A scoping review of Table 2 fallacy in the oral health literature
- PMID: 33368566
- DOI: 10.1111/cdoe.12617
A scoping review of Table 2 fallacy in the oral health literature
Abstract
Background: Coined by Westreich and Greenland in 2013, Table 2 fallacy refers to the practice of reporting estimates of the primary exposure and adjustment covariates derived from a single model on the same table. This study seeks to describe the extent to which Table 2 fallacy is present in the oral health literature and provide recommendations on presenting findings from multivariable-adjusted models and/or interpretation of adjustment covariate estimates that are not the primary exposure.
Methods: We conducted a scoping review in PubMed and Scopus of human observational studies published in 4 oral health journals (JDR-CTR, CDOE, JPHD, BMC Oral Health) starting in 2013 until the end of 2018. The resulting articles were exported into Excel and were either included or excluded for full-text review based on six criteria. After categorizing the articles, we exported and summarized the results in SAS.
Results: A total of 1358 articles were initially screened of which 937 articles were excluded based on title or abstract for being animal studies, systematic reviews or meta-analysis, prediction models or descriptive studies. The remaining 421 articles were eligible for full text reviewed of which, 189 (45%) committed Table 2 fallacy. The prevalence of table 2 fallacy appears high in the oral health literature.
Conclusions: The problem of presenting multiple effect estimates derived from a single model in the same table is that it inadvertently encourages the reader to interpret all estimates the same way, often as total effects. Implications and recommendations are discussed.
Keywords: directed acyclic graph; oral health research; table 2 fallacy.
© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
References
REFERENCES
-
- Westreich D, Greenland S. The table 2 fallacy: Presenting and interpreting confounder and modifier coefficients. Am J Epidemiol. 2013;177(4):292-298.
-
- Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992;3(2):143-155.
-
- Sr C, Ma H. Fallibility in Estimating Direct Effects. Int J Epidemiol. 2002;31(1):163-165.
-
- Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10(1):37-48.
-
- Akinkugbe AA, Sharma S, Ohrbach R, Slade GD, Poole C. Directed acyclic graphs for oral disease research. J Dent Res. 2016;95(8):853-859.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
