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Validity of self‐reported measures for periodontitis surveillance in a rural sample
Author(s) -
Reiniger Ana Paula Pereira,
Londero Ananda Barrachini,
Ferreira Ticiane de Góes Mário,
da Rocha José Mariano,
Moreira Carlos Heitor Cunha,
Kantorski Karla Zanini
Publication year - 2020
Publication title -
journal of periodontology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.036
H-Index - 156
eISSN - 1943-3670
pISSN - 0022-3492
DOI - 10.1002/jper.19-0292
Subject(s) - logistic regression , periodontitis , medicine , dentistry , gold standard (test) , periodontology , population , positive predicative value , environmental health , predictive value
Background To evaluate the predictive performance of self‐reported questions for periodontitis screening in a representative sample of a rural population. Methods Nine questions were compared with gold standard clinical examinations (probing six sites/tooth, full‐mouth). Case definition for severe periodontitis was defined according to World Workshop (2017‐WW) and Centers for Disease Control and Prevention/American Academy of Periodontology (CDC/AAP). Diagnostic tests such as sensitivity (SN), specificity (SP), positive and negative predictive values were performed for all questions alone and grouped into models. Binary logistic regression modeling was used to derive parameter estimates for all variables in a given model and the area under ROC curve was calculated. Results Clinical examinations showed a prevalence of periodontitis in the sample ( n = 585) of 99.4% and 86.3%, being 40.3% and 33.8% of severe disease according to 2017‐WW and CDC/AAP case definitions, respectively. Individually, only the questions regarding the self‐perception of teeth/gum health and loose and lost teeth were valid to predict severe periodontitis. The best logistic regression models combined sociodemographic variables and risk‐factors with the self‐reported measures of self‐perception of gum disease, teeth/gum health, loose teeth and history of tooth loss. Conclusion Predictive performance of these self‐reported questions presented herein support its potential use for surveillance of severe periodontitis in rural populations with high periodontitis prevalence.