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Korean Journal of Radiology Jul 2024This study systematically reviewed the role of diffusion-weighted imaging (DWI) in the assessment of molecular prognostic biomarkers in breast cancer, focusing on the... (Meta-Analysis)
Meta-Analysis Review
This study systematically reviewed the role of diffusion-weighted imaging (DWI) in the assessment of molecular prognostic biomarkers in breast cancer, focusing on the correlation of apparent diffusion coefficient (ADC) with hormone receptor status and prognostic biomarkers. Our meta-analysis includes data from 52 studies examining ADC values in relation to estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), and Ki-67 status. The results indicated significant differences in ADC values among different receptor statuses, with ER-positive, PgR-positive, HER2-negative, and Ki-67-positive tumors having lower ADC values compared to their negative counterparts. This study also highlights the potential of advanced DWI techniques such as intravoxel incoherent motion and non-Gaussian DWI to provide additional insights beyond ADC. Despite these promising findings, the high heterogeneity among the studies underscores the need for standardized DWI protocols to improve their clinical utility in breast cancer management.
Topics: Humans; Breast Neoplasms; Diffusion Magnetic Resonance Imaging; Female; Biomarkers, Tumor; Prognosis; Receptor, ErbB-2; Receptors, Estrogen; Receptors, Progesterone; Ki-67 Antigen
PubMed: 38942456
DOI: 10.3348/kjr.2023.1188 -
Mayo Clinic Proceedings. Digital Health Jun 2024This study aimed to review the application of natural language processing (NLP) in thyroid-related conditions and to summarize current challenges and potential future...
This study aimed to review the application of natural language processing (NLP) in thyroid-related conditions and to summarize current challenges and potential future directions. We performed a systematic search of databases for studies describing NLP applications in thyroid conditions published in English between January 1, 2012 and November 4, 2022. In addition, we used a snowballing technique to identify studies missed in the initial search or published after our search timeline until April 1, 2023. For included studies, we extracted the NLP method (eg, rule-based, machine learning, deep learning, or hybrid), NLP application (eg, identification, classification, and automation), thyroid condition (eg, thyroid cancer, thyroid nodule, and functional or autoimmune disease), data source (eg, electronic health records, health forums, medical literature databases, or genomic databases), performance metrics, and stages of development. We identified 24 eligible NLP studies focusing on thyroid-related conditions. Deep learning-based methods were the most common (38%), followed by rule-based (21%), and traditional machine learning (21%) methods. Thyroid nodules (54%) and thyroid cancer (29%) were the primary conditions under investigation. Electronic health records were the dominant data source (17/24, 71%), with imaging reports being the most frequently used (15/17, 88%). There is increasing interest in NLP applications for thyroid-related studies, mostly addressing thyroid nodules and using deep learning-based methodologies with limited external validation. However, none of the reviewed NLP applications have reached clinical practice. Several limitations, including inconsistent clinical documentation and model portability, need to be addressed to promote the evaluation and implementation of NLP applications to support patient care in thyroidology.
PubMed: 38938930
DOI: 10.1016/j.mcpdig.2024.03.007 -
JACC. Advances Nov 2023Guideline-recommended low-density lipoprotein cholesterol (LDL-C) thresholds are often not achieved in women. The proprotein convertase subtilisin/kexin type-9 inhibitor...
BACKGROUND
Guideline-recommended low-density lipoprotein cholesterol (LDL-C) thresholds are often not achieved in women. The proprotein convertase subtilisin/kexin type-9 inhibitor (PCSK9i) monoclonal antibodies can help further reduce LDL-C and major adverse cardiovascular events (MACE) although differences in efficacy by sex and type are less understood.
OBJECTIVES
The authors sought to determine if there are differences in the efficacy of LDL-C lowering and reduction in the risk of MACE by sex and type of PCSK9i.
METHODS
A comprehensive literature search was done through October 17, 2022, for published trials comparing PCSK9i vs control. Outcomes assessed were LDL-C reduction and incidence of MACE following the use of PCSK9i vs placebo, stratified by sex and type of PCSK9i used.
RESULTS
We identified 16 trials with 54,996 adults, and 15,143 (27.5%) of them were female. PCSK9i significantly reduced MACE compared to placebo in both women (HR: 0.86, 95% CI: 0.74-0.97, < 0.001) and men (HR: 0.85, 95% CI: 0.79-0.91, < 0.001) with no significant sex difference (MD -0.01, 95% CI: -0.14 to -0.13, = 0.930). PCSK9i also significantly reduced LDL-C levels in both sexes at 12 weeks (females: MD -62.57, 95% CI: -70.24 to -54.91, < 0.001; males: MD -66.19, 95% CI: -72.03 to -60.34, < 0.001) and 24 weeks (females: MD -47.52, 95% CI: -52.94 to -42.09, < 0.001; males: MD -54.07, 95% CI: -59.46 to -48.68, < 0.001). Significant sex difference was seen in the LDL reduction of PCSK9i for both 12 weeks (males vs females: MD -4.55, 95% CI: -7.34 to -1.75, < 0.01) and 24 weeks (males vs females: MD -7.11, 95% CI: -9.99 to -4.23, < 0.001).
CONCLUSIONS
The use of PCSK9i results in significant LDL-C and MACE reduction in both males and females. While there is no significant sex difference in MACE reduction, LDL-C reduction is greater in males than in females. Our data support the equal use of PCSK9i in all eligible patients, regardless of sex.
PubMed: 38938736
DOI: 10.1016/j.jacadv.2023.100669 -
BMC Cancer Jun 2024Lung cancer (LC), characterized by high incidence and mortality rates, presents a significant challenge in oncology. Despite advancements in treatments, early detection... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Lung cancer (LC), characterized by high incidence and mortality rates, presents a significant challenge in oncology. Despite advancements in treatments, early detection remains crucial for improving patient outcomes. The accuracy of screening for LC by detecting volatile organic compounds (VOCs) in exhaled breath remains to be determined.
METHODS
Our systematic review, following PRISMA guidelines and analyzing data from 25 studies up to October 1, 2023, evaluates the effectiveness of different techniques in detecting VOCs. We registered the review protocol with PROSPERO and performed a systematic search in PubMed, EMBASE and Web of Science. Reviewers screened the studies' titles/abstracts and full texts, and used QUADAS-2 tool for quality assessment. Then performed meta-analysis by adopting a bivariate model for sensitivity and specificity.
RESULTS
This study explores the potential of VOCs in exhaled breath as biomarkers for LC screening, offering a non-invasive alternative to traditional methods. In all studies, exhaled VOCs discriminated LC from controls. The meta-analysis indicates an integrated sensitivity and specificity of 85% and 86%, respectively, with an AUC of 0.93 for VOC detection. We also conducted a systematic analysis of the source of the substance with the highest frequency of occurrence in the tested compounds. Despite the promising results, variability in study quality and methodological challenges highlight the need for further research.
CONCLUSION
This review emphasizes the potential of VOC analysis as a cost-effective, non-invasive screening tool for early LC detection, which could significantly improve patient management and survival rates.
Topics: Humans; Volatile Organic Compounds; Lung Neoplasms; Early Detection of Cancer; Breath Tests; Exhalation; Sensitivity and Specificity; Biomarkers, Tumor
PubMed: 38937687
DOI: 10.1186/s12885-024-12537-7 -
Clinical Nutrition (Edinburgh, Scotland) Jun 2024The efficacy of medium-chain triglycerides (MCTs) for weight management and mitigating metabolic disorders among individuals with overweight and obesity remains a topic...
BACKGROUNDS
The efficacy of medium-chain triglycerides (MCTs) for weight management and mitigating metabolic disorders among individuals with overweight and obesity remains a topic of ongoing discussion. Notably, there is a gap in the distinction between pure MCTs and medium-long-chain triglycerides (MLCTs).
METHODS
This meta-analysis investigates the efficacy of MCTs on weight loss and glucolipid metabolism in these populations, explicitly evaluating the differential effects of pure MCTs and MLCTs. We performed a random-effects meta-analysis on relevant studies examining weight loss and glucolipid parameters, incorporating a subgroup analysis conducted based on intervention types, pure MCTs versus MLCTs.
RESULTS
Our findings revealed diets enriched with MCTs are more effective in achieving weight reduction (WMD: -1.53%; 95% CI: -2.44, -0.63; p < 0.01), particularly those containing pure MCTs (WMD: -1.62%; 95% CI: -2.78, -0.46; p < 0.01), compared to long-chain fatty acids (LCTs) enriched diets. However, our subgroup analysis indicates that an MLCTs-enriched diet did not significantly reduce weight loss. Additionally, MCTs-enriched diets were associated with significant reductions in blood triglyceride levels and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) scores, compared to LCTs-enriched diets.
CONCLUSIONS
Hence, the authors recommend incorporating pure MCTs in dietary interventions for individuals with overweight and obesity, particularly those with comorbidities such as dyslipidemia and impaired glucose metabolism.
PubMed: 38936302
DOI: 10.1016/j.clnu.2024.06.016 -
Journal of Diabetes and Metabolic... Jun 2024The prevalence of osteoporosis increases as the population ages. The aim of this study was to conduct a systematic review and meta-analysis to estimate the prevalence of... (Review)
Review
PURPOSE
The prevalence of osteoporosis increases as the population ages. The aim of this study was to conduct a systematic review and meta-analysis to estimate the prevalence of osteoporosis among the general population ≥ 50 years old in Iran.
METHODS
Multiple databases including Scopus, WOS, Medline, Embase, and Persian databases (SID and Magiran) were systematically searched to identify relevant research papers. All population-based studies estimating the prevalence of osteoporosis in the Iranian population were included and imported into Endnote software. Two authors independently reviewed the articles. The Newcastle-Ottawa Scale was used to assess the risk of bias. Statistical analysis was performed using Stata software, and a significance level of 0.05 was applied to the analyses.
RESULTS
Totally 2117 documents were retrieved from the databases up until October 11, 2022. After reading the full texts, 10 documents were included in the study. Our results indicated that the pooled prevalence of osteoporosis in the femoral neck region was 0.19 (95%CI: 0.12-0.26) and 0.19 (95%CI: 0.13-0.25) for women and men, respectively. Pooled prevalence of spinal osteoporosis was 0.29 (95%CI: 0.21-0.38) among women and 0.16 (95%CI: 0.12-0.19) among men. The total pooled prevalence of osteoporosis was 0.38 (95%CI: 0.29-0.48) for women and 0.25 (95%CI: 0.22-0.29) for men.
CONCLUSION
Our study highlights the elevated prevalence of osteoporosis among individuals aged 50 years and older, with females exhibiting higher rates. Notably, osteoporosis in the femoral neck region demonstrated the lowest prevalence in both sexes. The implementation of comprehensive strategies is imperative to address osteoporosis problems effectively.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s40200-023-01352-9.
PubMed: 38932872
DOI: 10.1007/s40200-023-01352-9 -
Journal of Diabetes and Metabolic... Jun 2024Frailty is a multifaceted geriatric syndrome characterized by an increased vulnerability to stressful events. metabolomics studies are valuable tool for better... (Review)
Review
BACKGROUND
Frailty is a multifaceted geriatric syndrome characterized by an increased vulnerability to stressful events. metabolomics studies are valuable tool for better understanding the underlying mechanisms of pathologic conditions. This review aimed to elucidate the metabolomics profile of frailty.
METHOD
This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) 2020 statement. A comprehensive search was conducted across multiple databases. Initially, 5027 results were retrieved, and after removing duplicates, 1838 unique studies were subjected to screening. Subsequently, 248 studies underwent full-text screening, with 21 studies ultimately included in the analysis. Data extraction was performed meticulously by two authors, and the quality of the selected studies was assessed using the Critical Appraisal Skills Program (CASP) checklist.
RESULTS
The findings revealed that certain Branched-chain amino acids (BCAAs) levels were lower in frail subjects compared to robust subjects, while levels of glutamate and glutamine were higher in frail individuals. Moreover, sphingomyelins and phosphatidylcholines (PC) displayed a decreasing trend as frailty advanced. Additionally, other metabolic derivatives, such as carnitine, exhibited significant associations with frailty. These metabolites were primarily interconnected through biochemical pathways related to the tricarboxylic acid and urea cycles. Notably, frailty was associated with a decrease in metabolic derivatives, including carnitine.
CONCLUSION
This study underscores the intricate relationship between essential metabolites, including amino acids and lipids, and their varying levels in frail individuals compared to their robust counterparts. It provides a comprehensive panel of metabolites, shedding light on their potential associations with frailty and expanding our understanding of this complex syndrome.
PubMed: 38932837
DOI: 10.1007/s40200-023-01379-y -
Journal of Diabetes and Metabolic... Jun 2024One of the key strategies for effective management of osteoporosis is training health care professionals on early diagnosis and treatment of osteoporosis according to a... (Review)
Review
PURPOSE
One of the key strategies for effective management of osteoporosis is training health care professionals on early diagnosis and treatment of osteoporosis according to a structured course. The aim was to investigate the e-learning courses on osteoporosis around the world in order to develop an online course on osteoporosis management for general practitioners (GPs).
METHODS
In this review, the Web of Science, Scopus, PubMed, Embase, and ERIC databases and the Google search engine were searched until March, 2021.Then, the contents of the eligible courses were extracted by two researchers independently and verified. After that, the content for an online course for GPs was developed and approved by a panel of experts constituted of endocrinologists, orthopedists, and other specialties involved in the management of osteoporosis to develop the final online course for GPs.
RESULTS
In this review, 22 e-learning courses provided through 3 studies, and 19 websites were included. The content of the osteoporosis e-learning course was categorized into ten thematic categories including bone health, osteoporosis definitions and pathophysiology, prevention of osteoporosis, diagnosis of osteoporosis, fractures, non-pharmacological treatments, pharmacological treatments, treatment follow-up, postmenopausal considerations and hands-on work. The final modules for the osteoporosis e-learning contained five main categories, including bone measurement and fracture risk assessment, diagnosis of osteoporosis, clinical management, monitoring and follow-up, and sarcopenia.
CONCLUSION
Through a systematic approach, we developed modules for e-learning of osteoporosis management, which can be used to improve knowledge and skills of GPs in their practice in our setting.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s40200-023-01361-8.
PubMed: 38932826
DOI: 10.1007/s40200-023-01361-8 -
Journal of Diabetes and Metabolic... Jun 2024The relationship between adiposity indicators and thyroid cancer (TC) risk has garnered increasing attention due to the rising prevalence of obesity and its potential... (Review)
Review
BACKGROUND
The relationship between adiposity indicators and thyroid cancer (TC) risk has garnered increasing attention due to the rising prevalence of obesity and its potential impact on cancer incidence. We conducted a comprehensive meta-analysis to investigate this association across various effect measures.
METHOD
Until July 2022, a comprehensive search of databases was conducted to identify cohort studies that assessed the association between adiposity and the development of TC. Meta-analysis was performed using random effects models. Subgroup analyses were conducted to explore heterogeneity. Publication bias was assessed using Begg's tests.
RESULTS
A systematic literature search identified 27 eligible studies reporting odds ratios (OR), relative risks (RR), or hazard ratios (HR) as effect measures. Pooling the studies irrespective of the effect measure, a significant positive association between adiposity indicators and TC risk was observed, yielding an effect estimate of 1.16 (95% CI 1.12-1.21). The combined effect estimate for OR/RR studies was 1.10 (95%CI 1.04-1.17), while HR studies yielded an effect estimate of 1.20 (95%CI 1.13-1.26). Subgroup analyses revealed associations across different age groups, obesity indices, and regions, with some variations based on effect measure. Meta-regression identified follow-up duration as a confounding factor only in HR studies.
CONCLUSION
The synthesis of 27 studies with diverse designs and populations underscores a robust positive association between adiposity and TC risk, providing compelling evidence for the potential role of increased adiposity in TC development.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s40200-024-01425-3.
PubMed: 38932807
DOI: 10.1007/s40200-024-01425-3 -
Journal of Diabetes and Metabolic... Jun 2024Obesity and metabolic syndrome are global health concerns associated with development of different types of diseases and serious health threats in the long term. Their... (Review)
Review
BACKGROUND
Obesity and metabolic syndrome are global health concerns associated with development of different types of diseases and serious health threats in the long term. Their metabolic imbalance can be attributable to inherited and environmental factors. As a considerable environmental agent, heavy metals exposure can predispose individuals to diseases like obesity. This systematic review and meta-analysis aimed to evaluate the association between heavy metals exposure and the risk of obesity.
METHODS
PubMed/MEDLINE, EMBASE and Web of Science were systematically searched until December 17, 2022. Only observational studies that evaluated heavy metals exposure and obesity were included. Studies were excluded if they assessed maternal or prenatal exposure, the mixture of heavy metals and other chemicals, reported the association with overweight or other diseases, and undesirable study designs. The Joanna Briggs Institute checklist was used for quality assessment. The pooled adjusted odds ratio (aOR) and the pooled standardized mean difference (SMD) with their 95% confidence intervals (CIs) were calculated, respectively. The publication bias was evaluated using Egger's and Begg's tests.
RESULTS
Twenty studies (n = 127755), four case-control and sixteen analytical cross-sectional studies, were included. Lead exposure was significantly associated with a lower risk of obesity (aOR: 0.705, 95% CI: 0.498-0.997), while mercury (aOR: 1.458, 95% CI: 1.048-2.031) and barium (aOR: 1.439, 95% CI: 1.142-1.813) exposure increased the risk of obesity. No significant publication bias was found and the studies had a low risk of bias.
CONCLUSION
Overall, lead exposure reduced obesity risk, while mercury and barium exposure raised it. Further large-scale observational studies are recommended to determine the roles of heavy metals in obesity.Study registration ID: CRD42023394865.
SUPPLEMENTARY INFORMATION
The online version contains supplementary material available at 10.1007/s40200-023-01307-0.
PubMed: 38932800
DOI: 10.1007/s40200-023-01307-0