Methods for meta-analysis and meta-regression of binomial data: concepts and tutorial with Stata command metapreg.

Background: Despite the widespread interest in meta-analysis of proportions, its rationale, certain theoretical and methodological concepts are poorly understood. The generalized linear models framework is well-established and provides a natural and optimal model for meta-analysis, network meta-analysis, and meta-regression of proportions. Nonetheless, generic methods for meta-analysis of proportions based on the approximation to the normal distribution continue to dominate.

Comparison and validation of metadta for meta-analysis of diagnostic test accuracy studies.

We developed metadta, a flexible, robust, and user-friendly statistical procedure that fuses established and innovative statistical methods for meta-analysis, meta-regression, and network meta-analysis of diagnostic test accuracy studies in Stata. Using data from published meta-analyses, we validate metadta by comparing and contrasting its features and output to popular procedures dedicated to the meta-analysis of diagnostic test accuracy studies; (midas [Stata], metandi [Stata], metaDTA [web application], mada [R], and MetaDAS [SAS]). We also demonstrate how to perform network meta-analysis with metadta, for which no alternative procedure is dedicated to network meta-analysis of diagnostic test accuracy data in the frequentist framework.

Diagnostic value of α-synuclein seeding amplification assays in α-synucleinopathies: A systematic review and meta-analysis.

Introduction: Alpha-synuclein(αSyn) aggregates are definite pathological hallmarks of α-synucleinopathies. Seeding amplification assays (SAAs) have been developed to detect trace amounts of αSyn oligomers in vivo..

Accuracy and effectiveness of HPV mRNA testing in cervical cancer screening: a systematic review and meta-analysis.

Background: Cervical cancer screening tests that identify DNA of the main causal agent, high-risk human papillomavirus (HPV) types, are more protective than cervical cytology. We systematically reviewed the literature to assess whether tests targeting high-risk HPV (hrHPV) mRNA are as accurate and effective as HPV DNA-based screening tests.

Methods: We did a systematic review to assess the cross-sectional clinical accuracy to detect cervical intraepithelial neoplasia of grade 2 or worse (CIN2+) or 3 or worse (CIN3+) of hrHPV mRNA versus DNA testing in primary cervical cancer screening; the longitudinal clinical performance of cervical cancer screening using hrHPV mRNA versus DNA assays; and the clinical accuracy of hrHPV mRNA testing on self-collected versus clinician-collected samples.

Metadta: a Stata command for meta-analysis and meta-regression of diagnostic test accuracy data - a tutorial.

Background: Although statistical procedures for pooling of several epidemiological metrics are generally available in statistical packages, those for meta-analysis of diagnostic test accuracy studies including options for multivariate regression are lacking. Fitting regression models and the processing of the estimates often entails lengthy and tedious calculations. Therefore, packaging appropriate statistical procedures in a robust and user-friendly program is of great interest to the scientific community.

Group B Streptococcus in surgical site and non-invasive bacterial infections worldwide: A systematic review and meta-analysis.

Objectives: The epidemiology of disease caused by group B Streptococcus (GBS; Streptococcus agalactiae) outside pregnancy and the neonatal period is poorly characterized. The aim of this study was to quantify the role of GBS as a cause of surgical site and non-invasive infections at all ages.

Methods: A systematic review (PROSPERO CRD42017068914) and meta-analysis of GBS as a proportion (%) of bacterial isolates from surgical site infection (SSI), skin/soft tissue infection (SSTI), urinary tract infection (UTI), and respiratory tract infection (RTI) was conducted.

The EMPCAN study: protocol of a population-based cohort study on the evolution of the socio-economic position of workers with cancer.

Background: The improvements in cancer control led to an increase in the number of cancer survivors, notably, in the working age population (16-64 years). There is a strong need to assess and understand their reintegration on the labour market, which underlines and ensures their social integration and quality of life. The objectives of the EMPCAN study is therefore to measure the scale of return-to-work after cancer and to identify the determining factors, allowing for the implementation of an adequate socio-professional support.

Trends in bednet ownership and usage, and the effect of bednets on malaria hospitalization in the Kilifi Health and Demographic Surveillance System (KHDSS): 2008-2015.

Background: Use of bednets reduces malaria morbidity and mortality. In Kilifi, Kenya, there was a mass distribution of free nets to children < 5 years in 2006. In 2009, a new policy was implemented to offer bednets to pregnant women and children < 5 years free of charge.

Cytology versus HPV testing for cervical cancer screening in the general population.

Background: Cervical cancer screening has traditionally been based on cervical cytology. Given the aetiological relationship between human papillomavirus (HPV) infection and cervical carcinogenesis, HPV testing has been proposed as an alternative screening test.

Objectives: To determine the diagnostic accuracy of HPV testing for detecting histologically confirmed cervical intraepithelial neoplasias (CIN) of grade 2 or worse (CIN 2+), including adenocarcinoma in situ, in women participating in primary cervical cancer screening; and how it compares to the accuracy of cytological testing (liquid-based and conventional) at various thresholds.

ANOVA model for network meta-analysis of diagnostic test accuracy data.

Procedures combining and summarising direct and indirect evidence from independent studies assessing the diagnostic accuracy of different tests for the same disease are referred to network meta-analysis. Network meta-analysis provides a unified inference framework and uses the data more efficiently. Nonetheless, handling the inherent correlation between sensitivity and specificity continues to be a statistical challenge.

Metaprop: a Stata command to perform meta-analysis of binomial data.

Background: Meta-analyses have become an essential tool in synthesizing evidence on clinical and epidemiological questions derived from a multitude of similar studies assessing the particular issue. Appropriate and accessible statistical software is needed to produce the summary statistic of interest.

Methods: Metaprop is a statistical program implemented to perform meta-analyses of proportions in Stata.

Plasmodium falciparum infection patterns since birth and risk of severe malaria: a nested case-control study in children on the coast of Kenya.

Children in malaria endemic areas acquire immunity to severe malaria faster than to mild malaria. Only a minority of children suffers from severe malaria and it is not known what determines this. The aim of this study was to establish how P.