Literature DB >> 31707885

Understanding survival analysis: actuarial life tables and the Kaplan-Meier plot.

Ahmed Barakat1, Aaina Mittal2, David Ricketts3, Benedict A Rogers3.   

Abstract

Survival analysis is a set of methods used to study the time between enrollment in a study and the occurrence of an event of interest. Two methods are commonly used: actuarial life tables and the Kaplan-Meier approach for survival analysis. A good understanding of both these methods is useful when reading and appraising the literature concerning prognostic and interventional studies. Kaplan-Meier curves are widely used as they enable analysis of incomplete sets of data (i.e. after patients withdraw from studies or are lost to follow up). This review explains these two methods and gives practical examples of their use.

Entities:  

Mesh:

Year:  2019        PMID: 31707885     DOI: 10.12968/hmed.2019.80.11.642

Source DB:  PubMed          Journal:  Br J Hosp Med (Lond)        ISSN: 1750-8460            Impact factor:   0.825


  14 in total

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2.  Comprehensive analyses reveal the carcinogenic and immunological roles of ANLN in human cancers.

Authors:  Yanlong Shi; Xinyu Ma; Menglu Wang; Sheng Lan; Haokun Jian; Yue Wang; Qian Wei; Fei Zhong
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3.  TP53-Activated lncRNA GHRLOS Regulates Cell Proliferation, Invasion, and Apoptosis of Non-Small Cell Lung Cancer by Modulating the miR-346/APC Axis.

Authors:  Ke Ren; Jinghui Sun; Lingling Liu; Yuping Yang; Honghui Li; Zhichao Wang; Jingzhu Deng; Min Hou; Jia Qiu; Wei Zhao
Journal:  Front Oncol       Date:  2021-04-21       Impact factor: 6.244

4.  Survival of Frail Elderly with Delirium.

Authors:  Guillermo Cano-Escalera; Manuel Graña; Jon Irazusta; Idoia Labayen; Ariadna Besga
Journal:  Int J Environ Res Public Health       Date:  2022-02-16       Impact factor: 3.390

5.  Identification of Novel Molecular Therapeutic Targets and Their Potential Prognostic Biomarkers Based on Cytolytic Activity in Skin Cutaneous Melanoma.

Authors:  Haoxue Zhang; Yuyao Liu; Delin Hu; Shengxiu Liu
Journal:  Front Oncol       Date:  2022-03-08       Impact factor: 6.244

6.  Pyroptosis-related lncRNAs are potential biomarkers for predicting prognoses and immune responses in patients with UCEC.

Authors:  Jinhui Liu; Rui Geng; Senmiao Ni; Lixin Cai; Sheng Yang; Fang Shao; Jianling Bai
Journal:  Mol Ther Nucleic Acids       Date:  2022-01-25       Impact factor: 8.886

7.  Decreased complement 4d increases poor prognosis in patients with non-small cell lung cancer combined with gastrointestinal lymph node metastasis.

Authors:  Yan Wang; Mengqi Xiang; Huachuan Zhang; Yongda Lu
Journal:  Exp Ther Med       Date:  2022-07-05       Impact factor: 2.751

8.  Multi-omics analysis of expression and prognostic value of NSUN members in prostate cancer.

Authors:  Guangyu Sun; Shenfei Ma; Zhiwen Zheng; Xiaohua Wang; Shuaiqi Chen; Taihao Chang; Zhengxin Liang; Yuchen Jiang; Shengxian Xu; Ranlu Liu
Journal:  Front Oncol       Date:  2022-08-01       Impact factor: 5.738

9.  Risk Score Based on Two microRNAs as a Prognostic Marker of Hepatocellular Carcinoma and the Corresponding Competitive Endogenous RNA Network.

Authors:  Xiao-Chun Huang; Fei-Xiong Pang; Sheng-Song Ou; Xiao-Jiao Wei; Yu-Ju Xu; Yan-Hua Lai
Journal:  Int J Gen Med       Date:  2021-07-13

10.  The Relationship Between Prognostic Nutritional Index and All-Cause Mortality in Critically Ill Patients: A Retrospective Study.

Authors:  Yan Lu; Chaoxiang Ren; Jinwen Jiang
Journal:  Int J Gen Med       Date:  2021-07-17
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