Objective. To assess the efficacy and safety of Chinese medicinal herbs for Childhood Pneumonia. Methods. We included randomized controlled trials (RCTs). The searched electronic databases included PubMed, the Cochrane Central Register of Controlled Trials, EMBASE, CBM, CNKI, and VIP. All studies included were assessed for quality and risk bias. Review Manager 5.1.6 software was used for data analyses, and the GRADEprofiler software was applied to classify the systematic review results. Results. Fourteen studies were identified (n = 1.824). Chinese herbs may increase total effective rate (risk ratio (RR) 1.18; 95% confidence interval (CI), 1.11-1.26) and improve cough (total mean difference (MD), -2.18; 95% CI, (-2.66)-(-1.71)), fever (total MD, -1.85; 95% CI, (-2.29)-(-1.40)), rales (total MD, -1.53; 95% CI, (-1.84)-(-1.23)), and chest films (total MD, -3.10; 95% CI, (-4.11)-(-2.08)) in Childhood Pneumonia. Chinese herbs may shorten the length of hospital stay (total MD, -3.00; 95% CI, (-3.52)-(-2.48)), but no significant difference for adverse effects (RR, 0.39; 95% CI, 0.09-1.72) was identified. Conclusion. Chinese herbs may increase total effective rate and improve symptoms and signs. However, large, properly randomized, placebo-controlled, double-blind studies are required.
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http://dx.doi.org/10.1155/2013/203845 | DOI Listing |
Hum Vaccin Immunother
December 2025
Department of Health, Psychology and Social Care, University of Derby, Derby, UK.
The COVID-19 pandemic has significantly altered public perceptions of vaccines, particularly among parents. In high-income countries like the United Kingdom (UK) and Australia, factors such as misinformation, the expedited approval process of COVID-19 vaccines and unique local challenges have contributed to vaccine hesitancy, resulting in uneven uptake across various vaccination programs. Despite efforts like school-based influenza vaccination programs in the UK and free influenza vaccines in Australia, vaccination rates continue to decline.
View Article and Find Full Text PDFPLoS Med
January 2025
National Child Mortality Database, Bristol Medical School, St Michael's Hospital, University of Bristol, Bristol, United Kingdom.
Background: During the COVID-19 pandemic children and young people (CYP) mortality in England reduced to the lowest on record, but it is unclear if the mechanisms which facilitated a reduction in mortality had a longer lasting impact, and what impact the pandemic, and its social restrictions, have had on deaths with longer latencies (e.g., malignancies).
View Article and Find Full Text PDFPaediatr Drugs
January 2025
Child and Maternal Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, NT, Australia.
Despite significant global reductions in cases of pneumonia during the last 3 decades, pneumonia remains the leading cause of post-neonatal mortality in children aged <5 years. Beyond the immediate disease burden it imposes, pneumonia contributes to long-term morbidity, including lung function deficits and bronchiectasis. Viruses are the most common cause of childhood pneumonia, but bacteria also play a crucial role.
View Article and Find Full Text PDFBiomedica
December 2024
Servicio de Inmunología Clínica y Alergia Pediátrica, HOMI Fundación Hospital Pediátrico de La Misericordia, Bogotá, D. C., Colombia.
Introduction: Predominant antibody deficiency is the most frequent group of innate immunity errors, but information about patients’ nutritional status is scarce.
Objectives: To characterize the nutritional status of Colombian patients with predominant antibody deficiencies.
Material And Methods: Material and methods.
Int J Public Health
January 2025
Department of Political Sciences and International Relations, University of Palermo, Palermo, Italy.
Objectives: The objective is to examine spatial inequalities in COVID-19 mortality rates in Colombia in relation to the spatial distribution of multidimensional poverty.
Methods: A retrospective spatial epidemiological study was conducted in Colombia from 2020 to 2022. Spatial statistics such as Moran's I index, LISA analysis, and simultaneous autoregressive conditional (SAC) regression models were used.
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