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Partial least squares path modelling for relations between baseline factors and treatment outcomes in periodontal regeneration
Author(s) -
Tu YuKang,
Gilthorpe Mark S.,
D' Aiuto Francesco,
Woolston Andrew,
Clerehugh Valerie
Publication year - 2009
Publication title -
journal of clinical periodontology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.456
H-Index - 151
eISSN - 1600-051X
pISSN - 0303-6979
DOI - 10.1111/j.1600-051x.2009.01475.x
Subject(s) - partial least squares regression , baseline (sea) , ordinary least squares , clinical attachment loss , regression analysis , regression , dimension (graph theory) , dentistry , medicine , statistics , linear regression , mathematics , sufficient dimension reduction , gingival recession , periodontitis , oceanography , pure mathematics , geology
Background: Some clinical outcome variables in periodontal research are mathematically coupled, and it is not feasible to include all the mathematically coupled variables in an ordinary least squares (OLS) regression analysis. The simplest solution to this problem is to drop at least one of the mathematically coupled variables. However, this solution is not satisfactory when the mathematically coupled variables have distinctive clinical implications. Material and Methods: Partial least squares (PLS) methods were used to analyse data from a study on guided tissue regeneration. Relationships between characteristics of baseline lesions and treatment outcomes after 1 year were analysed using PLS, and the results were compared with those from OLS regression. Results: PLS analysis suggested that there were multiple dimensions in the characteristics of baseline lesion: vertical dimension was positively associated with probing pocket depth (PPD) reduction and clinical attachment level (CAL) gain, whilst horizontal dimension was negatively associated with the outcome. Baseline gingival recession had a negative association with PPD reduction but a small positive one with CAL gain. Conclusion: PLS analysis provides new insights into the relationships between baseline characteristics of infrabony defects and periodontal treatment outcomes. The hypothesis of multiple dimensions in baseline lesions needs to be validated by further analysis of different datasets.