Aims and Objectives The aim of this study was to assess methodological quality of all currently available guidelines and consensus statements for IAD using the Appraisal of Guidelines, Research and Evaluation (AGREE) II and the AGREE Recommendation Excellence (AGREE-REX) instruments. Background Globally, incontinence-associated dermatitis (IAD) is a significant health challenge. IAD is a complex healthcare problem that reduces quality of life of patients, increases healthcare costs and prolongs hospital stays. Several guidelines and consensus statements are available for IAD. However, the quality of these guidelines and consensus statements remains unclear. Design A systematic review of guidelines and consensus statements. Methods Our study was undertaken using PRISMA guidelines. We searched seven electronic databases. Guidelines and consensus statements had to be published in English, Chinese or German languages. Five independent reviewers assessed the methodological quality of guidelines and consensus statements using the AGREE II and AGREE-REX instruments. Mean with standard deviation (SD) and median with interquartile range (IQR) were calculated for descriptive analyses. We generated bubble plots to describe the assessment results of each domain of each guideline and consensus statement. Results We included ten guidelines and consensus statements. The NICE guidelines, obtained the highest scores, fulfilled 86.11%-98.61% of criteria in AGREE II and 76.67%-91.11% for AGREE-REX. In the domains 'Stakeholder Involvement' (4.39 +/- 1.64), 'Rigor of Development' (3.38 +/- 1.86), 'Applicability' (3.62 +/- 1.64), 'Editorial Independence' (3.91 +/- 2.56) and 'Values and Preferences' (2.98 +/- 1.41), the remaining guidelines and consensus statements showed deficiencies. Conclusions Altogether, this study demonstrated that the currently available guidelines and consensus statements for IAD have room for methodological improvement. NICE guidelines on faecal incontinence and urinary incontinence have better quality. Remaining guidelines and consensus statements showed substantial methodological weaknesses, especially the domains of 'Stakeholder Involvement', 'Rigor of Development', 'Applicability', 'Editorial independence' and 'Values and Preferences'. This study was registered on INPLASY. (Registration number: INPLASY202190078). Relevance to Clinical Practice The currently available guidelines and consensus statements on IAD have room for methodological improvement.

Background Mild cognitive impairment (MCI) is a cognitive state falling between normal aging and dementia. The relation between alcohol intake and risk of MCI as well as progression to dementia in people with MCI (PDM) remained unclear. Objective To synthesize available evidence and clarify the relation between alcohol intake and risk of MCI as well as PDM. Method We searched electronic databases consisting of PubMed, EMBASE, Cochrane Library, and China Biology Medicine disc (CBM) from inception to October 1, 2019. Prospective studies reporting at least three levels of alcohol exposure were included. Categorical meta-analysis was used for quantitative synthesis of the relation between light, moderate and heavy alcohol intake with risk of MCI and PDM. Restricted cubic spline and fixed-effects dose-response models were used for dose-response analysis. Result Six cohort studies including 4244 individuals were finally included. We observed an unstable linear relation between alcohol intake (drinks/week) and risk of MCI (P linear = 0.0396). It suggested that a one-drink increment per week of alcohol intake was associated with an increased risk of 3.8% for MCI (RR, 1.038; 95% CI 1.002-1.075). Heavy alcohol intake (> 14 drinks/week) was associated with higher risk of PDM (RR = 1.76; 95% CI 1.10-2.82). And we found a nonlinear relation between alcohol intake and risk of PDM. Drinking more than 16 drinks/week (P nonlinear = 0.0038, HR = 1.42; 95% CI 1.00-2.02), or 27.5 g/day (P nonlinear = 0.0047, HR = 1.46; 95% CI 1.00-2.11) would elevate the risk of PDM. Conclusion There was a nonlinear dose-response relation between alcohol intake and risk of PDM. Excessive alcohol intake would elevate the risk of PDM.