Literature DB >> 25861791

CORR Insights(®): Kaplan-Meier Survival Analysis Overestimates the Risk of Revision Arthroplasty: A Meta-analysis.

Raphaël Porcher1.   

Abstract

Mesh：

Year:  2015        PMID： 25861791      PMCID： PMC4586219          DOI： 10.1007/s11999-015-4291-0

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN： 0009-921X            Impact factor:   4.176


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  8 in total

Review 1.  Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part I: unadjusted analysis.

Authors:  J P Klein; J D Rizzo; M J Zhang; N Keiding
Journal:  Bone Marrow Transplant       Date:  2001-11       Impact factor: 5.483

2.  Competing events influence estimated survival probability: when is Kaplan-Meier analysis appropriate?

Authors:  David Jean Biau; Aurélien Latouche; Raphaël Porcher
Journal:  Clin Orthop Relat Res       Date:  2007-09       Impact factor: 4.176

3.  Editorial: Estimating survivorship in the face of competing risks.

Authors:  M Daniel Wongworawat; Matthew B Dobbs; Mark C Gebhardt; Terence J Gioe; Seth S Leopold; Paul A Manner; Clare M Rimnac; Raphaël Porcher
Journal:  Clin Orthop Relat Res       Date:  2015-02-11       Impact factor: 4.176

Review 4.  Kaplan-Meier Survival Analysis Overestimates the Risk of Revision Arthroplasty: A Meta-analysis.

Authors:  Sarah Lacny; Todd Wilson; Fiona Clement; Derek J Roberts; Peter D Faris; William A Ghali; Deborah A Marshall
Journal:  Clin Orthop Relat Res       Date:  2015-11       Impact factor: 4.176

Review 5.  A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions.

Authors:  Aurelien Latouche; Arthur Allignol; Jan Beyersmann; Myriam Labopin; Jason P Fine
Journal:  J Clin Epidemiol       Date:  2013-02-14       Impact factor: 6.437

6.  Does competing risk analysis give useful information about endoprosthetic survival in extremity osteosarcoma?

Authors:  Reinhard Schuh; Alexandra Kaider; Reinhard Windhager; Philipp T Funovics
Journal:  Clin Orthop Relat Res       Date:  2015-03       Impact factor: 4.176

7.  Death without prior appropriate implantable cardioverter-defibrillator therapy: a competing risk study.

Authors:  Michael T Koller; Beat Schaer; Marcel Wolbers; Christian Sticherling; Heiner C Bucher; Stefan Osswald
Journal:  Circulation       Date:  2008-04-07       Impact factor: 29.690

Review 8.  A note on competing risks in survival data analysis.

Authors:  J M Satagopan; L Ben-Porat; M Berwick; M Robson; D Kutler; A D Auerbach
Journal:  Br J Cancer       Date:  2004-10-04       Impact factor: 7.640
  8 in total
  8 in total

1.  Periprosthetic Joint Infection Is the Main Cause of Failure for Modern Knee Arthroplasty: An Analysis of 11,134 Knees.

Authors:  Chuan Kong Koh; Irene Zeng; Saiprassad Ravi; Mark Zhu; Kelly G Vince; Simon W Young
Journal:  Clin Orthop Relat Res       Date:  2017-06-01       Impact factor: 4.176

2.  Are competing risks models appropriate to describe implant failure?

Authors:  Adrian Sayers; Jonathan T Evans; Michael R Whitehouse; Ashley W Blom
Journal:  Acta Orthop       Date:  2018-03-09       Impact factor: 3.717

3.  Identification of a Robust Five-Gene Risk Model in Prostate Cancer: A Robust Likelihood-Based Survival Analysis.

Authors:  Yutao Wang; Jiaxing Lin; Kexin Yan; Jianfeng Wang
Journal:  Int J Genomics       Date:  2020-05-27       Impact factor: 2.326

4.  Kaplan-Meier and Cox Regression Are Preferable for the Analysis of Time to Revision of Joint Arthroplasty: Thirty-One Years of Follow-up for Cemented and Uncemented THAs Inserted From 1987 to 2000 in the Norwegian Arthroplasty Register.

Authors:  Stein Atle Lie; Anne Marie Fenstad; Stein Håkon L Lygre; Gard Kroken; Eva Dybvik; Jan-Erik Gjertsen; Geir Hallan; Håvard Dale; Ove Furnes
Journal:  JB JS Open Access       Date:  2022-02-23

5.  A Six-Gene Risk Model Based on the Immune Score Reveals Prognosis in Intermediate-Risk Acute Myeloid Leukemia.

Authors:  Cong Lu; Dong Hu; Jin'e Zheng; Shiyi Cao; Jiang Zhu; Xiangjun Chen; Shiang Huang; Junxia Yao
Journal:  Biomed Res Int       Date:  2022-04-29       Impact factor: 3.246

6.  Construction of a prognostic prediction system for pancreatic ductal adenocarcinoma to investigate the key prognostic genes.

Authors:  Bingli Zheng; Jie Peng; Ablikim Mollayup; Ahmat Bakri; Lei Guo; Jianjiang Zheng; Hui Xu
Journal:  Mol Med Rep       Date:  2017-10-20       Impact factor: 2.952

7.  Different competing risks models for different questions may give similar results in arthroplasty registers in the presence of few events.

Authors:  Stéphanie Van Der Pas; Rob Nelissen; Marta Fiocco
Journal:  Acta Orthop       Date:  2018-02-01       Impact factor: 3.717

8.  A 44-gene set constructed for predicting the prognosis of clear cell renal cell carcinoma.

Authors:  Yonggang Wang; Yao Wang; Feng Liu
Journal:  Int J Mol Med       Date:  2018-09-26       Impact factor: 4.101
  8 in total

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