Casual effect of methotrexate+etanercept/infliximab on survival of patients with rheumatoid arthritis

References

• Gabriel SE, Crowson CS, Kremers HM, et al. Survival in rheumatoid arthritis a population-based analysis of trends over 40 years. Arthritis Rheum. 2003;48(1):54–28. doi:10.1002/art.1070512528103
   PubMed Web of Science ®Google Scholar
• Sokka T, Abelson B, Pincus T. Mortality in rheumatoid arthritis: 2008 update. Clin Exp Rheumatol. 2008;26(5 SUPPL. 51):2452.
   Web of Science ®Google Scholar
• Lunt M, Watson KD, Dixon WG, Register B, Symmons DPM. No evidence of association between anti-tumor necrosis factor treatment and mortality in patients with rheumatoid arthritis: results from the British Society for Rheumatology Biologics Register. Arthritis Rheum. 2010;62(11):3145–3153. doi:10.1002/art.2766020662063
   PubMed Web of Science ®Google Scholar
• Carmona L, Descalzo MA, Perez-Pampin E, et al. All-cause and cause-specific mortality in rheumatoid arthritis are not greater than expected when treated with tumour necrosis factor antagonists. Ann Rheum Dis. 2007;66(7):880–885. doi:10.1136/ard.2006.06766017324968
   PubMed Web of Science ®Google Scholar
• Jacobsson LTH, Turesson C, Nilsson J-A, et al. Treatment with TNF blockers and mortality risk in patients with rheumatoid arthritis. Ann Rheum Dis. 2007;66(5):670–675. doi:10.1136/ard.2006.06249717158824
   PubMed Web of Science ®Google Scholar
• Austin PC. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate Behav Res. 2011;46(3):399–424. doi:10.1080/00273171.2011.56878621818162
   PubMed Web of Science ®Google Scholar
• Rosenbaum PR. Observational Studies. 2nd ed. New York: Springer New York; 2002. doi:10.1007/978-1-4757-3692-2
   Google Scholar
• Mansournia MA, Etminan M, Danaei G, Kaufman JS, Collins G. Handling time varying confounding in observational research. BMJ. 2017;359:1–6. doi:10.1136/bmj.j4587
   Web of Science ®Google Scholar
• Williamson T, Ravani P. Marginal structural models in clinical research: when and how to use them? Nephrol Dial Transpl. 2017;32(suppl_2):ii84–ii90. doi:10.1093/ndt/gfw341
   PubMed Web of Science ®Google Scholar
• Fewell Z, Wolfe F, Choi H, Hernán MA, Tilling K, Sterne JA. Controlling for time-dependent confounding using marginal structural models. Stata J. 2004;4(4):402–420. doi:10.1177/1536867X0400400403
   Web of Science ®Google Scholar
• Hernán MA, Brumback B, Robins JM. Marginal structural models to estimate the causal effect of zidovudine on the survival of HIV-positive men. Epidemiology. 2000;11(5):561–570. doi:10.1097/00001648-200009000-0001210955409
   PubMed Web of Science ®Google Scholar
• Xiao Y, Abrahamowicz M, Moodie EEM. Accuracy of conventional and marginal structural cox model estimators: a simulation study. Int J Biostat. 2010;6(2). doi:10.2202/1557-4679.1208
   Google Scholar
• Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70(1):41–55. doi:10.1093/biomet/70.1.41
   Web of Science ®Google Scholar
• Robins JM. Association, causation, and marginal structural models. Synth Int J Epistemol Methodol Philos Sci. 1999;121(1–2):151–179. doi:10.1023/A:1005285815569
   Web of Science ®Google Scholar
• Hernán MA, Brumback B, Robins JM. Estimating the causal effect of zidovudine on CD4 count with a marginal structural model for repeated measures. Stat Med. 2002;21(12):1689–1709. doi:10.1002/sim.114412111906
   PubMed Web of Science ®Google Scholar
• Robins JM. Marginal structural models. 1997 Proc Sect Bayesian Stat Sci. 1998;1–10. doi:10.1097/EDE.0b013e318245847e
   Google Scholar
• Hernán MA, Brumback B, Robins JM. Marginal structural models to estimate the joint causal effect of nonrandomized treatments. J Am Stat Assoc. 2001;96(454):440–448. doi:10.1198/016214501753168154
   Web of Science ®Google Scholar
• Yang S, Eaton CB, Mcalindon TE, Lapane KL. Effects of glucosamine and chondroitin supplementation on knee osteoarthritis an analysis with marginal structural models. Arthritis Rheumatol (Hoboken, NJ). 2015;67(3):714–723. doi:10.1002/art.38932
   PubMed Web of Science ®Google Scholar
• Kendler KS, Gardner CO, Edwards AC, et al. Childhood risk factors for heavy episodic alcohol use and alcohol problems in late adolescence: a marginal structural model analysis. J Stud Alcohol Drugs. 2018:79:370–379.29885144
   PubMed Web of Science ®Google Scholar
• Almasi-Hashiani A, Mansournia MA. Causal effect of donor source on survival of renal transplantation using marginal structural models. Iran J Public Health. 2018;47(5):706–712.29922613
   PubMed Web of Science ®Google Scholar
• Dds BWC, Alberto C, Regina M. Annals of epidemiology association of long-duration breastfeeding and dental caries estimated with marginal structural models. AEP. 2014;24(6):448–454. doi:10.1016/j.annepidem.2014.01.01324636616
   PubMed Web of Science ®Google Scholar
• Taylor P, Xiao Y, Abrahamowicz M, et al. Flexible marginal structural models for estimating the cumulative effect of a time-dependent treatment on the hazard: reassessing the cardiovascular risks of didanosine treatment in the Swiss HIV cohort study. J Am Stat Assoc. 2014;79:37–41. doi:10.1080/01621459.2013.872650
   Web of Science ®Google Scholar
• Lukowsky LR, Mehrotra R, Kheifets L, Arah OA, Nissenson AR. Comparing mortality of peritoneal and hemodialysis patients in the first 2 years of dialysis therapy: a marginal structural model analysis. Clin J Am Soc Nephrol. 2013:619–628. doi:10.2215/CJN.0481051223307879
   PubMed Web of Science ®Google Scholar
• Mcculloch M, Broffman M, Van Der Laan M, et al. Colon cancer survival with herbal medicine and vitamins combined with standard therapy in a whole-systems approach: ten-year follow-up data analyzed with marginal structural models and propensity score methods. Integr Cancer Ther. 2011;10:240–259. doi:10.1177/153473541140653921964510
   PubMed Web of Science ®Google Scholar
• Xiao Y. Flexible Marginal Structural Models for Survival Analysis [dissertation]. Montreal, QC: McGill University; 2012.
   Google Scholar
• Hougaard P. Analysis of Multivariate Survival Data. Vol. 53 (Intergovernmental Panel on Climate Change, ed.). New York: Springer New York; 2000. doi:10.1007/978-1-4612-1304-8
   Google Scholar
• Wintrebert CMA, Putter H, Zwinderman AH, Van Houwelingen JC. Centre-effect on survival after bone marrow transplantation: application of time-dependent frailty models. Biometrical J. 2004;46(5):512–525. doi:10.1002/bimj.200310051
   Web of Science ®Google Scholar
• R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna (Austria): R Foundation for Statistical Computing; 2017.
   Google Scholar
• Chen Y-M, Chen H-H, Chen Y-H, et al. A comparison of safety profiles of tumour necrosis factor α inhibitors and rituximab therapy in patients with rheumatoid arthritis and chronic hepatitis C letters. Ann Rheum Dis. 2015;74(3):626–628. doi:10.1136/annrheumdis-2014-20671125452310
   PubMed Web of Science ®Google Scholar
• Akhlaghi S, Sahebari M, Mahmoodi M, et al. Additional effect of etanercept or infliximab on the liver function tests of patients with rheumatoid arthritis: a cohort study. Ther Clin Risk Manag. 2018;14:1943–1950. doi:10.2147/TCRM.S17283630349273
   PubMed Web of Science ®Google Scholar