Multivariable models in orthopaedic research: a methodological review of covariate selection and causal relationships

V. T. Ponkilainen, M. Uimonen, L. Raittio, I. Kuitunen, A. Eskelinen, A. Reito

Research output: Contribution to journalReview ArticleScientificpeer-review

1 Citation (Scopus)

Abstract

Objectives: The aim of this study was to evaluate the methods used for including or excluding covariates in a multivariable model and to find out how common is the Table 2 Fallacy in studies recently published in high-quality orthopaedic journals. Methods: A systematic review was conducted in the MEDLINE database. We included all studies that presented the results of a multivariable model in a table and published in seven orthopaedic journals with the highest ranked impact factors in 2019. Results: Table 2 Fallacy was found in 67% (129/193) of the evaluated studies in which a multivariable model was used. Only 16% (31/193) of all studies had included the variables based on causal inference. Furthermore, only three of these studies used causal diagrams to illustrate the causal inference. Altogether, 35% (67/193) of the studies included variables based on statistical methods. Conclusions: Confounder selection and the interpretation of the results of the multivariable model showed notable challenges in orthopaedic studies recently published in the top orthopaedic journals. Based on the results of our review, it seems that more education in statistics and increased knowledge is required to decrease the occurrence of these statistical issues in orthopaedic research.

Original languageEnglish
JournalOsteoarthritis and Cartilage
DOIs
Publication statusAccepted/In press - 2021
Publication typeA2 Review article in a scientific journal

Keywords

  • Causal inference
  • Confounder selection
  • Methodology
  • Multivariable
  • Table 2 Fallacy

Publication forum classification

  • Publication forum level 2

ASJC Scopus subject areas

  • Rheumatology
  • Biomedical Engineering
  • Orthopedics and Sports Medicine

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