancer 2020;11:5466-77. [PMID: 32742494 DOI: 10.7150/jca.46351] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
10 Cai YL, Lin YX, Jiang LS, Ye H, Li FY, Cheng NS. A Novel Nomogram Predicting Distant Metastasis in T1 and T2 Gallbladder Cancer: A SEER-based Study. Int J Med Sci 2020;17:1704-12. [PMID: 32714073 DOI: 10.7150/ijms.47073] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 García P, Rosa L, Vargas S, Weber H, Espinoza JA, Suárez F, Romero-Calvo I, Elgueta N, Rivera V, Nervi B, Obreque J, Leal P, Viñuela E, Aguayo G, Muñiz S, Sagredo A, Roa JC, Bizama C. Hippo-YAP1 Is a Prognosis Marker and Potentially Targetable Pathway in Advanced Gallbladder Cancer. Cancers (Basel) 2020;12:E778. [PMID: 32218280 DOI: 10.3390/cancers12040778] [Cited by in Crossref: 3] [Cited by in F6Publishing: 10] [Article Influence: 1.5] [Reference Citation Analysis]
12 Erlangga Z, Wolff K, Poth T, Peltzer A, Nahnsen S, Spielberg S, Timrott K, Woller N, Kühnel F, Manns MP, Saborowski A, Vogel A, Saborowski M. Potent Antitumor Activity of Liposomal Irinotecan in an Organoid- and CRISPR-Cas9-Based Murine Model of Gallbladder Cancer. Cancers (Basel) 2019;11:E1904. [PMID: 31795490 DOI: 10.3390/cancers11121904] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
13 Geng ZM, Cai ZQ, Zhang Z, Tang ZH, Xue F, Chen C, Zhang D, Li Q, Zhang R, Li WZ, Wang L, Si SB. Estimating survival benefit of adjuvant therapy based on a Bayesian network prediction model in curatively resected advanced gallbladder adenocarcinoma. World J Gastroenterol 2019; 25(37): 5655-5666 [PMID: 31602165 DOI: 10.3748/wjg.v25.i37.5655] [Cited by in CrossRef: 14] [Cited by in F6Publishing: 13] [Article Influence: 4.7] [Reference Citation Analysis]
14 Wang L, Li J, Liu E, Kinnebrew G, Zhang X, Stover D, Huo Y, Zeng Z, Jiang W, Cheng L, Feng W, Li L. Identification of Alternatively-Activated Pathways between Primary Breast Cancer and Liver Metastatic Cancer Using Microarray Data. Genes (Basel) 2019;10:E753. [PMID: 31557971 DOI: 10.3390/genes10100753] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
15 Lee W, Jeong CY, Kim YH, Roh YH, Yoon MH, Seo HI, Park JI, Jung BH, Shin DH, Choi YI, Ryu JH, Yang KH, Choi CS, Park YH, Nah YW, Hong SC. Validation of the prognostic performance in various nodal staging systems for gallbladder cancer: results of a multicenter study. Langenbecks Arch Surg 2019;404:581-8. [PMID: 31414179 DOI: 10.1007/s00423-019-01807-9] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
16 Liu XF, Zhou LY, Wei ZH, Liu JX, Li A, Wang XZ, Ying HQ. The diagnostic role of circulating inflammation-based biomarker in gallbladder carcinoma. Biomark Med 2018;12:1095-103. [PMID: 30191731 DOI: 10.2217/bmm-2018-0049] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
17 Köhn N, Maubach J, Warschkow R, Tsai C, Nussbaum DP, Candinas D, Gloor B, Schmied BM, Blazer DG 3rd, Worni M. High rate of positive lymph nodes in T1a gallbladder cancer does not translate to decreased survival: a population-based, propensity score adjusted analysis. HPB (Oxford) 2018;20:1073-81. [PMID: 29891423 DOI: 10.1016/j.hpb.2018.05.007] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 1.8] [Reference Citation Analysis]
18 Zhang W, Hong HJ, Chen YL. Establishment of a Gallbladder Cancer-Specific Survival Model to Predict Prognosis in Non-metastatic Gallbladder Cancer Patients After Surgical Resection. Dig Dis Sci. 2018;. [PMID: 29736837 DOI: 10.1007/s10620-018-5103-7] [Cited by in Crossref: 18] [Cited by in F6Publishing: 23] [Article Influence: 4.5] [Reference Citation Analysis]
19 Mochizuki T, Abe T, Amano H, Hanada K, Hattori M, Kobayashi T, Nakahara M, Ohdan H, Noriyuki T. Efficacy of the Gallbladder Cancer Predictive Risk Score Based on Pathological Findings: A Propensity Score-Matched Analysis. Ann Surg Oncol 2018;25:1699-708. [DOI: 10.1245/s10434-018-6444-3] [Cited by in Crossref: 8] [Cited by in F6Publishing: 10] [Article Influence: 2.0] [Reference Citation Analysis]