Aim To assess the association between periodontitis and preterm birth in women of childbearing age. Materials and Methods This review included analytical case‐control studies and prospective cohort studies evaluating the association between maternal periodontitis and preterm birth. Of the 3104 screened articles, 31 met the inclusion criteria for the review, and 20 met the quality criteria. The selected studies included a total of 10 215 women. Results Twenty articles contributed to the meta‐analysis; 16 used a case‐control design, and 4 were prospective cohort studies. The study heterogeneity was low (Q = 24.2464; P = 0.1869; I2 = 21.63%). A positive association between maternal periodontitis and preterm birth was found in 60% of the studies. Under the random‐effects model, meta‐analysis gave an odds ratio (OR) of 2.01 (95% CI 1.71, 2.36), representing a significant positive association between the explanatory and outcome variables. Conclusion Pregnant mothers with periodontitis double the risk of preterm birth. There is a lack of international consensus for diagnosing maternal periodontitis.

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The growth of the aging population leads to the increase of chronic diseases, of the burden of multimorbility, and of the complexity polypharmacy. The prevalence of medication errors rises in patients with polypharmacy in primary care, and this is a major concern to healthcare systems. This study reviews the published literature on the inappropriate use of medicines in order to articulate recommendations on how to reduce it in chronic patients, particularly in those who are elderly, polymedicated, or multipathological. A systematic review of articles published from January 2000 to October 2015 was performed using MEDLINE, EMBASE, PsychInfo, Scopus, The Cochrane Library, and Index Medicus databases. We selected 80 studies in order to analyse the content that addressed the question under consideration. Our literature review found that half of patients know what their prescribed treatment is; that most of elderly people take five or more medications a day; that in elderly, polymedicated people, the probability of a medication error occurring is higher; that new tools have been recently developed to reduce errors; that elderly patients can understand written information but the presentation and format is an important factor; and that a high percentage of patients have remaining doubts after their visit. Thus, strategies based on the evidence should be applied in order to reduce medication errors.

Background and objective The incubation period of COVID-19 helps to determine the optimal duration of the quarantine and inform predictive models of incidence curves. Several emerging studies have produced varying results; this systematic review aims to provide a more accurate estimate of the incubation period of COVID-19. Methods For this systematic review, a literature search was conducted using Pubmed, Scopus/EMBASE, and the Cochrane Library databases, covering all observational and experimental studies reporting the incubation period and published from 1 January 2020 to 21 March 2020.We estimated the mean and 95th percentile of the incubation period using meta-analysis, taking into account between-study heterogeneity, and the analysis with moderator variables. Results We included seven studies (n = 792) in the meta-analysis. The heterogeneity (I 2 83.0%, p < 0.001) was significantly decreased when we included the study quality and the statistical model used as moderator variables (I 2 15%). The mean incubation period ranged from 5.6 (95% C I: 5.2 to 6.0) to 6.7 days (95% CI: 6.0 to 7.4) according to the statistical model. The 95 th percentile was 12.5 days when the mean age of patients was 60 years, increasing 1 day for every 10 years. Conclusion Based on the published data reporting the incubation period of COVID-19, the mean time between exposure and onset of clinical symptoms depended on the statistical model used, and the 95th percentile depended on the mean age of the patients. It is advisable to record sex and age when collecting data in order to analyze possible differential patterns.

RSV bronchiolitis is a leading cause of hospitalizations for infants under 1 year and has not shown incidence reduction over a 9 year period. Risk factors increase the in-hospital mortality risk and it is higher if the hospitalization cause is RSV bronchiolitis than any other reason.