Conectar
The paediatric population represents a quarter of the world’s population, and like adult patients, they have also suffered immeasurably from the SARS-CoV-2 pandemic. Immunisation is an effective strategy for reducing the number of COVID-19 cases. With the advancements in vaccination for younger age groups, parents or guardians have raised doubts and questions about adverse effects and the number of doses required. Therefore, systematic reviews focusing on this population are needed to consolidate evidence that can help in decision-making and clinical practice. This protocol aims to assess the safety of COVID-19 vaccines in paediatric patients and evaluate the correlation between the number of vaccine doses and side effects.
We will search the PubMed, ClinicalTrials.gov, Web of Science, Embase, CINAHL, Latin American and Caribbean Health Sciences Literature, Scopus and Cochrane databases for randomised and quasi-randomised clinical trials that list the adverse effects of the COVID-19 vaccine and assess its correlation with the number of doses, without any language restrictions. Two reviewers will select the studies according to the inclusion and exclusion criteria, extract data and asses for risk of bias using the Cochrane risk-of-bias tool. The Review Software Manager (RevMan V.5.4.1) will be used to synthesise the data. We will use the Working Group’s Grading of Recommendations Assessment, Development and Evaluations to grade the strength of the evidence of the results.
Formal ethical approval is not required as no primary data are collected. This systematic review will be disseminated through a peer-reviewed publication.
CRD42023390077.
The community-based, longitudinal, Canadian HIV Women’s Sexual and Reproductive Health Cohort Study (CHIWOS) explored the experiences of women with HIV in Canada over the past decade. CHIWOS’ high-impact publications document significant gaps in the provision of healthcare to women with HIV. We used concept mapping to analyse and present a summary of CHIWOS findings on women’s experiences navigating these gaps.
Concept mapping procedures were performed in two steps between June 2019 and March 2021. First, two reviewers (AY and PM) independently reviewed CHIWOS manuscripts and conference abstracts written before 1 August 2019 to identify main themes and generate individual concept maps. Next, the preliminary results were presented to national experts, including women with HIV, to consolidate findings into visuals summarising the experiences and care gaps of women with HIV in CHIWOS.
British Columbia, Ontario and Quebec, Canada.
A total of 18 individual CHIWOS team members participated in this study including six lead investigators of CHIWOS and 12 community researchers.
Overall, a total of 60 peer-reviewed manuscripts and conference abstracts met the inclusion criteria. Using concept mapping, themes were generated and structured through online meetings. In total, six composite concept maps were co-developed: quality of life, HIV care, psychosocial and mental health, sexual health, reproductive health, and trans women’s health. Two summary diagrams were created encompassing the concept map themes, one for all women and one specific to trans women with HIV. Through our analysis, resilience, social support, positive healthy actions and women-centred HIV care were highlighted as strengths leading to well-being for women with HIV.
Concept mapping resulted in a composite summary of 60 peer-reviewed CHIWOS publications. This activity allows for priority setting to optimise care and well-being for women with HIV.
Complex, chronic or hard-to-heal wounds are a prevalent health problem worldwide, with significant physical, psychological and social consequences. This study aims to identify factors associated with the healing process of these wounds and develop a mobile application for wound care that incorporates these factors. A prospective multicentre cohort study was conducted in nine health units in Portugal, involving data collection through a mobile application by nurses from April to October 2022. The study followed 46 patients with 57 wounds for up to 5 weeks, conducting six evaluations. Healing time was the main outcome measure, analysed using the Mann–Whitney test and three Cox regression models to calculate risk ratios. The study sample comprised various wound types, with pressure ulcers being the most common (61.4%), followed by venous leg ulcers (17.5%) and diabetic foot ulcers (8.8%). Factors that were found to impair the wound healing process included chronic kidney disease (U = 13.50; p = 0.046), obesity (U = 18.0; p = 0.021), non-adherence to treatment (U = 1.0; p = 0.029) and interference of the wound with daily routines (U = 11.0; p = 0.028). Risk factors for delayed healing over time were identified as bone involvement (RR 3.91; p < 0.001), presence of odour (RR 3.36; p = 0.007), presence of neuropathy (RR 2.49; p = 0.002), use of anti-inflammatory drugs (RR 2.45; p = 0.011), stalled wound (RR 2.26; p = 0.022), greater width (RR 2.03; p = 0.002), greater depth (RR 1.72; p = 0.036) and a high score on the healing scale (RR 1.21; p = 0.001). Integrating the identified risk factors for delayed healing into the assessment of patients and incorporating them into a mobile application can enhance decision-making in wound care.
by Leonides Medeiros Neto, Sebastião Rogerio da Silva Neto, Patricia Takako Endo
Tabular data is commonly used in business and literature and can be analyzed using tree-based Machine Learning (ML) algorithms to extract meaningful information. Deep Learning (DL) excels in data such as image, sound, and text, but it is less frequently utilized with tabular data. However, it is possible to use tools to convert tabular data into images for use with Convolutional Neural Networks (CNNs) which are powerful DL models for image classification. The goal of this work is to compare the performance of converters for tabular data into images, select the best one, optimize a CNN using random search, and compare it with an optimized ML algorithm, the XGBoost. Results show that even a basic CNN, with only 1 convolutional layer, can reach comparable metrics to the XGBoost, which was trained on the original tabular data and optimized with grid search and feature selection. However, further optimization of the CNN with random search did not significantly improve its performance.
Breast cancer survivors (BCSs) experience more severe symptoms of genitourinary syndrome of menopause (GSM) than healthy postmenopausal women. As hormonal therapy with oestrogen should be avoided in BCSs, finding an effective and safe therapy to address vaginal symptoms and sexual dysfunction is urgently needed. Physical methods may be promising alternatives for the specificities of this group of women. This review aims to evaluate the efficacy and safety of physical methods (laser and radiofrequency) for treating GSM in BCSs.
The PubMed, Embase, Web of Science, SciELO, LILACS, Scopus, Cochrane Central Register of Controlled Trials and ClinicalTrials.gov databases will be searched. A search strategy was developed to retrieve clinical trials that evaluate the efficacy and safety of any physical method (laser or radiofrequency) used for GSM in BCSs. No date or language restrictions will be imposed. Two authors will independently select studies by title, abstract and full text to meet the inclusion criteria. Data will be extracted, and the risk of bias will be evaluated using the Cochrane risk-of-bias tool (RoB 2). Review Manager 5.4.1 will be used for data synthesis. The Grading of Recommendations, Assessment, Development and Evaluation will be used to assess the strength of the evidence.
This study reviews the published data; thus, obtaining ethical approval is unnecessary. The findings of this systematic review will be published in a peer-reviewed journal.
CRD42023387680.
FreshRSS