Review of related study in thesis

There were 32 observational studies (512 420 participants) of fatty acids from dietary intake; 17 observational studies (25 721 participants) of fatty acid biomarkers; and 27 randomized, controlled trials (105 085 participants) of fatty acid supplementation. In observational studies, relative risks for coronary disease were (95% CI, to ) for saturated, (CI, to ) for monounsaturated, (CI, to ) for long-chain ω-3 polyunsaturated, (CI, to ) for ω-6 polyunsaturated, and (CI, to ) for trans fatty acids when the top and bottom thirds of baseline dietary fatty acid intake were compared. Corresponding estimates for circulating fatty acids were (CI, to ), (CI, to ), (CI, to ), (CI, to ), and (CI, to ), respectively. There was heterogeneity of the associations among individual circulating fatty acids and coronary disease. In randomized, controlled trials, relative risks for coronary disease were (CI, to ) for α-linolenic, (CI, to ) for long-chain ω-3 polyunsaturated, and (CI, to ) for ω-6 polyunsaturated fatty acid supplementations.

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  • Citation tools Download this article to citation manager Waljee Akbar K , Rogers Mary A M , Lin Paul , Singal Amit G , Stein Joshua D , Marks Rory M et al. Short term use of oral corticosteroids and related harms among adults in the United States: population based cohort study BMJ 2017; 357 :j1415
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  • Citation tools Download this article to citation manager Kyrgiou Maria , Kalliala Ilkka , Markozannes Georgios , Gunter Marc J , Paraskevaidis Evangelos , Gabra Hani et al. Adiposity and cancer at major anatomical sites: umbrella review of the literature BMJ 2017; 356 :j477
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    This is one of a set of measures used to assess the accuracy of a diagnostic test (see sensitivity, negative predictive value and positive predictive value). Specificity is the proportion of people without a disease who are correctly identified as not having that disease by the diagnostic test. For example, if a test has a specificity of 95%, this means that it correctly identified 95% of the people who did not have the disease, but that 5% of people without the disease were incorrectly diagnosed as having the disease (these people were ‘false positives’ on the test).

    Review of related study in thesis

    review of related study in thesis

    This is one of a set of measures used to assess the accuracy of a diagnostic test (see sensitivity, negative predictive value and positive predictive value). Specificity is the proportion of people without a disease who are correctly identified as not having that disease by the diagnostic test. For example, if a test has a specificity of 95%, this means that it correctly identified 95% of the people who did not have the disease, but that 5% of people without the disease were incorrectly diagnosed as having the disease (these people were ‘false positives’ on the test).

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