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The Ocular Surface Apr 2023Societal factors associated with ocular surface diseases were mapped using a framework to characterize the relationship between the individual, their health and...
Societal factors associated with ocular surface diseases were mapped using a framework to characterize the relationship between the individual, their health and environment. The impact of the COVID-19 pandemic and mitigating factors on ocular surface diseases were considered in a systematic review. Age and sex effects were generally well-characterized for inflammatory, infectious, autoimmune and trauma-related conditions. Sex and gender, through biological, socio-economic, and cultural factors impact the prevalence and severity of disease, access to, and use of, care. Genetic factors, race, smoking and co-morbidities are generally well characterized, with interdependencies with geographical, employment and socioeconomic factors. Living and working conditions include employment, education, water and sanitation, poverty and socioeconomic class. Employment type and hobbies are associated with eye trauma and burns. Regional, global socio-economic, cultural and environmental conditions, include remoteness, geography, seasonality, availability of and access to services. Violence associated with war, acid attacks and domestic violence are associated with traumatic injuries. The impacts of conflict, pandemic and climate are exacerbated by decreased food security, access to health services and workers. Digital technology can impact diseases through physical and mental health effects and access to health information and services. The COVID-19 pandemic and related mitigating strategies are mostly associated with an increased risk of developing new or worsening existing ocular surface diseases. Societal factors impact the type and severity of ocular surface diseases, although there is considerable interdependence between factors. The overlay of the digital environment, natural disasters, conflict and the pandemic have modified access to services in some regions.
Topics: Male; Female; Humans; Pandemics; COVID-19; Socioeconomic Factors; Poverty; Life Style
PubMed: 37062429
DOI: 10.1016/j.jtos.2023.04.006 -
Pain Jul 2021We report a systematic review and meta-analysis of studies that assessed the antinociceptive efficacy of cannabinoids, cannabis-based medicines, and endocannabinoid... (Meta-Analysis)
Meta-Analysis
Systematic review and meta-analysis of cannabinoids, cannabis-based medicines, and endocannabinoid system modulators tested for antinociceptive effects in animal models of injury-related or pathological persistent pain.
We report a systematic review and meta-analysis of studies that assessed the antinociceptive efficacy of cannabinoids, cannabis-based medicines, and endocannabinoid system modulators on pain-associated behavioural outcomes in animal models of pathological or injury-related persistent pain. In April 2019, we systematically searched 3 online databases and used crowd science and machine learning to identify studies for inclusion. We calculated a standardised mean difference effect size for each comparison and performed a random-effects meta-analysis. We assessed the impact of study design characteristics and reporting of mitigations to reduce the risk of bias. We meta-analysed 374 studies in which 171 interventions were assessed for antinociceptive efficacy in rodent models of pathological or injury-related pain. Most experiments were conducted in male animals (86%). Antinociceptive efficacy was most frequently measured by attenuation of hypersensitivity to evoked limb withdrawal. Selective cannabinoid type 1, cannabinoid type 2, nonselective cannabinoid receptor agonists (including delta-9-tetrahydrocannabinol) and peroxisome proliferator-activated receptor-alpha agonists (predominantly palmitoylethanolamide) significantly attenuated pain-associated behaviours in a broad range of inflammatory and neuropathic pain models. Fatty acid amide hydrolase inhibitors, monoacylglycerol lipase inhibitors, and cannabidiol significantly attenuated pain-associated behaviours in neuropathic pain models but yielded mixed results in inflammatory pain models. The reporting of criteria to reduce the risk of bias was low; therefore, the studies have an unclear risk of bias. The value of future studies could be enhanced by improving the reporting of methodological criteria, the clinical relevance of the models, and behavioural assessments. Notwithstanding, the evidence supports the hypothesis of cannabinoid-induced analgesia.
Topics: Analgesics; Animals; Cannabinoids; Cannabis; Endocannabinoids; Male; Models, Animal; Neuralgia
PubMed: 33729209
DOI: 10.1097/j.pain.0000000000002269 -
Journal of Science and Medicine in Sport Apr 2024To examine the effectiveness of different exercise-based interventions to mitigate the risk of anterior cruciate ligament injury in football players, and to determine... (Meta-Analysis)
Meta-Analysis Review
What exercise programme is the most appropriate to mitigate anterior cruciate ligament injury risk in football (soccer) players? A systematic review and network meta-analysis.
OBJECTIVES
To examine the effectiveness of different exercise-based interventions to mitigate the risk of anterior cruciate ligament injury in football players, and to determine which is the most appropriate for them, specifically for female football players.
DESIGN
Four databases were accessed in July 2023 using the keywords football, soccer, athletic injuries, anterior cruciate ligament, knee injuries, injury prevention, exercise-based programme, and risk factor.
METHODS
Randomised controlled trials that evaluated any exercise-based injury prevention intervention compared with a control group on the prevention of anterior cruciate ligament injury in football players were included.
RESULTS
Eleven studies were included. Data were presented as logarithm hazard ratio, credible intervals and standard deviation. FIFA 11+ was the most effective in reducing anterior cruciate ligament injury risk in football players (logarithm hazard ratio = -1.23 [95% credible intervals: -2.20, -0.35]; SD = 0.47), followed by the Knäkontroll programme (logarithm hazard ratio = -0.76 [95% credible intervals: -1.60, -0.03]; standard deviation = 0.42). For females, only Knäkontroll had a significant impact on reducing the risk of anterior cruciate ligament injury (logarithm hazard ratio = -0.62 [95% credible intervals: -1.71, 0.62]; standard deviation = 0.58).
CONCLUSIONS
Our results support the use of FIFA 11+ and Knäkontroll to mitigate injury incidence at overall level. However, the effectiveness of these interventions changed when adjusting for females. Knäkontroll is postulated as the programme with the greatest preventive nature, although these results should be interpreted with caution due to the lack of the sample.
Topics: Humans; Female; Anterior Cruciate Ligament Injuries; Soccer; Network Meta-Analysis; Athletic Injuries; Exercise Therapy
PubMed: 38395699
DOI: 10.1016/j.jsams.2024.02.001 -
Journal of Urban Health : Bulletin of... Jun 2021Homelessness is a persistent global challenge with significant health impacts on those affected. Homeless people are by definition the most exposed to weather conditions... (Review)
Review
Homelessness is a persistent global challenge with significant health impacts on those affected. Homeless people are by definition the most exposed to weather conditions and the social and economic problems caused by extreme weather and climate change and variability. This systematic review was designed to synthesize the academic literature that addresses the health and social implications of global climate change for homelessness. The question examined in this systematic scoping review is the following: What is the current state of knowledge in the scientific literature on the health and social implications of global climate change for homelessness? A systematic scoping review method was used to identify and synthesize the peer-reviewed literature relevant to this question. The databases searched were PsycINFO, Medline, Scopus, and Google Scholar. Of the 26 papers identified in this review, 20 employed original data analyses with conclusions largely inferred from cross-sectional associations. Themes included the potential influence of climate change on homelessness prevalence, climate impacts that exacerbate specific vulnerabilities of homeless populations (e.g., chronic illness, exposure, stigmatization), and health and social outcomes. Service use and design implications were also addressed. Given the scale of the impacts of climate change on homelessness, the literature on this topic poses promising directions but is under-developed in its current state to adequately inform risk mitigation and response planning. A systems framework is proposed here to inform future research and service design.
Topics: Chronic Disease; Climate Change; Cross-Sectional Studies; Ill-Housed Persons; Humans
PubMed: 32965555
DOI: 10.1007/s11524-020-00483-1 -
Expert Systems With Applications Apr 2021The pandemic caused by the novel coronavirus occurred unexpectedly in China in December 2019. Tens of millions of confirmed cases and more than hundreds of thousands... (Review)
Review
The pandemic caused by the novel coronavirus occurred unexpectedly in China in December 2019. Tens of millions of confirmed cases and more than hundreds of thousands of confirmed deaths are reported worldwide according to the World Health Organisation. News about the virus is spreading all over social media websites. Consequently, these social media outlets are experiencing and presenting different views, opinions and emotions during various outbreak-related incidents. For computer scientists and researchers, big data are valuable assets for understanding people's sentiments regarding current events, especially those related to the pandemic. Therefore, analysing these sentiments will yield remarkable findings. To the best of our knowledge, previous related studies have focused on one kind of infectious disease. No previous study has examined multiple diseases via sentiment analysis. Accordingly, this research aimed to review and analyse articles about the occurrence of different types of infectious diseases, such as epidemics, pandemics, viruses or outbreaks, during the last 10 years, understand the application of sentiment analysis and obtain the most important literature findings. Articles on related topics were systematically searched in five major databases, namely, ScienceDirect, PubMed, Web of Science, IEEE Xplore and Scopus, from 1 January 2010 to 30 June 2020. These indices were considered sufficiently extensive and reliable to cover our scope of the literature. Articles were selected based on our inclusion and exclusion criteria for the systematic review, with a total of articles selected. All these articles were formed into a coherent taxonomy to describe the corresponding current standpoints in the literature in accordance with four main categories: lexicon-based models, machine learning-based models, hybrid-based models and individuals. The obtained articles were categorised into motivations related to disease mitigation, data analysis and challenges faced by researchers with respect to data, social media platforms and community. Other aspects, such as the protocol being followed by the systematic review and demographic statistics of the literature distribution, were included in the review. Interesting patterns were observed in the literature, and the identified articles were grouped accordingly. This study emphasised the current standpoint and opportunities for research in this area and promoted additional efforts towards the understanding of this research field.
PubMed: 33139966
DOI: 10.1016/j.eswa.2020.114155 -
International Journal of Environmental... Jul 2022Using digital technology to provide support, medical consultations, healthcare services, and to track the spread of the coronavirus has been identified as an important... (Review)
Review
INTRODUCTION
Using digital technology to provide support, medical consultations, healthcare services, and to track the spread of the coronavirus has been identified as an important solution to curb the transmission of the virus. This research paper aims to (1) summarize the digital technologies used during the COVID-19 pandemic to mitigate the transmission of the COVID-19; (2) establish the extent to which digital technology applications have facilitated mitigation of the spread of COVID-19; and (3) explore the facilitators and barriers that impact the usability of digital technologies throughout the pandemic.
METHODS
A rapid electronic search following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines was conducted of available records up to June 2022 on the medical databases PubMed, Ovid, Embase, CINHAIL, the Cochrane Library, Web of Science, and Google Scholar.
RESULTS
An increasing number and variety of digital health applications have been available throughout the pandemic, such as telehealth, smartphone mobile health apps, machine learning, and artificial intelligence. Each technology has played a particular role in curbing COVID-19 transmission. Different users have gained benefits from using digital technology during the COVID-19 pandemic and different determinants have contributed to accelerating the wheel of digital technology implementation during the pandemic.
CONCLUSION
Digital health during the COVID-19 pandemic has evolved very rapidly, with different applications and roles aimed at curbing the pandemic.
Topics: Artificial Intelligence; COVID-19; Digital Technology; Humans; Pandemics; Telemedicine
PubMed: 35886139
DOI: 10.3390/ijerph19148287 -
American Journal of Kidney Diseases :... Oct 2023COVID-19 disproportionately affects people with comorbidities, including chronic kidney disease (CKD). We describe the impact of COVID-19 on people with CKD and their...
RATIONALE & OBJECTIVE
COVID-19 disproportionately affects people with comorbidities, including chronic kidney disease (CKD). We describe the impact of COVID-19 on people with CKD and their caregivers.
STUDY DESIGN
A systematic review of qualitative studies.
SETTING & STUDY POPULATIONS
Primary studies that reported the experiences and perspectives of adults with CKD and/or caregivers were eligible.
SEARCH STRATEGY & SOURCES
MEDLINE, Embase, PsycINFO, CINAHL searched from database inception to October 2022.
DATA EXTRACTION
Two authors independently screened the search results. Full texts of potentially relevant studies were assessed for eligibility. Any discrepancies were resolved by discussion with another author.
ANALYTICAL APPROACH
A thematic synthesis was used to analyze the data.
RESULTS
Thirty-four studies involving 1,962 participants were included. Four themes were identified: exacerbating vulnerability and distress (looming threat of COVID-19 infection, intensifying isolation, aggravating pressure on families); uncertainty in accessing health care (overwhelmed by disruption of care, confused by lack of reliable information, challenged by adapting to telehealth, skeptical about vaccine efficacy and safety); coping with self-management (waning fitness due to decreasing physical activity, diminishing ability to manage diet, difficulty managing fluid restrictions, minimized burden with telehealth, motivating confidence and autonomy); and strengthening sense of safety and support (protection from lockdown restrictions, increasing trust in care, strengthened family connection).
LIMITATIONS
Non-English studies were excluded, and inability to delineate themes based on stage of kidney and treatment modality.
CONCLUSIONS
Uncertainty in accessing health care during the COVID-19 pandemic exacerbated vulnerability, emotional distress, and burden, and led to reduced capacity to self-manage among patients with CKD and their caregivers. Optimizing telehealth and access to educational and psychosocial support may improve self-management and the quality and effectiveness of care during a pandemic, mitigating potentially catastrophic consequences for people with CKD.
PLAIN-LANGUAGE SUMMARY
During the COVID-19 pandemic, patients with chronic kidney disease (CKD) faced barriers and challenges to accessing care and were at an increased risk of worsened health outcomes. To understand the perspectives about the impact of COVID-19 among patients with CKD and their caregivers, we conducted a systematic review of 34 studies involving 1,962 participants. Our findings demonstrated that uncertainty in accessing care during the COVID-19 pandemic exacerbated the vulnerability, distress, and burden of patients and impaired their abilities for self-management. Optimizing the use of telehealth and providing education and psychosocial services may mitigate the potential consequences for people with CKD during a pandemic.
Topics: Adult; Humans; COVID-19; Pandemics; Communicable Disease Control; Qualitative Research; Renal Insufficiency, Chronic
PubMed: 37330133
DOI: 10.1053/j.ajkd.2023.04.001 -
Cancer Causes & Control : CCC Dec 2021Cardiotoxicity affects 5-16% of cancer patients who receive anthracyclines and/or trastuzumab. Limited research has examined interventions to mitigate cardiotoxicity. We... (Meta-Analysis)
Meta-Analysis
PURPOSE
Cardiotoxicity affects 5-16% of cancer patients who receive anthracyclines and/or trastuzumab. Limited research has examined interventions to mitigate cardiotoxicity. We examined the role of statins in mitigating cardiotoxicity by performing a systematic review and meta-analysis of published studies.
METHODS
A literature search was conducted using PubMed, Embase, Web of Science, ClinicalTrials.gov, and Cochrane Central. A random-effect model was used to assess summary relative risks (RR), weighted mean differences (WMD), and corresponding 95% confidence intervals. Testing for heterogeneity between the studies was performed using Cochran's Q test and the I test.
RESULTS
Two randomized controlled trials (RCTs) with a total of 117 patients and four observational cohort studies with a total of 813 patients contributed to the analysis. Pooled results indicate significant mitigation of cardiotoxicity after anthracycline and/or trastuzumab exposure among statin users in cohort studies [RR = 0.46, 95% CI (0.27-0.78), p = 0.004, [Formula: see text] = 0.0%] and a non-significant decrease in cardiotoxicity risk among statin users in RCTs [RR = 0.49, 95% CI (0.17-1.45), p = 0.20, [Formula: see text] = 5.6%]. Those who used statins were also significantly more likely to maintain left ventricular ejection fraction compared to baseline after anthracycline and/or trastuzumab therapy in both cohort studies [weighted mean difference (WMD) = 6.14%, 95% CI (2.75-9.52), p < 0.001, [Formula: see text] = 74.7%] and RCTs [WMD = 6.25%, 95% CI (0.82-11.68, p = 0.024, [Formula: see text] = 80.9%]. We were unable to explore publication bias due to the small number of studies.
CONCLUSION
This meta-analysis suggests that there is an association between statin use and decreased risk of cardiotoxicity after anthracycline and/or trastuzumab exposure. Larger well-conducted RCTs are needed to determine whether statins decrease risk of cardiotoxicity from anthracyclines and/or trastuzumab.
TRIAL REGISTRATION NUMBER AND DATE OF REGISTRATION
PROSPERO: CRD42020140352 on 7/6/2020.
Topics: Anthracyclines; Cardiotoxicity; Humans; Hydroxymethylglutaryl-CoA Reductase Inhibitors; Neoplasms; Trastuzumab
PubMed: 34406595
DOI: 10.1007/s10552-021-01487-1 -
Biotechnology Advances Oct 2023Temperature affects cellular processes at different spatiotemporal scales, and identifying the genetic and molecular mechanisms underlying temperature responses paves... (Review)
Review
Temperature affects cellular processes at different spatiotemporal scales, and identifying the genetic and molecular mechanisms underlying temperature responses paves the way to develop approaches for mitigating the effects of future climate scenarios. A systems view of the effects of temperature on cellular physiology can be obtained by focusing on metabolism since: (i) its functions depend on transcription and translation and (ii) its outcomes support organisms' development, growth, and reproduction. Here we provide a systematic review of modelling efforts directed at investigating temperature effects on properties of single biochemical reactions, system-level traits, metabolic subsystems, and whole-cell metabolism across different prokaryotes and eukaryotes. We compare and contrast computational approaches and theories that facilitate modelling of temperature effects on key properties of enzymes and their consideration in constraint-based as well as kinetic models of metabolism. In addition, we provide a summary of insights from computational approaches, facilitating integration of omics data from temperature-modulated experiments with models of metabolic networks, and review the resulting biotechnological applications. Lastly, we provide a perspective on how different types of metabolic modelling can profit from developments in machine learning and models of different cellular layers to improve model-driven insights into the effects of temperature relevant for biotechnological applications.
Topics: Temperature; Metabolic Networks and Pathways; Phenotype; Models, Biological
PubMed: 37348662
DOI: 10.1016/j.biotechadv.2023.108203 -
Population Health Management Dec 2021Little information has been compiled across studies about existing interventions to mitigate issues of medical financial hardship, despite growing interest in health... (Review)
Review
Little information has been compiled across studies about existing interventions to mitigate issues of medical financial hardship, despite growing interest in health care delivery. The purpose of this qualitative systematic scoping review was to examine content and outcomes of interventions to address medical financial hardship. PRISMA guidelines were applied to present results using PubMed, Scopus, and CINAHL, published between January 1980 and August 2020. Additional studies were identified through reference lists of selected papers. Included studies focused on mitigating medical financial hardship from out-of-pocket (OOP) health care expenses as an intervention strategy with at least 1 evaluation component. Screening 2412 articles identified 339 articles for full-text review, 12 of which met inclusion criteria. Variation was found regarding targets and outcome measurement of intervention. Primary outcomes were in the following categories: financial outcomes (eg, OOP expenses), behavioral outcomes, psychosocial, health care utilization, and health status. No included studies reported significant reduction in OOP expenses, perceptions of financial burden/toxicity, or health status. However, changes were observed for behavioral outcomes (adherence to treatment, patient needs addressed), some psychosocial outcomes (mental health symptoms, perceived support, patient satisfaction), and care utilization such as routine health care. No patterns were observed in the achievement of outcomes across studies based on intensity of intervention. Few rigorous studies exist in this emerging field, and studies have not shown consistent positive effects. Future research should focus on conceptual clarity of the intervention, align outcome measurement and achieve consensus around outcomes, and employ rigorous study designs, measurement, and outcome follow-up.
Topics: Financial Stress; Health Expenditures; Humans
PubMed: 33989065
DOI: 10.1089/pop.2021.0043