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In meta-analysis, heterogeneity often exists between studies. Knowledge about study features (i.e., moderators) that can explain the heterogeneity in effect sizes can be useful for researchers to assess the effectiveness of existing interventions and design new potentially effective interventions. When there are multiple moderators, they may amplify or attenuate each other's effect on treatment effectiveness. However, in most meta-analysis studies, interaction effects are neglected due to the lack of appropriate methods. The method meta-CART was recently proposed to identify interactions between multiple moderators. The analysis result is a tree model in which the studies are partitioned into more homogeneous subgroups by combinations of moderators. This paper describes the R-package metacart, which provides user-friendly functions to conduct meta-CART analyses in R. learn more This package can fit both fixed- and random-effects meta-CART, and can handle dichotomous, categorical, ordinal and continuous moderators. In addition, a new look ahead procedure is presented. The application of the package is illustrated step-by-step using diverse examples.The analysis of body fluids is of utmost importance in forensic casework since many biological fluids contain DNA. The ATR FT-IR spectroscopy is an emerging approach for the confirmatory, rapid, facile, non-destructive, and on-site identification and differentiation of body fluid stains. Notwithstanding the ATR FT-IR spectroscopy is showing a colossal promise towards the identification of body fluids, and further forensic enquiry related to substrate's interference is still in its infancy stage. Therefore, in the present proof-of-concept study, the ATR FT-IR spectroscopy has been utilized for the detection of vaginal fluid stains and to investigate the effect of different substrates on sample analysis. Simulated vaginal fluid samples were prepared on some selected substrates such as glass, plastic, floor tiles, polished wood, paper, and on various cloth substrates and analyzed without any prior sample preparation. Results suggested that vaginal fluid can be successfully detected on non-porous substrates, but it turned out to be a challenging task on porous substrates. However, on the basis of certain peaks, successful identification of vaginal fluid can be done directly on various case-related substrates. The best approach for the detection of vaginal fluid depends upon the nature of substrates and type of interference encountered. In addition, 10 non-vaginal fluid substances which look similar to vaginal fluid and which may lead to misclassification of vaginal fluid or can deliver false-positive results were also analyzed. The spectra of look-alike substances were classified using the chemometric tools such as PCA and PCA-LDA. The developed PCA model successfully classified all vaginal fluid samples from non-vaginal fluid substances with 100% accuracy, specificity, and sensitivity rate. In addition, the effects of other factors such as aging and mixing with other body fluids have also been studied and the results have been described.The original publication of this paper contains mistakes.Cervical cancer can be prevented and highly curable if detected early. Current guidelines recommend women to receive cervical cancer screening starting at age 21. Our study aims to investigate how improving continuity of care (COC) may influence guideline concordance of cervical cancer screening. Using the eligibility and claims data, we created a person-month panel data set for women who were enrolled in Oregon Medicaid for at least 80% of the period from 2008 to 2015. We then selected our study cohort following the cervical cancer screening guidelines. Our dependent variable is whether a woman received cervical cancer screening concordant with guidelines in a given month, when she did not receive Pap test in the past 36 months and did not receive co-testing of HPV test plus Pap test in the past 60 months. We used both population-averaged logit model and conditional fixed-effect logit model to estimate the association between the guideline concordance and the COC index, after controlling for high risk, pregnancy, age, race, and ethnicity. A total of 466,526 person-month observations were included in our main models. A 0.1 unit increase of the COC score was significantly associated with a decrease in the odds of receiving guideline-concordant cervical cancer screening (population-averaged logit model OR = 0.988, p less then .001; conditional fixed-effect logit model OR = 0.966, p less then .001). Our findings remain robust to a series of sensitivity analyses. A better COC may not be necessarily beneficial to improving cervical cancer prevention. Educations for both physicians and patients should be supplemented to assure quality of preventive care.Introduction The overall survival in patients with gliomas has not significantly increased in the modern era, despite advances such as immunotherapy. This is in part due to their notorious ability to suppress local and systemic immune responses, severely restricting treatment efficacy. Methods We have reviewed the preclinical and clinical evidence for immunosuppression seen throughout the disease process in gliomas. This review aims to discuss the various ways that brain tumors, and gliomas in particular, co-opt the body's immune system to evade detection and ensure tumor survival and proliferation. Results A multitude of mechanisms are discussed by which neoplastic cells evade detection and destruction by the immune system. These include tumor-induced T-cell and NK cell dysfunction, regulatory T-cell and myeloid-derived suppressor cell expansion, M2 phenotypic transformation in glioma-associated macrophages/microglia, upregulation of immunosuppressive glioma cell surface factors and cytokines, tumor microenvironment hypoxia, and iatrogenic sequelae of immunosuppressive treatments. Conclusions Gliomas create a profoundly immunosuppressive environment, both locally within the tumor and systemically. Future research should aim to address these immunosuppressive mechanisms in the effort to generate treatment options with meaningful survival benefits for this patient population.

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