Objective: The current meta-analysis aimed at updating evidence regarding the therapeutic potential of probiotics against autism spectrum disorder (ASD) symptoms and identifying outcome confounders. Methods: Following PRISMA guidelines, randomized placebo-controlled trials retrieved from PubMed, Embase, Cochrane CENTRAL, and ScienceDirect were analyzed for effect size of primary outcomes (i.e., overall behavioral symptom changes) expressed as standardized mean difference (SMD) and odds ratios (ORs) for continuous and categorical variables, respectively, with 95% confidence interval (CI). Results: Meta-analysis of eight studies (465 participants, mean age: 6.03, range: 1.5−45, female: 17.4%) revealed total ASD symptom improvements in the probiotic group compared to placebos (SMD: −0.19, 95% CI: −0.38 to −0.01, p = 0.04, I2 = 0%, eight studies, 465 participants, certainty of evidence [COE]: low). Subgroup analyses showed probiotics-associated improvements only in studies recruiting predominantly preschool children (SMD: −0.30, 95% CI:−0.59 to −0.01, p = 0.04, three studies, 191 participants) or those using probiotics for over three months (SMD:−0.39, 95% CI: −0.73 to −0.06, p = 0.04, three studies, 144 participants) without difference between multipleand single-strain probiotics. No difference was noted in overall dropouts between individuals treated with probiotics and those taking placebos (OR: 0.98, p = 0.94, eight studies, I2 = 0%, 464 participants, COE: low). Despite a low risk of bias in most studies, COE was deemed low from limited trials and inconsistencies on sensitivity analysis. Conclusion The current study showed an association between probiotics use and an improvement in ASD symptoms, mainly in those aged below six or over three-month treatments. More large-scale investigations are warranted to support our findings.

Background: Shared decision making using patient decision aids (PtDAs) was established over a decade ago, but few studies have evaluated its efficacy in Asian countries. We therefore evaluated the application of PtDAs in a decision conflict between two muscle relaxant reversal agents, neostigmine and sugammadex, and sequentially analyzed the regional differences and operating room turnover rates. Methods: This multicenter, outcome-assessor-blind, randomized controlled trial included 3,132 surgical patients from two medical centers admitted between March 2020 and August 2020. The patients were randomly divided into the classical and PtDA groups for pre-anesthesia consultations. Their clinicodemographic characteristics were analyzed to identify variables influencing the choice of reversal agent. On the day of the pre-anesthesia consultation, the patients completed the four SURE scale (sure of myself, understand information, risk-benefit ratio, encouragement) screening items. The operating turnover rates were also evaluated using anesthesia records. Results: Compared with the classical group, the PtDA group felt more confident about receiving sufficient medical information (P < 0.001), felt better informed about the advantages and disadvantages of the medications (P < 0.001), exhibited a superior understanding of the benefits and risks of their options (P < 0.001), and felt surer about their choice (P < 0.001). Moreover, the PtDA group had a significantly greater tendency to choose sugammadex over neostigmine (P < 0.001). Conclusions PtDA interventions in pre-anesthesia consultations provided surgical patients with clear knowledge and better support. PtDAs should be made available in other medical fields to enhance shared clinical decision-making.

The impact the metabolic syndrome (MetS) components on the severity of insulin resistance (IR) has not been reported. We enrolled 564 subjects with MetS and they were divided into quartiles according to the level of each component; and an insulin suppression test was performed to measure IR. In males, steady state plasma glucose (SSPG) levels in the highest quartiles, corresponding to body mass index (BMI) and fasting plasma glucose (FPG), were higher than the other three quartiles and the highest quartiles, corresponding to the diastolic blood pressure and triglycerides, were higher than in the lowest two quartiles. In females, SSPG levels in the highest quartiles, corresponding to the BMI and triglycerides, were higher than in all other quartiles. No significant differences existed between genders, other than the mean SSPG levels in males were greater in the highest quartile corresponding to BMI than that in the highest quartile corresponding to HDL-cholesterol levels. The factor analysis identified two underlying factors (IR and blood pressure factors) among the MetS variables. The clustering of the SSPG, BMI, triglyceride and HDLcholesterol was noted. Our data suggest that adiposity, higher FPG and triglyceride levels have stronger correlation with IR and subjects with the highest BMI have the highest IR.
Waist-Hip Ratio ; Triglycerides/blood ; Middle Aged ; Metabolic Syndrome X/*metabolism ; Male ; *Insulin Resistance ; Humans ; Female ; Fasting/blood ; Cholesterol, HDL/blood ; Body Mass Index ; Blood Glucose/analysis ; Aged ; Adult