2022
DOI: 10.3390/nu14235164
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A Meta-Epidemiological Study of Positive Results in Clinical Nutrition Research: The Good, the Bad and the Ugly of Statistically Significant Findings

Abstract: Positive (statistically significant) findings are easily produced in nutrition research when specific aspects of the research design and analysis are not accounted for. To address this issue, recently, a pledge was made to reform nutrition research and improve scientific trust on the science, encompass research transparency and achieve reproducibility. The aim of the present meta-epidemiological study was to evaluate the statistical significance status of research items published in three academic journals, al… Show more

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Cited by 5 publications
(3 citation statements)
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“…This aligns with prior studies indicating widespread selective outcome reporting in Japanese FFCrelated RCTs [14,15]. Metaepidemiological studies conducted in various countries have highlighted the problem of selective outcome reporting in nutritional research [13,78,79]. Hence, nutritional researchers should strive to enhance the quality of their studies and reporting.…”
Section: Discussionsupporting
confidence: 84%
See 1 more Smart Citation
“…This aligns with prior studies indicating widespread selective outcome reporting in Japanese FFCrelated RCTs [14,15]. Metaepidemiological studies conducted in various countries have highlighted the problem of selective outcome reporting in nutritional research [13,78,79]. Hence, nutritional researchers should strive to enhance the quality of their studies and reporting.…”
Section: Discussionsupporting
confidence: 84%
“…Despite the call for rigorous evidence, nutritional research has historically faced significant skepticism [11]. Previous metaepidemiological studies conducted outside Japan have indicated a potential bias owing to the use of sponsored products in nutritional trials, with the reported research quality being low [12,13]. A previous metaepidemiological study highlighted discrepancies between trial protocols and articles related to FFC [14].…”
Section: Introductionmentioning
confidence: 99%
“…The application of specification curve analysis to nutritional epidemiology: red meat and all-cause mortality A large body of evidence shows inconsistency in the results of nutritional studies, some of which may be explained by analytic flexibility (3,8,20,21). Such inconsistencies have eroded trust in nutritional epidemiology and subjected the field to criticism (22,23).…”
Section: Nutritional Epidemiologymentioning
confidence: 99%