Epidemiological Studies Research Articles

Prediabetes and cardiovascular diseases: a serious but overlooked issue

The elevated risk of cardiovascular diseases and prediabetes is a practical area of concern although there is dearth of data coming from across the globe despite epidemiological studies connecting the duo. Recent meta-analysis in BMJ reported relative risk of 1.15 for a composite of cardiovascular disease and 1.16 for ischaemic heart disease in the prediabetic population as opposed to that in the population with normal sugar levels. A recent research placed a 25% elevated risk of myocardial infarction in the prediabetic population along with greater chances of undergoing various forms of revascularization. Prediabetes although defined by numbers and classified as IFG (Impaired fasting glucose) and IGT (Impaired glucose tolerance), debates still exit on the cutoffs to be used and also on use of HbA1C to define prediabetes. Recent Chinese study looked at age specific cut offs for the interplay between prediabetes and elevated cardiovascular disease risk and found family history as an important pointer in the younger age group and life style factors to be of importance in older age group. More research and studies encompassing the global population at large needs to be done to eliminate the population bias involved in a nationwide studies, with insights into the Sirtuin proteins SRT1- 7 and its modulators, whose impact on cardiovascular disease is well established.

Association between nickel exposure and diabetes risk: an updated meta-analysis of observational studies

ObjectiveThe results of epidemiological studies on the association between nickel exposure and diabetes remain controversial. Therefore, an update meta-analysis was conducted to examine the association between urinary nickel levels and diabetes risk, and to focus on whether there is an association between blood nickel levels and diabetes risk.MethodsRelevant studies were comprehensively searched from PubMed, Web of Science, and Wanfang databases from their inception to July 2024. The random-effects model was utilized to determine pooled Standard Mean Difference (SMD) and 95% confidence intervals (CIs), with stratified and sensitivity analyses also performed. Heterogeneity between studies was assessed using I2 statistic, while publication bias was evaluated using Egger's and Begg's tests. The quality of the included studies was assessed using the Newcastle-Ottawa Scale.ResultsA total of 19 studies involving 46,071 participants were included in this meta-analysis. The random-effects model indicated that the pooled SMD for nickel exposure levels in diabetic patients and non-diabetic controls were 0.16 (95% CI 0.07–0.2) for urine and 0.03 (95% CI −0.20 to 0.27) for blood, respectively.ConclusionIt was discovered that diabetes risk was positively correlated with urinary nickel levels, whereas there was no significant correlation with blood nickel levels. Furthermore, it appeared that the association between nickel exposure and diabetes risk differ in individuals with diabetes compared to those with pre-diabetes, and that the direction of the correlation may even be reversed. In conclusion, more high-quality prospective studies are needed in order to validate these findings in future research endeavors.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO, registration number: CRD42024534139.

Association of improvement and worsening of depressive symptoms with arthritis

PurposeThe longitudinal association between changes in depressive symptoms (improvement/worsening) and arthritis is unclear.MethodsStudy data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) 2011–2018. The 10-item Center for Epidemiological Studies Depression Scale (CES-D-10) was used to examine participant depressive symptoms and data on self-reported history of arthritis were collected. Depressive symptoms improving is defined as depression at baseline and no depression at follow-up. Similarly, depressive symptoms worsening is defined as no depression at baseline and depression at follow-up. Cox proportional hazards models were used to evaluate the effects of improvement or deterioration in depressive symptoms on arthritis. Participants with missing data on depression and arthritis, having arthritis in 2011 CHARLS and lost to follow-up was excluded.ResultsA total of 8556 participants free of arthritis were included from 2011 to 2018. After adjustment for confounders, depressive symptoms were associated with a 54% increased risk of developing arthritis. Each 1-point increase in CES-D-10 score was associated with a 4% higher risk of arthritis. Participants with depressive symptoms at baseline but improved symptoms (without depressive symptoms) at follow-up had a 25% lower rate of arthritis, and a 1-point reduction in CES-D-10 score during 8 years of follow-up was associated with a 5% lower risk of developing arthritis. Participants with no depressive symptoms at baseline but depression at follow-up had a 66% higher rate of arthritis, and a 1-point increase in CES-D-10 score during 8 years of follow-up was associated with a 5% higher risk of arthritis.ConclusionsImprovement in depressive symptoms was associated with lower risk of arthritis and worsening of depression was associated with higher risk of arthritis. These findings suggest that the relationship between depression and arthritis is complex.

The relationship between childhood hunger experiences and activities of daily living disability: a mediating role of depression.

Hunger is an important public health issue. This study aims to explore the impact of childhood hunger experiences (CHEs) on activities of daily living (ADL) disability and to discover the mediating role of depression on this correlation. Data were derived from the China Health and Retirement Longitudinal Study 2011, 2013, 2015, 2018, and 2020. Depression was assessed using the Centre for Epidemiological Studies Depression Scale. ADL disability, basic ADL (BADL) disability and instrumental ADL (IADL) disability were assessed using the ADL scale. The relationships between CHEs, depression and ADL disability were estimated using probit methods, and the mediating effect of depression was estimated using the stepwise regression test and bootstrap methods. A total of 9,905 sample were included in the study. The study found that CHEs increased ADL disability by approximately 9.1% (β = 0.091, 95% CI: 0.028, 0.154), and increased the probability of IADL disability by approximately 8.0% (β = 0.080, 95% CI: 0.016, 0.144). CHEs increased ADL disability by approximately 29.8% (β = 0.298, 95% CI: 0.202, 0.393) in samples under 60 years of age. CHEs indirectly increased ADL (β = 0.062, 95% CI: 0.000, 0.124) by increasing the probability of depression. CHEs predicted ADL disability, and depression mediated this correlation. There is a need to focus on the impact of CHEs on mental and physical health. In particular, focusing on mental health is necessary to prevent impairment of physical functioning.

Alcohol consumption-none is better than alittle.

Alcohol is socially accepted and widely consumed as arecreational beverage. Furthermore, it is used as adisinfectant for medicinal purposes and as acultural asset it is also part of religious rituals. However, it is also an intoxicant and an addictive substance. The deleterious side of alcohol is reflected in the fact that around 3million people worldwide die every year as adirect or indirect result of alcohol consumption. For several decades, epidemiological studies suggested that drinking alcohol in moderate quantities was beneficial. This was referred to as the "French paradox," which described differences in mortality between France and Finland mainly, but also other countries, that were found in epidemiological studies. The difference in the levels of alcohol consumption was found to explain the differences in mortality in view of the otherwise similar risk factors. When alcoholic drinks per day were plotted against all-cause mortality this led to aJ-shaped curve. This finding represented awindow of benefit for moderate alcohol consumption. However, the recent publication by Zhao etal. in 2023 revisited the relationship between the quantity of alcohol consumed and mortality risk and led to aparadigm change, which has influenced not only the recommendations of Canada's Guidance on Alcohol and Health but also the recommendations and guidelines of major health organizations: "No alcohol is better than alittle." The J‑shaped curve as an explanation of the French paradox became alinear relationship between the amount of alcohol consumption and the increasing mortality from tumors and cardiovascular diseases. The renewed review of several control groups in previous epidemiological studies revealed arecruitment error due to the inclusion of abstinent ex-drinkers. Taking this bias into account, the alcohol-friendly view of small amounts of alcohol being cardioprotective had to be revised. The combined misuse of alcohol and other risk factors for carcinogenesis and heart diseases still needs further attention. The misuse of both alcohol and cocaine led to the conclusion that when the two risky substances are consumed together, it is even more detrimental than the mere sum of the two.

Mendelian randomization studies of lifestyle-related risk factors for stroke: a systematic review and meta-analysis

ObjectiveStroke risk factors often exert long-term effects, and Mendelian randomization (MR) offers significant advantages over traditional observational studies in evaluating the causal impact of these factors on stroke. This study aims to consolidate and evaluate the relationships between potential causal factors and stroke risk, drawing upon existing MR research.MethodsA comprehensive search for MR studies related to stroke was conducted up to August 2023 using databases such as PubMed, Web of Science, Embase, and Scopus. This meta-analysis examines the relationships between potential causative factors and stroke risk. Both random-effects and fixed-effects models were utilized to compile the dominance ratios of various causative elements linked to stroke. The reliability of the included studies was assessed according to the Strengthening the Reporting of Observational Studies in Epidemiology incorporating Mendelian Randomization (STROBE-MR) guidelines.ResultsThe analysis identified several risk factors for stroke, including obesity, hypertension, low-density lipoprotein cholesterol (LDL-C), chronic kidney disease (CKD), and smoking. Protective factors included high-density lipoprotein cholesterol (HDL-C), estimated glomerular filtration rate (eGFR), and educational attainment. Subgroup analysis revealed that type 2 diabetes mellitus (T2DM), diastolic blood pressure (DBP) are risk factors for ischemic stroke (IS).ConclusionThis study confirms that variables such as obesity, hypertension, elevated LDL-C levels, CKD, and smoking are significantly linked to the development of stroke. Our findings provide new insights into genetic susceptibility and potential biological pathways involved in stroke development.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO, identifier CRD42024503049.

Effects of frequently prescribed antiseizure medications on motor vehicle driving performance: Narrative review based on a tiered approach for the assessment of clinically meaningful driving impairment in the Ministry of Health, Labour, and Welfare guideline.

Patients with epilepsy often require long-term treatment with antiseizure medications, and their impact on daily activities, particularly driving, is of significant concern. The recently published "Guideline for Evaluating Effects of Psychotropic Drugs on the Performance to Drive a Motor Vehicle" in Japan provides a framework that can be referred to for not only the evaluation of new drugs but also the reevaluation of approved drugs. This study conducted a literature review regarding the effects of carbamazepine, valproate, lamotrigine, lacosamide, and levetiracetam, which are frequently prescribed for epilepsy, on driving performance following the guideline's tiered evaluation approach. Analyses of pharmacological, pharmacodynamic, and adverse events suggested that these drugs primarily affect arousal function. Driving studies showed that acute administration of carbamazepine, but not chronic monotherapy with carbamazepine, valproate, lamotrigine, and levetiracetam, significantly impairs driving performance. Epidemiological studies have not identified a definitive association between these drugs and traffic accidents. Initial administration of these five antiseizure medications may affect driving performance, warranting special attention, but the influence appears to diminish with continued use. Nevertheless, while long-term administration of these five drugs may not have a clinically meaningful effect on driving performance, safe driving is not guaranteed for each individual patient, and appropriate individualized guidance is important in clinical practice.

Metabolic Periparturient Diseases in Small Ruminants: An Update

Metabolic diseases are significant diseases that affect the welfare, health, and production of small ruminant flocks raised for dairy and meat purposes. In breeding females, they mainly occur from six to eight weeks before and after parturition, respectively. Pregnancy toxemia and lactational ketosis are manifestations of hyperketonemia, primarily due to energetic deficit. Hypocalcemia and hypomagnesemia are related to the metabolic unavailability of calcium and magnesium, respectively. This review aimed to identify and discuss the current and most relevant aspects related to individual and herd health management of these interrelated metabolic diseases with impact on the sheep and goats’ farm sustainability. These diseases are primarily due to nutritional deficits, but homeostatic and homeorhetic disruptions are responsible for clinical signs and forms. Currently, their clinical diagnosis and monitoring are mainly assessed by biochemistry of body fluids and feed bromatological evaluation. Epidemiological studies and measuring risk factors also contribute to their prevention. Nevertheless, research on specific biomarkers and composite indices related to these diseases, in the context of herd health management and precision medicine, are new pathways driven to suitable and efficient animal production.

Hypothesis testing for detecting outlier evaluators.

In epidemiological studies, the measurements of disease outcomes are carried out by different evaluators. In this paper, we propose a two-stage procedure for detecting outlier evaluators. In the first stage, a regression model is fitted to obtain the evaluators' effects. Outlier evaluators have different effects than normal evaluators. In the second stage, stepwise hypothesis tests are performed to detect outlier evaluators. The true positive rate and true negative rate of the proposed procedure are assessed in a simulation study. We apply the proposed method to detect potential outlier audiologists among the audiologists who measured hearing threshold levels of the participants in the Audiology Assessment Arm of the Conservation of Hearing Study, which is an epidemiological study for examining risk factors of hearing loss.

The Influence of DNA Repair Genes and Prenatal Tobacco Exposure on Risk of Childhood Acute Lymphoblastic Leukemia-A Gene-Environment Interaction Study.

Acute lymphoblastic leukemia (ALL) is the most common type of cancer among children. Tobacco exposure during gestation has been investigated as a potential risk factor, but its role remains undefined. Given tobacco's toxicological profile as a DNA damaging agent, we examined the impact of DNA repair gene variability as a source of vulnerability to tobacco exposure risk for ALL. Leveraging demographic and genotype data from two large California-based ALL epidemiology studies, we used logistic regression, MinimumP (MinP) statistical method and permutation tests to examine interactions between DNA repair genes and prenatal tobacco exposure. We found statistically significant interactions between prenatal tobacco exposure and DNA repair genes RECQL (minP= 1.00x 10-4, FDR-P value = 1.86x 10-2) and TDG (minP= 1.00x 10-4, FDR-P value = 1.86 x 10-2) regarding childhood ALL risk. Notable interactions in the homologous recombination pathway were observed among Latino children, while non-Latino White children displayed significant interactions in the base excision repair and nucleotide excision repair pathways. Our study highlights the significance of DNA repair genes and pathways when evaluating environmental exposure to tobacco smoke, suggesting that genetic variability within these pathways could impact vulnerability in the development of childhood ALL. This study highlights the significant impact of genetic variation interacting with prenatal tobacco exposure on ALL risk. Further research is needed to understand these interactions and their implications for ALL etiology. Expanding studies to other gene-environment interactions will aid in developing targeted prevention, diagnosis, and treatment strategies for pediatric oncology.

Cox regression model with doubly truncated and interval-censored data

Interval sampling is an efficient sampling scheme used in epidemiological studies. Doubly truncated (DT) data arise under this sampling scheme when the failure time can be observed exactly. In practice, the failure time may not be observed and might be recorded only within time intervals, leading to doubly truncated and interval censored (DTIC) data. This article considers regression analysis of DTIC data under the Cox proportional hazards (PH) model and develops the conditional maximum likelihood estimators (cMLEs) for the regression parameters and baseline cumulative hazard function of models. The cMLEs are shown to be consistent and asymptotically normal. Simulation results indicate that the cMLEs perform well for samples of moderate size.

The Icelandic mutation (APP-A673T) is protective against amyloid pathology in vivo.

A previous epidemiological study in Northern Europe showed that the A673T mutation (Icelandic mutation) in the amyloid precursor protein gene (APP) can protect against Alzheimer's disease (AD). While the effect of the A673T mutation on APP processing has been investigated primarily in vitro, its in vivo impact has not been evaluated. This is mainly because most existing AD mouse models carry the Swedish mutation. The Swedish and Icelandic mutations are both located near the β-cleavage site, and each mutation is presumed to have the opposite effect on β-cleavage. Therefore, in the AD mouse models with the Swedish mutation, its effects could compete with the effects of the Icelandic mutation. Here, we introduced the A673T mutation into App knock-in mice devoid of the Swedish mutation (AppG-F mice) to avoid potential deleterious effects of the Swedish mutation and generated AppG-F-A673T mice. APP-A673T significantly downregulated β-cleavage and attenuated the production of Aβ and amyloid pathology in the brains of these animals. The Icelandic mutation also reduced neuroinflammation and neuritic alterations. Both sexes were studied. This is the first successful demonstration of the protective effect of the Icelandic mutation on amyloid pathology in vivo. Our findings indicate that specific inhibition of the APP-BACE1 interaction could be a promising therapeutic approach. Alternatively, introduction of the disease-protective mutation such as APP-A673T using in vivo genome editing technology could be a novel treatment for individuals at high risk for AD, such as familial AD gene mutation carriers and APOE ε4 carriers.Significance statement The A673T mutation (Icelandic mutation) in the APP gene can protect against AD. The effect of the A673T mutation on amyloid pathology has not been evaluated in vivo. Utilizing a new AD mouse model that we have recently developed, we show that the APP-A673T attenuates amyloid pathology in vivo. We demonstrate that its protective effects are exerted by inhibiting β-cleavage and reducing the production of Aβ in the brain. Furthermore, we reveal that the Icelandic mutation also reduced neuroinflammation and neuritic alterations. Our findings indicate that specific inhibition of the APP-BACE1 interaction or introduction of protective variants via in vivo genome editing could be a promising therapeutic approach.

Dermatologic Manifestations in Patients with Metabolic Syndrome in Brazil

Metabolic syndrome (MS), a cluster of cardiovascular risk factors associated with increased mortality, exhibits systemic manifestations in various organs, including the skin. This study aimed to investigate the prevalence of dermatological manifestations in patients with MS attending primary healthcare units staffed by Family Health residents in Gurupi, Tocantins, Brazil. This descriptive, cross-sectional epidemiological study enrolled 93 men and women aged between the ages 25 and 60 y across four Basic Health Units and used a questionnaire administered during medical consultations. In total, 69.89% of samples exhibited dermatological manifestations. Morbid obesity was the leading factor linked to MS and skin alterations, with 100% of these patients presenting with some form of dermatosis, the most identified cutaneous manifestations by prevalence were erythematous lesions, papules and plaques, vesicles and blisters, scaling, and changes in pigmentation.

Assessing the Potential Dangers of Cell Phone Use to Human Health: A Review of the Evidence on Cancer Risk

Cell phones have become ubiquitous in modern life, leading to concerns about potential health risks associated with prolonged exposure to radiofrequency electromagnetic fields (RF-EMF) emitted by these devices. This review examines the current scientific evidence on the potential link between cell phone use and cancer risk, focusing on epidemiological studies, experimental research, and mechanistic investigations. Epidemiological studies, including large-scale cohort studies and case-control studies, have produced mixed results, with some indicating possible associations between cell phone use and specific cancers such as glioma and acoustic neuroma, while others find no significant link. Experimental research has explored potential biological mechanisms, such as oxidative stress and DNA damage, but definitive connections to cancer remain elusive. Regulatory perspectives and public health recommendations emphasize cautious use, particularly among vulnerable populations. Despite extensive research, significant gaps remain, including limited long-term data and inadequate exploration of new technologies like 5G. Future research should address these gaps through long-term, interdisciplinary studies and improved exposure assessment methods. This review highlights the complexity of the issue and underscores the need for ongoing research to provide clearer insights and inform public health guidelines. Keywords: Cell phone use, cancer risk, radiofrequency electromagnetic fields (RF-EMF), epidemiological studies.

Frailty transition and burden on mortality risk in middle-aged and older population: a prospective cohort study

The effect of frailty transition and burden on the risk of all-cause mortality in South Korea remains unclear. This study aimed to investigate the risk of all-cause mortality using the most recent frailty index (FI), changes in FI, and frailty burden. We analyzed data from the Korean Genome and Epidemiology Study (2013–2020). A total of 3,134 participants aged 53–87 years with a computable FI based on the osteoporotic fracture index during their initial visit. The FI was updated biennially during re-examinations and changes between the initial and last visits were categorized into four groups: (1) improved or maintained to non-frail, (2) worsened to pre-frail, (3) improved or maintained to pre-frail, and (4) worsened or maintained to frail. We used the Cox proportional hazards model, adjusted for age, sex, education, lifestyle factors, and diseases. During the follow-up, 218 participants died. Compared to those who were robust at the last visit, pre-frailty and frailty were associated with an increased risk of all-cause death. Of those who visited > 2 times, 62.3% improved or remained robust, and had a decreased risk of all-cause death. Those with > 63% of pre-frailty or frailty burden significantly higher risk of death, with > 60% increase compared to their non-frail counterparts. Maintaining or achieving robustness is associated with a decreased risk of mortality. To prevent premature death and extend healthy life expectancy, identifying biological aging through surrogate measures and implementing interventions to maintain or achieve a robust health status are needed.

One Question, Many Results—Why Epidemiological Studies Yield Heterogeneous Findings. Part 34 of a Series on Evaluation of Scientific Publications.

Observational epidemiologic studies often yield different results on the same question. In this article, we explain how this comes about. In this review, which is based on publications retrieved by a selective search in PubMed and the Web of Science, we use information from international publications, simulation studies on sampling error, and a quantitative bias analysis on fictitious data to demonstrate why the results of epidemiologic studies are often uncertain, and why it is, therefore, generally necessary to perform more than one study on any particular question. Sampling errors, imprecise measurements, alternative but equally appropriate methods of data analysis, and features of the populations being studied are common reasons why studies on the same question can yield different results. Simulation studies are used to illustrate the fact that effect estimates such as relative risks or odds ratios can deviate markedly from the true value because of sampling error, i.e., by chance alone. Quantitative bias analysis is used to show how strongly effect estimates can be distorted by misclassification of exposures or outcomes. Finally, it is shown through illustrative examples that different but equally appropriate methods of data analysis can lead to divergent study results. The above reasons why epidemiologic study results can be heterogeneous are explained in this review. Quantitative bias analyses and sensitivity analyses with alternative data evaluation strategies can help explain divergent results on one and the same question.

The Relation Between Passively Collected GPS Mobility Metrics and Depressive Symptoms: Systematic Review and Meta-Analysis.

The objective, unobtrusively collected GPS features (eg, homestay and distance) from everyday devices like smartphones may offer a promising augmentation to current assessment tools for depression. However, to date, there is no systematic and meta-analytical evidence on the associations between GPS features and depression. This study aimed to investigate the between-person and within-person correlations between GPS mobility and activity features and depressive symptoms, and to critically review the quality and potential publication bias in the field. We searched MEDLINE, PsycINFO, Embase, CENTRAL, ACM, IEEE Xplore, PubMed, and Web of Science to identify eligible articles focusing on the correlations between GPS features and depression from December 6, 2022, to March 24, 2023. Inclusion and exclusion criteria were applied in a 2-stage inclusion process conducted by 2 independent reviewers (YT and JK). To be eligible, studies needed to report correlations between wearable-based GPS variables (eg, total distance) and depression symptoms measured with a validated questionnaire. Studies with underage persons and other mental health disorders were excluded. Between- and within-person correlations were analyzed using random effects models. Study quality was determined by comparing studies against the STROBE (Strengthening the Reporting of Observational studies in Epidemiology) guidelines. Publication bias was investigated using Egger test and funnel plots. A total of k=19 studies involving N=2930 participants were included in the analysis. The mean age was 38.42 (SD 18.96) years with 59.64% (SD 22.99%) of participants being female. Significant between-person correlations between GPS features and depression were identified: distance (r=-0.25, 95% CI -0.29 to -0.21), normalized entropy (r-0.17, 95% CI -0.29 to -0.04), location variance (r-0.17, 95% CI -0.26 to -0.04), entropy (r=-0.13, 95% CI -0.23 to -0.04), number of clusters (r=-0.11, 95% CI -0.18 to -0.03), and homestay (r=0.10, 95% CI 0.00 to 0.19). Studies reporting within-correlations (k=3) were too heterogeneous to conduct meta-analysis. A deficiency in study quality and research standards was identified: all studies followed exploratory observational designs, but no study referenced or fully adhered to the international guidelines for reporting observational studies (STROBE). A total of 79% (k=15) of the studies were underpowered to detect a small correlation (r=.20). Results showed evidence for potential publication bias. Our results provide meta-analytical evidence for between-person correlations of GPS mobility and activity features and depression. Hence, depression diagnostics may benefit from adding GPS mobility and activity features as an integral part of future assessment and expert tools. However, confirmatory studies for between-person correlations and further research on within-person correlations are needed. In addition, the methodological quality of the evidence needs to improve. OSF Registeries cwder; https://osf.io/cwder.

The role of economic evaluation in modelling public health and social measures for pandemic policy: a systematic review

BackgroundDynamic transmission models are often used to provide epidemiological guidance for pandemic policy decisions. However, how economic evaluation is typically incorporated into this technique to generate cost-effectiveness estimates of pandemic policy responses has not previously been reviewed.MethodsWe systematically searched the Embase, PubMed and Scopus databases for dynamic epidemiological modelling studies that incorporated economic evaluation of public health and social measures (PHSMs), with no date restrictions, on 7 July 2024.ResultsOf the 2,719 screened studies, 51 met the inclusion criteria. Most studies (n = 42, 82%) modelled SARS-CoV-2. A range of PHSMs were examined, including school closures, testing/screening, social distancing and mask use. Half of the studies utilised an extension of a Susceptible-Exposed-Infectious-Recovered (SEIR) compartmental model. The most common type of economic evaluation was cost-effectiveness analysis (n = 24, 47%), followed by cost-utility analysis (n = 17, 33%) and cost–benefit analysis (n = 17, 33%).ConclusionsEconomic evaluation is infrequently incorporated into dynamic epidemiological modelling studies of PHSMs. The scope of this research should be expanded, given the substantial cost implications of pandemic PHSM policy responses.

Bibliometric Analysis to Improve Combined Treatment Strategies for Glioblastoma in America

Introduction: Bibliometric analysis quantitatively examines scientific literature to extract insights. This article has conducted such analysis on glioblastoma multiforme (GBM) treatment articles. GBM, a prevalent brain tumor, is typically treated with surgery, radiation, and chemotherapy. Objectives: The article aimed to bibliometrically analyze articles discussing combined GBM treatment to identify impactful research areas and encourage collaboration. Materials and Methods: The study encompassed a comprehensive search in the Scopus database, spanning articles published from 1974 to 2022. Inclusion criteria encompassed research conducted in the Americas, both clinical and experimental. A total of 772 articles were collected and categorized based on their primary focus on combined treatment approaches. Results: Clinical studies constituted 52% of articles, suggesting a slight dominance. The analysis unveiled key research moments, including a 1998 focus shift and a pivotal 2005 study on temozolomide- radiation combination. Top journals, trends, and authors were identified, with the USA leading in contributions. Discussions: Despite high brain tumor incidence, research distribution discrepancy is concerning. Regional epidemiological studies have been endorsed. The dominance of US and German authors in GBM collaboration has raised equity issues due to budget and GDP disparities limiting Latin American representation. Conclusion: GBM research in the region is dominated by the USA, while contributions from Latin American countries remain limited. The absence of comprehensive epidemiological studies on GBM in Latin America is concerning, considering the evident impact of the disease in the region. This underscores the urgent need for increased research participation and collaboration to advance the understanding and treatment of GBM across Latin American nations.

Role of Vitamin D in Gynecological Cancer: State of the Art

: Vitamin D and Vitamin D Receptors have gained more importance beyond their roles in bone metabolism and calcium homeostasis. Several epidemiological studies have confirmed that vitamin D has a specific function in a wide variety of gynecological cancers, such as ovarian cancer, endometrial cancer, cervical cancer, uterine fibroid, and vulvar cancer. The different anti-cancer mechanisms exerted by vitamin D on tumor cells are cell proliferation, cancer progression, angiogenesis, cell cycle arrest, and inflammation. The role of vitamin D is well emphasized in ovarian cancer and uterine fibroids, with limited studies available on cervical cancer and other types of gynecological cancers. Overall, most epidemiological data support that inadequate or low levels of vitamin D in the circulation are associated with risk and poor prognosis in several types of gynecological cancer. It is evident that vitamin D plays a prominent role as an anticancer agent against numerous types of cancer. This review focuses on the etiology and role of vitamin D and the Vitamin D Receptor in various types of gynecological cancer, as well as the mechanism of Vitamin D and its metabolites in the management of gynecological cancer.