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Author’s Reply to Sani et al.: “Effects of Exercise Training in Hypoxia Versus Normoxia on Vascular Health: Comments on Clinical Importance”—Facing Common Misconceptions Concerning Meta-Analysis in Biomedical Research

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References

  1. Sani M, Ayubi E, Khazaei S, et al. Effects of exercise training in hypoxia versus normoxia on vascular health: comments on clinical importance. Sports Med. 2016. doi:10.1007/s40279-016-0616-8.

  2. Montero D, Lundby C. Effects of exercise training in hypoxia versus normoxia on vascular health. Sports Med. Epub. 2016. doi:10.1007/s40279-016-0570-5.

    Google Scholar 

  3. Matsuzawa Y, Kwon TG, Lennon RJ, et al. Prognostic value of flow-mediated vasodilation in brachial artery and fingertip artery for cardiovascular events: a systematic review and meta-analysis. J Am Heart Assoc. 2015. doi:10.1161/JAHA.115.002270.

    PubMed  PubMed Central  Google Scholar 

  4. Inaba Y, Chen JA, Bergmann SR. Prediction of future cardiovascular outcomes by flow-mediated vasodilatation of brachial artery: a meta-analysis. Int J Cardiovasc Imaging. 2010;26(6):631–40.

    Article  PubMed  Google Scholar 

  5. Prior SJ, Goldberg AP, Ortmeyer HK, et al. Increased skeletal muscle capillarization independently enhances insulin sensitivity in older adults after exercise training and detraining. Diabetes. 2015;64(10):3386–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale: Lawrence Erlbaum Associates Publishers; 1988.

    Google Scholar 

  7. Ayubi E, Doosti-Irani A, Mostafavi E. Do the tuberculin skin test and the QuantiFERON-TB Gold in-tube test agree in detecting latent tuberculosis among high-risk contacts? A systematic review and meta-analysis. Epidemiol Health. 2015;37:e2015043.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions. Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. http://handbook.cochrane.org. Accessed 19 Aug 2016.

  9. Bacon AP, Carter RE, Ogle EA, et al. VO2max trainability and high intensity interval training in humans: a meta-analysis. PLoS One. 2013;8(9):e73182.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Ioannidis JP. Why most published research findings are false. PLoS Med. 2005;2(8):e124.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Montero D, Roberts CK, Vinet A. Effect of aerobic exercise training on arterial stiffness in obese populations : a systematic review and meta-analysis. Sports Med. 2014;44(6):833–43.

    Article  PubMed  Google Scholar 

  12. Montero D, Padilla J, Diaz-Canestro C, et al. Flow-mediated dilation in athletes: influence of aging. Med Sci Sports Exerc. 2014;46(11):2148–58.

    Article  PubMed  Google Scholar 

  13. Montero D, Diaz-Canestro C, Lundby C. Endurance training and VO2max: role of maximal cardiac output and oxygen extraction. Med Sci Sports Exerc. 2015;47(10):2024–33.

    Article  CAS  PubMed  Google Scholar 

  14. Sani M, Ayubi E, Mansori K, et al. Seventy-two-hour antibiotic retrieval from the ED: reporting the strength of association. Am J Emerg Med. 2016;34(9):1909–10.

    Article  PubMed  Google Scholar 

  15. Sani M, Ayubi E. Impact of lifestyle interventions on depressive symptoms in individuals at-risk of, or with, type 2 diabetes mellitus: clinical importance of lifestyle interventions. Nutr Metab Cardiovasc Dis. 2016. doi:10.1016/j.numecd.2016.06.013.

    PubMed  Google Scholar 

  16. Ayubi E, Mansori K, Khazaei S. Translation, adaptation, and validation of Hindi version of the Pain Catastrophizing Scale: statistical issues of confirmatory factor analysis to avoid misinterpretation. Pain Med. 2016. doi:10.1093/pm/pnw194.

    PubMed  Google Scholar 

  17. Ayubi E, Khazaei S, Mansori K, et al. Effect of metabolic syndrome components and their clustering on carotid atherosclerosis in a general Japanese population: methodological issues of model building. Hypertens Res. 2016. doi:10.1038/hr.2016.92.

    Google Scholar 

  18. Ayubi E. Effects of nursery songs for infants and young children’s anxiety: a reporting mistake of effect measure of association. Am J Emerg Med. 2016;34(3):663.

    Article  PubMed  Google Scholar 

  19. Ayubi E. Metabolic syndrome in the rural population of Wardha, Central India: confounding of factor analysis as result of high correlated variables. Indian J Community Med. 2014;39(3):190.

    Article  PubMed  PubMed Central  Google Scholar 

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Correspondence to David Montero.

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David Montero declares that he has no potential conflicts of interest relevant to the content of this letter.

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Montero, D. Author’s Reply to Sani et al.: “Effects of Exercise Training in Hypoxia Versus Normoxia on Vascular Health: Comments on Clinical Importance”—Facing Common Misconceptions Concerning Meta-Analysis in Biomedical Research. Sports Med 46, 1769–1770 (2016). https://doi.org/10.1007/s40279-016-0614-x

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