Intralesional immunotherapy for molluscum contagiosum: A review
DERMATOLOGIC THERAPY
Authors: Wells, Amy; Saikaly, Sami K.; Schoch, Jennifer J.
Abstract
Molluscum contagiosum (MC) is a common cutaneous viral infection with no standard treatment. The virus responsible for MC is thought to be cleared by cell mediated immunity (CMI). Intralesional immunotherapy that stimulates CMI has been shown to be an effective treatment for other cutaneous viruses. In this review, we evaluate the efficacy and safety of intralesional immunotherapy in the treatment of MC. Articles met inclusion criteria if they examined the effects of intralesional immunotherapy as a treatment for MC, with a clear outcome and reproducible methodology. 228 studies were screened and 10 studies met criteria for inclusion. Intralesional immunotherapies investigated included candida, combined measles, mumps, rubella vaccine, tuberculin purified protein derivative, vitamin D3, interferon alpha, and Streptococcal substrain OK-432. Studies demonstrated clearance of MC lesions following intralesional immunotherapy, with complete response rates between 36% and 100%. No serious adverse effects were noted. Intralesional immunotherapy is a safe and effective treatment option for MC in pediatric and adult patients.
Geospatial estimation of reproductive, maternal, newborn and child health indicators: a systematic review of methodological aspects of studies based on household surveys
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS
Authors: Ferreira, Leonardo Z.; Blumenberg, Cauane; Utazi, C. Edson; Nilsen, Kristine; Hartwig, Fernando P.; Tatem, Andrew J.; Barros, Aluisio J. D.
Abstract
Background Geospatial approaches are increasingly used to produce fine spatial scale estimates of reproductive, maternal, newborn and child health (RMNCH) indicators in low- and middle-income countries (LMICs). This study aims to describe important methodological aspects and specificities of geospatial approaches applied to RMNCH coverage and impact outcomes and enable non-specialist readers to critically evaluate and interpret these studies. Methods Two independent searches were carried out using Medline, Web of Science, Scopus, SCIELO and LILACS electronic databases. Studies based on survey data using geospatial approaches on RMNCH in LMICs were considered eligible. Studies whose outcomes were not measures of occurrence were excluded. Results We identified 82 studies focused on over 30 different RMNCH outcomes. Bayesian hierarchical models were the predominant modeling approach found in 62 studies. 5 x 5 km estimates were the most common resolution and the main source of information was Demographic and Health Surveys. Model validation was under reported, with the out-of-sample method being reported in only 56% of the studies and 13% of the studies did not present a single validation metric. Uncertainty assessment and reporting lacked standardization, and more than a quarter of the studies failed to report any uncertainty measure. Conclusions The field of geospatial estimation focused on RMNCH outcomes is clearly expanding. However, despite the adoption of a standardized conceptual modeling framework for generating finer spatial scale estimates, methodological aspects such as model validation and uncertainty demand further attention as they are both essential in assisting the reader to evaluate the estimates that are being presented.