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Saturated Fat 
2014 Systematic Review and Meta-analysis
Chowdhury R, Warnakula S, Kunutsor S, Crowe F, Ward HA, Johnson L, et al. Association of Dietary, 
Circulating, and Supplement Fatty Acids With Coronary Risk: A Systematic Review and Meta-analysis. 
Ann Intern Med. 2014;160:398-406.
Saturated fat – 2014 Systematic Review and Meta-analysis (Chowdhury)
Saturated fat – 2014 Systematic Review and Meta-analysis (Chowdhury)
Saturated fat – 2014 Systematic Review and Meta-analysis (Chowdhury)
Saturated fat – 2014 Systematic Review and Meta-analysis (Chowdhury)
Saturated fat – 2014 Systematic Review and Meta-analysis (Chowdhury)
Saturated fat – 2014 Systematic Review and Meta-analysis (Chowdhury)
Saturated fat – 2014 Systematic Review and Meta-analysis (Chowdhury)
Saturated fat – 2014 Systematic Review and Meta-analysis (Chowdhury)
Saturated fat – 2014 Systematic Review and Meta-analysis (Chowdhury)
However, excluding the SDHS for trans-fat is probably unjustified: 
http://www.bmj.com/content/346/bmj.e8707/rr/631590
Furthermore, it is possible that trans-fat intake was higher in the control groups 
in all trials:
Excluding studies that analyzed less than 50 total coronary outcomes
Sensitivity analysis on the 3 available trials reporting at least 100 CHD 
events (potentially less prone to selective publication bias and provides 
greater precision): 
0.92 (0.76-1.12)
Heterogeneity: Type Of Supplement (Specific vs. Mixed)
Similar to: Ramsden CE, Zamora D, Leelarthaepin B, et al. Use of dietary linoleic acid for secondary 
prevention of coronary heart disease and death: evaluation of recovered data from the Sydney Diet 
Heart Study and updated meta-analysis. BMJ. 2013;346:e8707.
Conclusion:
Extra notes 
• The relative risks for some individual cohort studies differ from Siri- 
Tarino’s: Siri-tarino PW, Sun Q, Hu FB, Krauss RM. Meta-analysis of 
prospective cohort studies evaluating the association of saturated fat 
with cardiovascular disease. Am J Clin Nutr. 2010;91(3):535-46. 
• This is either due to more updated data, use of different data from 
the same study, or different statistical methods. 
• For example, Siri-Tarino gives a relative risk of 1.37 (1.17, 1.65) for the 
Health and Lifestyle Survey in contrast to Chowdhury’s 1.04 (0.97, 
1.11). In this case the difference is probably due to different statistical 
methods.
END

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Saturated fat – 2014 Systematic Review and Meta-analysis (Chowdhury)

  • 1. Saturated Fat 2014 Systematic Review and Meta-analysis
  • 2. Chowdhury R, Warnakula S, Kunutsor S, Crowe F, Ward HA, Johnson L, et al. Association of Dietary, Circulating, and Supplement Fatty Acids With Coronary Risk: A Systematic Review and Meta-analysis. Ann Intern Med. 2014;160:398-406.
  • 12. However, excluding the SDHS for trans-fat is probably unjustified: http://www.bmj.com/content/346/bmj.e8707/rr/631590
  • 13. Furthermore, it is possible that trans-fat intake was higher in the control groups in all trials:
  • 14. Excluding studies that analyzed less than 50 total coronary outcomes
  • 15. Sensitivity analysis on the 3 available trials reporting at least 100 CHD events (potentially less prone to selective publication bias and provides greater precision): 0.92 (0.76-1.12)
  • 16. Heterogeneity: Type Of Supplement (Specific vs. Mixed)
  • 17. Similar to: Ramsden CE, Zamora D, Leelarthaepin B, et al. Use of dietary linoleic acid for secondary prevention of coronary heart disease and death: evaluation of recovered data from the Sydney Diet Heart Study and updated meta-analysis. BMJ. 2013;346:e8707.
  • 19. Extra notes • The relative risks for some individual cohort studies differ from Siri- Tarino’s: Siri-tarino PW, Sun Q, Hu FB, Krauss RM. Meta-analysis of prospective cohort studies evaluating the association of saturated fat with cardiovascular disease. Am J Clin Nutr. 2010;91(3):535-46. • This is either due to more updated data, use of different data from the same study, or different statistical methods. • For example, Siri-Tarino gives a relative risk of 1.37 (1.17, 1.65) for the Health and Lifestyle Survey in contrast to Chowdhury’s 1.04 (0.97, 1.11). In this case the difference is probably due to different statistical methods.
  • 20. END