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Cited by in F6Publishing
For: Han Q, Ren J, Tian J, Yang H, Zhang Q, Wang R, Zhao J, Han L, Li C, Yan J, Wang K, Zheng C, Han Q, Zhang Y. A nomogram based on a patient-reported outcomes measure: predicting the risk of readmission for patients with chronic heart failure. Health Qual Life Outcomes 2020;18:290. [PMID: 32854729 DOI: 10.1186/s12955-020-01534-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Han D, Xu F, Zhang L, Yang R, Zheng S, Huang T, Yin H, Lyu J. Early prediction of in-hospital mortality in patients with congestive heart failure in intensive care unit: a retrospective observational cohort study. BMJ Open 2022;12:e059761. [DOI: 10.1136/bmjopen-2021-059761] [Reference Citation Analysis]
2 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]
3 Gao S, Yin G, Xia Q, Wu G, Zhu J, Lu N, Yan J, Tan X. Development and Validation of a Nomogram to Predict the 180-Day Readmission Risk for Chronic Heart Failure: A Multicenter Prospective Study. Front Cardiovasc Med 2021;8:731730. [PMID: 34557533 DOI: 10.3389/fcvm.2021.731730] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]