Commentary

Conflicting findings regarding the association between poor pregnancy outcomes and periodontal disease flourish in the literature: most studies report a positive association which, if real and independent, would provide new tools to reduce the burden of many neonatal outcomes.1 Unfortunately, it remains unclear the extent to which bias and confounding have affected the reports, and a systematic appraisal of the quality and strength of the evidence is missing.

In this article, the authors aimed, “to assess the effect of maternal periodontal disease on preterm delivery and/or birth of low weight infants” using a systematic review of the observational evidence available. The aim can indeed be achieved by the systematic evaluation of the quality of the studies conducted; subgroup analyses to unravel the impact of bias and confounding; and special consideration of the evidence provided by the best studies.

The authors combined case–control, cohort and cross-sectional studies, ignoring the fact that pooling results taken from several observational studies and different study designs is likely to produce “very precise but equally spurious results” because of the lack of comparability of study groups: these analyses combine average estimates from studies designed to answer different questions in different populations.2 The author also state that the MOOSE guidelines (for meta-analyses and systematic reviews of observational studies in epidemiology)3 were followed, but this is only partially correct.

The main goal of meta-analyses of observational studies is not to provide pooled estimates of association for the assessment of the strength of the evidence, but to provide a tool for the assessment of the heterogeneity and the quality of the available evidence. When observational studies are pooled in a meta-analysis, different type of studies originating from different study populations are merged into a single study group and information about the comparability of different subsets of study participants is lost. For example, any meta-analysis of case–control studies violates the assumption that cases and controls originated from the same underlying population or, in other words, that controls represent a random sample from the whole population giving rise to the cases.4

The study confirms that insignificant-to strong associations between periodontal disease and poor pregnancy outcomes have been reported and that, interestingly, the strength of the association depends of the quality of the studies. The best-ranking studies5, 6 fail to report a significant association. The attempts to weight pooled results using quality scores are not enough to remove the noise.

The cross-sectional and case–control studies included were rather small, and most of the results were not significant. In only two cohort studies,7, 8 which actually had the lowest quality scores in the review, did the authors reported a significant association, whereas the best and largest study included in the review (number of subjects, 3738) reported no association.6

The authors conclude that the findings “indicate a likely association”, but that this needs to be confirmed by large, well-designed, multicentre trials. The negative results of the best and largest study6 included in this review and a recently published, multicentre, randomised controlled trial9 suggest that the query has been answered.

Practice point

Even though most available studies report a positive association between periodontal disease and poor pregnancy outcomes, the evidence provided by the best studies counteracts this and suggests that bias and confounding may account for a considerable proportion of the association.