Lactobacillus Reuteri DSM 17938 in Infantile Colic: A Systematic Review and Meta-Analysis

Background. Infantile colic, defined as paroxysmal, excessive, and consolable crying without an identifiable cause. It is common in the first 3 months of life. There have been many RCT studies conducted. A systematic synthesis is required to summarize the results of these RCTs. This study was aimed to systematically analyze the benefits of Lactobacillus reuteri DSM 17938 for infantile colic. Methods. This systematic review and meta-analysis used keywords: (“infantile colic” OR “abdominal cramps” OR “abdominal cramp” OR “infant colic”) AND “lactobacillus reuteri” AND (placebo OR placebos) AND (“randomized controlled trial” OR RCT). The databases used were: pubmed, science direct, and google scholar. Meta-analysis was conducted to combine the articles. The eligibility criteria were: patient with infantile colic, intervention with L. reuteri DSM 17938, control was placebo, RCT study design, outcome with dichotomous scale, all races, all ethnicities, all countries, all genders, in English, and not limited by year. Results. The search resulted in 800 articles. After reducing duplication, the number of articles was 747. Screening with titles and abstracts resulted in 13 full teks articles. Six articles fitted the eligibility criteria. The results of the meta-analysis were as follows. The forest plot showed that the combined effect of the six articles showed an RR of 0.47 and was statistically significant (p <0.001). Conclusion. Based on the results of this meta-analysis, L. reuteri DSM 17938 is recommended for infants with infantile colic. There were no significant side effects with the use of L. reuteri DSM 17938 on infantile colic.

Effect of whitening toothpaste on surface roughness and microhardness of human teeth: a systematic review and meta-analysis

Background: Whitening toothpastes exert a whitening effect on teeth through higher surface cleaning effectiveness resulting from the abrasive properties of the paste or specific chemical components. This systematic review and meta-analysis was conceptualized to examine the relationship between whitening toothpastes and surface roughness as well as microhardness of human teeth and to clarify the evidence base available around this relationship by conducting a systematic review and meta-analysis of studies in this topic area, looking at in vitro randomized control trials. Methods: Criteria for including studies in the review were done based on population, intervention, comparison, outcomes and study and studies were identified from electronic databases. Covidence® was used for data screening and data extraction. The CONSORT tool was used for checking relevant content and methodology used in each of the papers reviewed. Systematic review was done followed by meta-analysis, using Review Manager. Results: A total of 125 articles were obtained on key word search. After duplicate removal and title screening, 17 articles were eligible for full text review. Finally, 7 studies were included for systematic review and meta-analysis was conducted on 4 studies. The forest plot for surface roughness showed that that the meta-analytic effect was statistically significant with surface roughness value being higher in the intervention group. The forest plot for microhardness showed that the meta-analytic effect was statistically significant with the microhardness value being lesser in the intervention group. Conclusions: Although whitening toothpastes typically can lighten tooth color by about one or two shades, there is some evidence to show that these toothpastes also affect the mineral content of teeth by increasing surface roughness and reducing microhardness. More evidence and further research are needed to identify the type of whitening agent which will whiten the tooth effectively while maintaining the integrity of the tooth structure.

Land-use history impacts spatial patterns and composition of woody plant species across a 35-hectare temperate forest plot

Land-use history is the template upon which contemporary plant and tree populations establish and interact with one another and exerts a legacy on the structure and dynamics of species assemblages and ecosystems. We use the first census (2010–2014) of a 35-ha forest-dynamics plot at the Harvard Forest in central Massachusetts to describe the composition and structure of the woody plants in this plot, assess their spatial associations within and among the dominant species using univariate and bivariate spatial point-pattern analysis, and examine the interactions between land-use history and ecological processes. The plot includes 108,632 live stems ≥ 1 cm in diameter (2,215 individuals/ha) and 7,595 standing dead stems ≥ 5 cm in diameter. Live tree basal area averaged 42.25 m2/ha, of which 84% was represented by Tsuga canadensis (14.0 m2/ ha), Quercus rubra (northern red oak; 9.6 m2/ ha), Acer rubrum (7.2 m2/ ha) and Pinus strobus (eastern white pine; 4.4 m2/ ha). These same four species also comprised 78% of the live aboveground biomass, which averaged 245.2 Mg/ ha. Across all species and size classes, the forest contains a preponderance (> 80,000) of small stems (<10-cm diameter) that exhibit a reverse-J size distribution. Significant spatial clustering of abundant overstory species was observed at all spatial scales examined. Spatial distributions of A. rubrum and Q. rubra showed negative intraspecific correlations in diameters up to at least a 150-m spatial lag, likely indicative of crowding effects in dense forest patches following intensive past land use. Bivariate marked point-pattern analysis, showed that T. canadensis and Q. rubra diameters were negatively associated with one another, indicating resource competition for light. Distribution and abundance of the common overstory species are predicted best by soil type, tree neighborhood effects, and two aspects of land-use history: when fields were abandoned in the late 19th century and the succeeding forest types recorded in 1908. In contrast, a history of intensive logging prior to 1950 and a damaging hurricane in 1938 appear to have had little effect on the distribution and abundance of present-day tree species. Our findings suggest that current day composition and structure are still being influenced by anthropogenic disturbances that occurred over a century ago.

OSov: An Interactive Web Server to Evaluate Prognostic Biomarkers for Ovarian Cancer

Ovarian cancer is one of the most aggressive and highly lethal gynecological cancers. The purpose of our study is to build a free prognostic web server to help researchers discover potential prognostic biomarkers by integrating gene expression profiling data and clinical follow-up information of ovarian cancer. We construct a prognostic web server OSov (Online consensus Survival analysis for Ovarian cancer) based on RNA expression profiles. OSov is a user-friendly web server which could present a Kaplan–Meier plot, forest plot, nomogram and survival summary table of queried genes in each individual cohort to evaluate the prognostic potency of each queried gene. To assess the performance of OSov web server, 163 previously published prognostic biomarkers of ovarian cancer were tested and 72% of them had their prognostic values confirmed in OSov. It is a free and valuable prognostic web server to screen and assess survival-associated biomarkers for ovarian cancer.

The Prevalence, Etiological Agents, Clinical Features, Treatment, and Diagnosis of HIV-Associated Oral Candidiasis in Pediatrics Across the World: A Systematic Review and Meta-Analysis

In HIV-infected pediatrics, oral candidiasis (OC) is a global issue of concern due to its association with dysphagia, malnutrition, and mortality. The present systematic review and meta-analysis are the first to determine the prevalence of OC in HIV-infected pediatrics worldwide. We searched international (PubMed, Web of Science, Scopus, and Embase) databases for studies published between January 2000 to May 2020 reporting the epidemiologic features of OC in HIV-infected pediatrics. Inclusion and exclusion criteria were defined to select eligible studies. Data were extracted and presented according to PRISMA guidelines. The results of the meta-analysis were visualized as a forest plot. Heterogeneity was also analyzed using the I2, and τ2 statistics. The publication bias was evaluated using Egger test. The literature search revealed 1926 studies, of which 34 studies met the eligibility criteria, consisting of 4,474 HIV-infected pediatrics from 12 different countries. The overall prevalence of OC among HIV-infected pediatrics was 23.9% (95% CI 17.3–32.0%), and Candida albicans was the most prevalent etiologic agent. Pseudomembranous candidiasis was the predominant clinical manifestation in HIV-infected pediatrics suffering from OC. Thirty articles involving 4,051 individuals provided data on HIV treatment status. Among the 4,051 individuals, 468 (11.53%) did not receive HIV treatment. The data from 11 articles demonstrated that HIV treatment was significantly associated with a reduction in oral Candida colonization or infection. In contrast, others showed the opposite relationship or did not report any statistical data. A high level of I2 (I2 = 96%, P &lt; 0.01) and τ2 (τ2 = 1.36, P &lt; 0.01) was obtained among studies, which provides evidence of notable heterogeneity between studies. OC is approximately frequent in HIV-positive children. Therefore, efforts should be made to teach dental and non-dental clinicians who care for HIV-infected pediatrics to diagnose and treat this infection.

Immunogenicity and safety of adenovirus-based vector vaccines for COVID-19: a systematic review and meta-analysis

BACKGROUND Despite various research on vaccine development, severe acute respiratory syndrome coronavirus 2 infection continues to spread. Thus, developing a more effective vaccine for production and clinical efficacy is still in high demand. This review aimed to assess the immunogenicity and safety of adenovirus-based vector vaccine (Ad-vaccines) including Ad5-vectored, ChAdOx1 nCoV-19, rAd26-S or rAd5-S, and Ad26.COV2.S as the promising solutions for COVID-19. METHODS We conducted a systematic review and meta analysis of clinical trials based on the preferred reporting items for systematic reviews and meta-analyses guidelines through PubMed, Scopus, Cochrane, and EBSCOhost until August 17, 2021. We implemented inclusion and exclusion criteria and assessed the studies using OHAT risk of bias rating tool for human and animal studies. Pooled estimates of odds ratio (OR) were analyzed using fixed-effect model. RESULTS This systematic review yielded 12 clinical studies with a total of 75,105 subjects. Although the studies were heterogeneous, this meta-analysis showed that Ad-vaccine significantly increased protection and immune response against COVID-19 with a pooled efficacy of 84.68% compared to placebo (p<0.00001). Forest plot also indicated that Ad-vaccine conferred protection against moderate to severe COVID-19 with a pooled OR of 0.26 (p<0.00001). Ad-vaccine had also shown a good safety profile with local site pain and fever as the most common side effects. CONCLUSIONS Ad-vaccine had shown a good immunogenicity for COVID-19 with a good pooled efficacy and was proven safe for COVID-19 patients.

HIV infection and increased risk of COVID-19 mortality: A Meta-Analysis

There are some concerns on the effect of infection with human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS) on the outcome and mortality of COVID-19. In this meta-analysis, we aimed to address this issue and assess the risk of mortality in COVID-19 patients who are co-infected with HIV. Two International electronic databases (PubMed, Scopus) were searched from the first time available to 12 August 2021. The targeted outcome was the pooled odds ratio to examine the effect of HIV infection on COVID-19 mortality. The crude odds ratio (OR) for all studies and the pooled OR were calculated with 95% confidence interval. The forest plot was used to graphically represent the result of conducted meta-analysis and calculated OR for individual studies. The I2 statistic was used to examine the Heterogeneity in the included studies. Eleven studies were included in our study consisting of 19,642,775 COVID-19 infected cases, 59,980 HIV-positive, and 4,373 deaths due to COVID-19 in HIV positive patients. The overall pooled odds ratio was 1.21 (CI: 1.02; 1.43) and P-value < 0.0277. The I^2 value was 89% (P-value < 0.0001), which shows that included studies are heterogeneous. In this study, the funnel plot analysis showed symmetry among the included studies. HIV-positive patients are 21% more likely to die because of COVID-19 infection than people without HIV. Special attention should be considered for the prevention and treatment of COVID-19 and consistent treatment for HIV infection, in HIV-positive patients.

The Floodplain Forests of the Mamberamo Basin, Papua, Indonesia (Western New Guinea): Vegetation, Soils, and Local Use

New Guinea is the world’s largest, most speciose, and most culturally rich tropical island, and the little-studied Mamberamo Basin of Papua (Indonesian New Guinea) is recognised among the region’s most-important areas for biological diversity. Here, we examined the floodplain forests in the indigenous territory of Papasena, within the Mamberamo-Foja Wildlife Reserve in the Mamberamo Basin. As part of a training activity with local researchers, students, and civil servants, and with the permission and assistance of the local people, we employed various methods including the field surveys detailed here. We used variable-area tree plots, transects for non-trees and soil sampling, and local informants to document 17 plots: four in old-growth dryland forest, five in old-growth swamp forests (two seasonally flooded and three permanently wet including one dominated by sago, Metroxylon sagu Rottb.), five in secondary forest (fallows), and three in gardens (two in swamps and one on dryland). In total, we measured 475 trees over 10 cm in diameter at 1.3 m (dbh). The swamp forests had high local basal areas (highest value 45.1 m2 ha−1) but relatively low statures (20 m but with emergent trees over 40 m). In total, 422 morphospecies from 247 genera and 89 different families were distinguished. These included 138 tree species and 284 non-tree plant species. A quarter (105) of the morphospecies lacked species-level identifications. The woody families Rubiaceae, Araceae, Moraceae, and Euphorbiaceae were especially diverse, with 20 or more morphospecies each. Tree richness was highest in dryland forest (plot 7 having 28 species in 40 stems over 10 cm dbh) with more variation in the flooded forests. Non-tree vegetation showed similar patterns ranging from 65 species in one 40-by-5 m primary forest plot to just 5 in one seasonally flooded forest plot. The local people identified many plants as useful. Among trees, at least 59 species were useful for construction (the most common use), while, for non-trees, medicinal uses were most frequent. Inceptisols dominated (12 plots), followed by Ultisols and Entisols (3 and 2 plots, respectively). Drainage appeared poor and nutrient availability low, while land-suitability criteria implied little potential for crops aside from sago. We discuss the implication of local practises and more recent developments that may threaten the conservation of these floodplain systems. We underline the key role of local people in the oversight and protection of these ecosystems.

Using Forest Plots to Present the Performance Sheets Provided to OSCE Examinees Using Rasch Analysis (Preprint)

BACKGROUND Objective structured clinical examination (OSCE) has become an acceptable method for evaluating clinical skills in healthcare settings. However, none of the current literature has used visualization plots to compare individual OSCE performances. OBJECTIVE This study uses the Rasch model to (1) compare two other scenarios composed of binary scores and mixed binary and percentage responses; (2) draw a forest plot to visualize students’ performance; and (3) observe the comparison of OCSE scores among subgroups (e.g., schools) using real data.. METHODS We obtained data from 29 medical students who participated in OSCE examinations at 12 stations in 2018. The continuous Rasch model (CRM) was applied to estimate person measures and standard errors (SEs). The characteristics of the percentage CRM were interpreted in comparison to the other two counterparts (i.e., binary and mixed scenarios). Forest plots frequently used in meta-analysis were drawn to display those 29 examinees and five subgroups. RESULTS We used online CRM to draw forest plots and observed that (1) the binary scenario had a wider range of measures, followed by the mixed scenario. The percentage mode as expected has narrower ranges in person abilities(from -0.42 to 0.38) and item difficulties(from -0.48 to 0.41) owing to smaller total raw scores when compared to the other two counterparts;(2) all OSCE performances of medical students do not deviate from the middle line with zero logits; (3) The students in Taipei Medical University outperformed other schools among the five subgroups. CONCLUSIONS We designed two online computer modules for (1) estimating person measures and SEs and (2) drawing forest plots to display the OSCE performance sheets for Taiwanese medical students, which helps hospitals evaluate OSCE performances for students efficiently and objectively, but such results are not limited to medical students in the future.