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Secondary Use of Clinical Data for Research and Surveillance (506) Digital Health Reviews (1883) Chronic Conditions (503) Frailty Detection, Assessment and Prediction (80)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60683, first published .
Young woman sitting on a bed, holding her stomach in discomfort.

Predictive Value of Frailty on Outcomes of Patients With Cirrhosis: Systematic Review and Meta-Analysis

Predictive Value of Frailty on Outcomes of Patients With Cirrhosis: Systematic Review and Meta-Analysis

Authors of this article:

Wen-Zhen Tang1 Author Orcid Image ;   Sheng-Rui Zhu1 Author Orcid Image ;   Shu-Tian Mo1 Author Orcid Image ;   Yuan-Xi Xie2 Author Orcid Image ;   Zheng-Ke-Ke Tan3 Author Orcid Image ;   Yan-Juan Teng1 Author Orcid Image ;   Kui Jia4 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Alhaddad O, Elsabaawy M, Abedelhai A, Badra G, Elfayoumy M. Impact of age on frailty in liver cirrhosis: a prospective cohort study. Clinical and Experimental Medicine 2025;25(1) View
  2. Elsabaawy M, Afify S, Othman W, Ragab A. Frailty and liver transplant eligibility beyond MELD scores: integrating functional status into candidate selection. BMC Gastroenterology 2025;25(1) View
  3. He Y, Li Y, Gao L, Wang X. TIPS in Older Adults: Reserve-Based Risk Stratification and Practical Approach. Journal of Clinical Medicine 2026;15(8):2928 View

Conference Proceedings

  1. Acosta A, Arellano K, Seblante S, Magboo M, Magboo V. 2026 4th International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA). Machine Learning Models with Explainable AI for Preoperative Frailty Risk Prediction in Elderly Patients with Hepatocellular Carcinoma View