Reviews on Recent Clinical Trials - Online First
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1 - 20 of 28 results
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Somatic Mutations Profiling in Genes Other than BRCA and TP53 Increasing Breast Carcinoma Risk Among Pakistani Patients
Authors: Yasir Nawaz, Saba Munir, Fouzia Tanvir, Hafiza Fizzah Riaz, Aqeela Nawaz and Samreen RiazAvailable online: 31 July 2025More LessIntroductionBreast cancer is a very common disease affecting females on a global scale. It is responsible for approximately 10% of breast cancer-related fatalities. In 2022, approximately 2,308,897 new cases were reported globally. Recent studies focused on breast tumors have successfully recognized somatic mutations. This study aimed to identify previously unidentified somatic mutations in breast cancer patients belonging to Pakistan.
MethodsThe breast tumor sample was obtained from Jinnah Hospital, Lahore. The DNA was extracted, and whole-exome sequencing was conducted on six samples.
ResultsGene mutations found include 58.69% synonymous SNV, 28.37% nonsynonymous SNV, 3.89% Frameshift deletion, 6.68% Nonframeshift deletion, 2.09% stopgain, and 0.28% stop loss. Among 39 genes analyzed, the prevalence of gene mutations varied, with HYDIN (100%), ENTHD1 (33.33%), ADRA1B (66.67%), GATA3 (50%), CDH1 (16.67%), RB1 (50%), MAP3K1 (100%), EGFR (50%), TRPM6 (33.33%), KHDRBS1 (33.33%), RBM25 (66.67%), SF3B3 (50%), TEK (16.67%), PGK2 (33.33%), CBFB (33.33%), ARID1A (66.67%), KMT2C (100%), HECTD1 (100%), LAMA3 (66.67%), FLG2 (83.33%), UGT2B4 (16.67%), STK33 (66.67%), ACP4 (50%), DNAH8 (100%), TNN (66.67%), IGSF3 (100%), TRIM67 (83.33%), DNMBP (100%), CORO7 (16.67%), CDC27 (33.33%), ZNF544 (50%), MST1 (16.67%), DENND2A (33.33%), NCKAP5 (50%), PCDHB10 (50%), FBXW7 (50%), EIF4G3 (66.67%), IL12RB2 (50%), and PDE4B (50%).
DiscussionBreast cancer is a fatal disease. The high frequency of synonymous mutations was observed. The HYDIN, MAP3K1, KMT2C, HECTD1, DNAH8, IGSF3, DNMBP genes were 100% mutated then other genes.
ConclusionThis study unveils new somatic alterations in different genes among early-onset Pakistani breast cancer patients, offering valuable insights for drug design targeting breast carcinoma.
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Establishment of Automated Biobanking Systems: Technical Considerations
Available online: 31 July 2025More LessBiobanks, repositories of biological samples and associated data, are crucial for advancing our understanding of disease biology. They facilitate long-term sample storage while enabling efficient retrieval for research. However, traditional biobanking practices often struggle to maintain sample quality and uniformity due to repetitive handling and temperature fluctuations during storage and retrieval. The advent of high-throughput “-omics” technologies has further amplified the operational demands on biobanks, necessitating increased scale and agility. Automation offers a solution to these challenges, enabling biobanks to meet the demands of modern research while preserving sample integrity. This review explores the key considerations for establishing an automated biobank, including design principles, essential components, and integration strategies. We discuss various automated storage and retrieval systems, liquid handling platforms, and environmental monitoring tools. Furthermore, we examine the impact of automation on sample quality, data management, and overall biobank efficiency. This review aims to provide a comprehensive overview of automated biobanking, highlighting its potential to revolutionize research and personalized medicine.
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The Effect of Fatigue on Shoulder Proprioception: A Literature Review
Available online: 17 July 2025More LessRecent findings suggest that most sports-related injuries occur during the latter stages of these activities, often due to fatigue, which can impair proprioception and increase the risk of injury. Proprioception can be divided into three categories: joint position sense, the sense of movement (kinesthesia), and the sense of force reproduction. While several studies have examined how exercise-induced fatigue affects various aspects of proprioception on lower limb joints, research focusing on the shoulder joint is limited. This comprehensive review of the effects of exercise-induced fatigue on shoulder proprioception aims to summarize the latest evidence and inform practitioners in the fields of fitness and rehabilitation.
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Cloud Computing Facilitating Data Storage, Collaboration, and Analysis in Global Healthcare Clinical Trials
Authors: Virendra S. Gomase, Arjun P. Ghatule, Rupali Sharma, Satish Sardana and Suchita P. DhamaneAvailable online: 17 July 2025More LessIntroductionHealthcare data management, especially in the context of clinical trials, has been completely transformed by cloud computing. It makes it easier to store data, collaborate in real time, and perform advanced analytics across international research networks by providing scalable, secure, and affordable solutions. This paper explores how cloud computing is revolutionizing clinical trials, tackling issues including data integration, accessibility, and regulatory compliance.
Materials and MethodsKey factors assessed include cloud platform-enabled analytical tools, collaborative features, and data storage capacity. To ensure the safe management of sensitive healthcare data, adherence to laws like GDPR and HIPAA was emphasized.
ResultsReal-time updates and integration of multicenter trial data were made possible by cloud systems, which also showed notable gains in collaborative workflows and data sharing. High scalability storage options reduced infrastructure expenses while upholding security requirements. Rapid interpretation of complicated datasets was made possible by sophisticated analytical tools driven by machine learning and artificial intelligence, which expedited decision-making. Improved patient recruitment tactics and flexible trial designs are noteworthy examples.
ConclusionCloud computing has become essential for international clinical trials because it provides unmatched efficiency in data analysis, communication, and storage. It is a pillar of contemporary healthcare research due to its capacity to guarantee data security and regulatory compliance as well as its creative analytical capabilities. Subsequent research ought to concentrate on further refining cloud solutions to tackle new issues and utilizing their complete capabilities in clinical trial administration.
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Immunoinformatics Approach for Optimization of Targeted Vaccine Design: New Paradigm in Clinical Trials and Healthcare Management
Authors: Virendra S. Gomase, Rupali Sharma and Suchita P. DhamaneAvailable online: 16 July 2025More LessIntroductionThe immunoinformatics approach combines bioinformatics and computational tools, offering a revolutionary method for improving vaccine development by analyzing immune responses at the molecular level. Immunoinformatics enables the creation of customized vaccines designed for specific infections or cancer cells.
ObjectiveThe primary objective of immunoinformatics is to enhance the vaccine development process by predicting and boosting the body’s immune response. It aims to identify potential immunogenic epitopes and biomarkers that are important for creating vaccines with greater specificity and efficacy, especially when dealing with large-scale data.
MethodsImmunoinformatics utilizes a combination of proteomic, genomic, and epigenomic data, as well as machine learning algorithms and artificial intelligence techniques. These tools predict how various immunological components, e.g., T-cell and B-cell epitopes, interact with the immune system. This approach allows researchers to avoid traditional trial-and-error methods, enabling the efficient identification of potential vaccine candidates. Additionally, personalized vaccines can be developed by considering individual genetic and immunological characteristics.
ResultsThe use of immunoinformatics techniques accelerates the screening of vaccine candidates, enhances patient stratification, and optimizes formulations for clinical trials. This approach has been shown to improve vaccine safety, efficacy, and development speed. It also holds promise for managing healthcare on a large scale by producing vaccines tailored to specific populations, thereby improving the overall effectiveness of vaccination programs.
ConclusionImmunoinformatics represents a transformative approach to vaccine research, improving clinical trial efficiency and enabling the development of more reliable, flexible, and personalized vaccines. This approach has the potential to significantly enhance global healthcare outcomes by accelerating the vaccine development process and optimizing vaccination strategies.
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Topical Application of Olive Oil in Preventing Pressure Injuries Among Hospitalized Patients with Mobility Limitations: A Cluster Randomized Trial in the United Arab Emirates
Available online: 07 July 2025More LessIntroductionPressure injuries (PIs) pose a significant threat to the safety of hospitalized, mobility-compromised patients globally. Olive oil has shown promising results in preventing PIs due to its high concentrations of monounsaturated fatty acids and phenol antioxidants, known for their anti-inflammatory and cell-protective properties. This study aimed to evaluate the effectiveness of topical olive oil combined with routine preventive interventions in reducing PI incidence.
MethodsA single-blinded, cluster-randomized study was conducted among 80 hospitalized patients at risk of developing PIs. Participants were randomized into two clusters: the intervention group (IVG, n=40) received standard PI preventive care (skin assessment, repositioning, support surfaces) plus topical olive oil application for 7 consecutive days; the control group (CG, n=40) received only standard care. PI prevalence and Braden Scale scores were assessed at baseline and post-intervention (days 3-8). Data were analyzed using descriptive statistics and paired sample t-tests.
ResultsAt baseline, both groups had a PI prevalence of 52.5% (n=21). After the intervention, prevalence reduced to 5% (n=2) in IVG and 22.5% (n=9) in CG. The Braden Scale score in the IVG declined from 12.45±0.50 to 11.75±1.13. Statistically significant improvements were observed in Braden scores between day 1 and day 3 (IVG: x̄= -0.28±0.55, t= -3.14, p <0.05; CG: x̄= -0.58±4.69, t= -4.66, p <0.05) and between day 1 and day 8 (IVG: x̄= -0.70±1.07, t= -4.15, p <0.05; CG: x̄= 1.38±1.58, t= -5.50, p <0.05).
DiscussionThe findings underscore the clinical benefit of incorporating topical olive oil into standard PI preventive care. The significant reduction in PI prevalence and improved Braden Scale scores suggest olive oil’s potential role as a protective agent due to its anti-inflammatory and antioxidant properties. These results align with existing literature on natural oil-based interventions for skin integrity. However, limitations include the small sample size and short duration, warranting further large-scale studies.
ConclusionTopical olive oil, when used alongside standard care practices, significantly reduced the incidence of pressure injuries in hospitalized, at risk patients. This approach could serve as a cost-effective, natural adjunct to PI prevention protocols, particularly in resource-limited healthcare settings.
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The Role of Animal Models in Huntington's Disease Clinical Trials: Decoding Genetic, Non-Genetic, and Molecular Pathways
Authors: Aarti A. Bhimanwar, Aditi S. Kulkarni and Virendra S. GomaseAvailable online: 07 July 2025More LessBackgroundHuntington's disease (HD) is a neurodegenerative disorder due to a CAG trinucleotide repeat expansion in the HD gene. Animal models have been instrumental in revealing the genetic and molecular bases of HD. While animal models cannot exactly model the human disease because of anatomical and lifespan differences, they are essential in revealing HD pathology and possible treatments.
ObjectiveThis review aimed to highlight the significance of animal models, particularly rodents, in deepening our knowledge of Huntington's disease. It underlines how non-genetic and genetic models have aided research and therapy innovation as well as their limitations.
MethodsThis review addresses the use of different models of animals, including genetic models, such as transgenic mice and non-genetic models, for example, invertebrates and non-human primates. It addresses the creation of these models through methods, such as gene transfer techniques and transgenic manipulation, to simulate the genetic defects that occur in humans. The applicability of model choice based on validity criteria, including symptom manifestation and treatment effectiveness, is also discussed.
ResultsThis study underscores the effectiveness of the R6/2 mouse model, characterized by accelerated symptom onset and HD pathology. Progress in genetic engineering has also boosted the construction of murine and rat models that reproduce the hereditary aspects of HD, providing significant platforms for experimental investigation.
ConclusionEven with their limitations, animal models, especially rodents, continue to play a vital role in the study of HD pathogenesis and therapeutic intervention. These models still shed light on the disease and direct towards the identification of effective treatments.
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Inter-rater Reliability and Accuracy of NBI Score for Activity Evaluation in Ulcerative Colitis
Available online: 03 July 2025More LessIntroductionColonoscopy is a critical tool for the management of Ulcerative Colitis (UC). In this study, we aim to explore the accuracy of Virtual Chromoendoscopy (VCE) using Narrow Banding Imaging (NBI), and magnification using Near Focus (NF) for a better definition of endoscopic inflammation grade in UC patients compared to standard white light (WL) endoscopy alone.
MethodsThis is a non-randomized prospective study including all the patients who underwent a colonoscopy (for any reason) between April and September 2023 (with protocol number n. 60/2019.20). During the endoscopic evaluation, at least one image with white light - evaluated using the Mayo Endoscopic Score (MES), one image with NBI, one image with NBI plus NF, and a biopsy were obtained in each colonic tract (cecum, ascending colon, transverse colon, descending colon, sigmoid colon, and rectum). All the stored images were evaluated by three endoscopists separately and compared with the results of the histological evaluation.
ResultsA total of 31 UC patients were included. The inter-rater reliability concerning the different scores used (MES, NBI score, and NBI plus NF score), which was evaluated with Cohen's kappa coefficient, was good for the MES, good to excellent for the NBI score, and good for the NBI plus NF score. The concordance between histological evaluation (using the Nancy Index) and the MES was unsatisfactory for all the endoscopists, while the concordance between the NBI evaluation score and the Nancy Index was good to excellent.
DiscussionThe reported results demonstrated both the inter-rater reliability and diagnostic accuracy of NBI in assessing endoscopic disease activity. The high inter-operator agreement, ranging from good to excellent, further supports the feasibility and consistency of NBI as a practical tool.
ConclusionThe results in the present study suggest that the new endoscopic technologies could be useful to better define disease activity in Inflammatory Bowel Disease (IBD) patients driving better therapeutic strategy.
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Evaluating the Impact of Lifestyle Interventions on Health Outcomes in Breast Cancer Survivors: A Systematic Review
Authors: Sana Jameel, Tuba Razi, Gulafshan Fatima, Abiha Ahmad Khan, Syeda Aamena Naaz and Hina MerajAvailable online: 24 June 2025More LessIntroductionLifestyle interventions have been increasingly studied for their potential to improve health outcomes in breast cancer survivors. However, the relative effectiveness of these interventions remains unclear. This study aimed to evaluate the impact of various lifestyle changes on the health outcomes of breast cancer survivors.
MethodsA comprehensive analysis of randomized controlled trials (RCTs) involving breast cancer survivors was conducted across major databases, including PubMed, Scopus, Embase, CINAHL, Cochrane Library, and ClinicalTrials.gov. Studies were selected based on their evaluation of lifestyle interventions aimed at reducing breast cancer risk and its recurrence and or improving survival. Non-RCTs and studies focusing solely on pharmacological or genetic interventions were excluded. The risk of bias in included randomized controlled trials was assessed using the Cochrane Risk of Bias 2 (RoB 2). The results of the included studies were presented in tabulated form.
ResultsPhysical activity emerged as the most effective intervention, significantly enhancing metabolic health, body composition, and cardiorespiratory fitness. Dietary changes and weight management programs provided secondary health benefits, such as modest improvements in diet quality, metabolic markers, and quality of life. The combined intervention of diet and exercise further improved these outcomes although it did not significantly reduce cancer recurrence. The digital support system (EMPOWER-SMS) was feasible and acceptable, offering minor improvements in medication adherence and self-efficacy, though its effects on BMI and quality of life were less pronounced.
DiscussionAmong the various lifestyle interventions explored for breast cancer survivors, physical activity consistently emerged as the most effective in improving health outcomes. While dietary changes, weight management, and combined interventions also offered health benefits, their direct impact on key outcomes like cancer recurrence and survival was less clear. However, when integrated with regular exercise, these interventions contributed to holistic improvements in quality of life, making a combined approach potentially the most comprehensive for supporting breast cancer survivors. This systematic review's limitations include intervention heterogeneity, varied follow-up durations, inconsistent outcome measures, small sample sizes, lack of control over confounding variables, limited participant diversity, potential publication bias, and a focus on short-term outcomes.
ConclusionPhysical activity emerged as the most beneficial lifestyle intervention for breast cancer survivors, particularly when combined with dietary modifications and weight management. A holistic approach that integrates physical activity, dietary changes, and digital support may provide the most comprehensive benefits for breast cancer survivors.
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Assessing the Efficacy of Small Molecule Drugs in Hutchinson-Gilford Progeria Syndrome: A Review of Clinical Trials
Authors: Drashti Desai, Charmi Jyotishi, Suresh Prajapati and Reeshu GuptaAvailable online: 20 June 2025More LessHutchinson–Gilford Progeria Syndrome (HGPS), or progeria, is an exceptionally rare disorder characterized by premature aging. It is primarily caused by a c.1824C>T point mutation in exon 11 of the LMNA gene, though other rare pathogenic variants have also been reported. This mutation leads to aberrant splicing, producing a farnesylated mutant form of lamin A known as progerin. Progerin accumulates abnormally in the nuclear lamina, triggering numerous cellular dysfunctions, including nuclear deformation, disrupted proteostasis, endoplasmic reticulum (ER) stress, replicative stress, increased reactive oxygen species (ROS) production, impaired DNA end-joining repair, mitochondrial dysfunction, and cellular senescence. These disruptions collectively manifest as a multisystem disorder characterized by failure to thrive, accelerated atherosclerosis, and severe complications such as myocardial infarction, heart failure, stroke, and risks associated with head trauma or surgical interventions. Farnesyltransferase inhibitors (FTIs) have shown potential in mitigating disease phenotypes in preclinical models, with lonafarnib achieving FDA approval in 2020 as the first—and currently only—drug for progeria treatment. This review focuses on the clinical trial outcomes of small-molecule therapeutics for progeria, with particular emphasis on emerging small molecules from recent research. These novel compounds, with their unique mechanisms of action, hold promise not only for improving disease management but potentially offering a cure for this devastating condition.
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ICU Mortality Prediction Using XGBoost-based Scoring Systems: A Study from a Developing Country
Available online: 18 June 2025More LessIntroductionAccurate mortality prediction in intensive care units (ICUs) is essential for enhancing patient outcomes and optimizing healthcare resource allocation. Traditional scoring systems, such as APACHE, APACHE II, and SAPS, have limitations in handling complex, high-dimensional ICU data. In this study, multiple machine learning models were compared to establish an efficacious predictive model for mortality tailored explicitly to the Jordanian population and to explicate factors strongly associated with mortality.
MethodsThis study was conducted as a single-center, retrospective cohort investigation, and the XGBoost machine learning algorithm was used to develop a novel ICU mortality prediction model. The model aimed to achieve superior prediction accuracy using a diverse set of readily available clinical data, including demographics, comorbidities, laboratory results, and medication groups. Model performance was evaluated against alternative machine learning algorithms, including logistic regression, conventionally employed in traditional scoring systems.
ResultsComparative analysis revealed that the XGBoost model performed better than other scoring systems, manifesting heightened accuracy (87.91%), sensitivity (92.88%), and Area Under the Receiver-Operating Characteristic Curve (AUC-ROC) Score/Curve (94.29%). Notably, the patient's length of hospital stays, albumin levels, and urea levels emerged as the most substantial predictors for ICU mortality, each exhibiting respective SHAP values of 0.5, 0.41, and 0.37.
DiscussionA locally adapted ICU mortality prediction model was developed, underscoring the pivotal role of predictors such as hospital stay duration, albumin, and urea levels in predicting patient outcomes.
ConclusionThe heightened accuracy and sensitivity of the XGBoost model signify its potential as an invaluable tool in the critical task of mortality prediction within the Jordanian ICU context.
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Comparative Review of Clinical Trial Regulations in Different Countries: Current Scenario and Future Prospect
Authors: Mansi Sharma, Manan Grover, Shubham J. Suryavanshi, Navneet Sharma and Vikesh Kumar ShuklaAvailable online: 12 June 2025More LessIntroductionClinical trial regulations are essential for ensuring the safety, efficacy, and ethical conduct of drug development. However, the regulatory frameworks governing these trials vary significantly across different countries, affecting approval processes, trial conduct, and drug development timelines. By comparing clinical trial regulations and trial management practices, this study aims to identify regulatory challenges and propose improvements to enhance global harmonization.
MethodsThis review examines clinical trial regulations across the United States, European Union, Australia, and India, selected based on their diverse regulatory frameworks and global influence on clinical research. Literature screening was conducted using PubMed, Scopus, and official regulatory agency websites, focusing on publications from 2016 to 2024. Selection criteria included regulatory frameworks, amendments, ethical guidelines, and compliance measures related to clinical trials. The analysis covered key aspects such as trial approval timelines, safety reporting requirements, cost implications, and oversight mechanisms to identify regulatory challenges and potential improvements.
ResultsThe findings reveal that although the studied countries maintain strict regulatory frameworks, they still exhibit gaps and inconsistencies. For instance, variations in approval timelines, safety reporting standards, and oversight mechanisms create inefficiencies and delays in drug development. It notes the absence of specific regulations for Clinical Research Organizations (CROs) authorization and herbal medicine trials in most regions.
DiscussionTherefore, a key recommendation is to certify CROs to enhance the credibility of clinical trials. Additionally, specific regulations for herbal medicine trials are required to ensure safety and efficacy. Ethical concerns, particularly in pediatric and orphan drug research, demand more stringent oversight. The integration of blockchain technology is also proposed to improve accountability in drug development. Overall, promoting global regulatory harmonization is essential to minimize delays in patient access to essential therapies. These insights are intended to guide policymakers, researchers, and stakeholders in enhancing the quality, safety, and accessibility of medicines.
ConclusionThis review underscores the importance of consistent, transparent, and adaptable clinical trial regulations across global jurisdictions. While current frameworks demonstrate a commitment to ethical and scientific rigor, targeted reforms, such as CRO recognition, herbal trial regulation, and technology integration, are important for advancing clinical research. A harmonized regulatory landscape not only accelerates drug development but also ensures timely patient access to innovative and life-saving therapies.
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A Review of Software in Clinical Trials: FDA Regulatory Frameworks and Addressing Challenges
Authors: Simran Dixit, Deepti Sharma, Navneet Sharma and Vikesh Kumar ShuklaAvailable online: 29 May 2025More LessAn essential tool for assessing the efficacy and safety of novel therapies and interventions is the clinical trial. They are crucial for understanding disease causes, treatment effectiveness, and patient care processes. However, traditional clinical trials often suffer from inefficiencies, high costs, and extended timelines. This review explores how artificial intelligence can revolutionize clinical trials by addressing these inefficiencies in trial design, patient recruitment, and data analysis. It also discusses the challenges and solutions for incorporating AI within existing regulatory frameworks. This review is based on a comprehensive analysis of the existing literature on artificial intelligence applications in clinical trials. It includes an evaluation of studies that assess the role of artificial intelligence in enhancing trial efficiency, optimizing patient recruitment, and improving data analysis. Special attention is given to regulatory considerations, with a focus on Food and Drug Administration (FDA) guidelines and their impact on artificial intelligence integration in clinical research. The successful integration of artificial intelligence into clinical trials has the potential to optimize procedures, enhance clinical judgment, and improve patient outcomes. Artificial intelligence can streamline patient stratification, accelerate trial timelines, and enhance data analysis accuracy. However, overcoming challenges related to interpretability, data privacy, and regulatory compliance is crucial. Collaboration between researchers, artificial intelligence developers, and regulatory bodies is essential to establish guidelines ensuring artificial intelligence innovations are safe and effective. Ultimately, artificial intelligence could transform clinical research and pave the way for more personalized healthcare solutions.
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Polycystic Ovary Syndrome and Vitamin D Status - Impact of Vitamin D Supplementation on Insulin Resistance
Available online: 23 May 2025More LessIntroductionAmong premenopausal women, polycystic ovarian syndrome (PCOS) is one of the most ubiquitous endocrine and metabolic conditions. Abdominal adiposity, insulin resistance, obesity, metabolic diseases, and cardiovascular hazards are often associated with PCOS. This investigation aims to decipher the influence of oral Vitamin D3 supplementation (2000 IU/day for three months) on glucose metabolism in PCOS women.
Methods123 subjects (females 16 to 40 years of age) were arbitrarily allocated to three cohorts (n = 41 in each cohort) Each participant received two tablets daily and a sachet every month for three months (Group I: Vitamin D3 Tablets + placebo sachets; Group II: Placebo Tablets + Vitamin D3 sachets; Group III: Tablets + Placebo sachets).
ResultsAmong 123 PCOS subjects, 93.4% exhibited hypovitaminosis D. The baseline 25-hydroxyvitamin D (25(OH)D) concentration of 13.76 (SD ± 10.61) ng/ml increased by 86.84% post-intervention. Groups I and II (active group) depicted substantial diminution in pre-treatment fasting and 2-h blood glucose, with no substantial change in the HOMA-IR. Group III (placebo) showed no improvement in vitamin D status or HOMA-IR. Overall, we observed no substantial HOMA-IR improvement with vitamin D subjunction. However, subgroup analysis revealed a statistically significant enhancement in HOMA-IR for subjects achieving a two-fold upsurge in post-supplementation 25(OH)D levels (≥ 20 ng/ml) compared to those without this increase (p = 0.025).
DiscussionThe cohort’s mean blood 25-hydroxyvitamin D concentrations were successfully boosted by 84% by Vitamin D3 dosage; yet, the influence on insulin resistance markers displayed a subtle complexity. A relationship was found amid the absolute variation in HOMA-IR and the percentage variation in Vitamin D. Nevertheless, there was no substantial general alteration in the mean HOMA-IR across different subgroups.
ConclusionVitamin D3 supplementation improves glucose metabolism, as demonstrated by lower fasting and 2-hour blood glucose levels, but overall has no substantial repercussion on measures of insulin sensitivity like HOMA-IR. A larger vitamin D3 dose and an extended follow-up study are essential to comprehend the complex physiology of vitamin D and glucose homeostasis.
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The Role of Anti-MDA5 Antibodies in Rapidly Progressive Interstitial Lung Disease: A Case Report and Literature Review
Available online: 13 May 2025More LessIntroductionAnti-melanoma Differentiation-associated Gene 5 (aMDA5) antibody-associated Rapidly Progressive Interstitial Lung Disease (RP-ILD) is a rare and potentially fatal condition.
MethodsThis case report describes a 78-year-old male who presented with a 10-day history of fever, cough, and asthenia.
ResultsDespite initial treatment for suspected atypical pneumonia, the clinical condition of the patient rapidly deteriorated, necessitating intensive care and mechanical ventilation. High-resolution CT scans revealed a progressive interstitial lung disease with pneumomediastinum. Autoimmunity blood tests revealed high-titer anti-MDA5 antibodies, leading to a diagnosis of anti-MDA5 RP-ILD. Despite aggressive immunosuppressive therapy, the patient's condition continued to worsen, resulting in death.
DiscussionOur case underlines the importance of early recognition and diagnosis of anti-MDA5 RP-ILD, as it can present without typical dermatomyositis skin manifestations. The report also includes a comprehensive literature review covering the pathogenesis, clinical manifestations, diagnosis, and treatment options for anti-MDA5-associated disease.
ConclusionThis case underscores the need for increased awareness of this condition among clinicians to improve early diagnosis and treatment outcomes.
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A Prospective Study on the Role of Strain Echocardiography in Detecting Early Radiation-induced Cardiotoxicity in Left-sided Breast Cancer Patients
Available online: 08 May 2025More LessIntroductionRadiotherapy for breast cancer has a clear benefit for long-term survival and local control rate. However, it can negatively impact a patient’s quality of life by affecting healthy surrounding normal tissues, including the heart and lungs. This study aimed to clarify the contribution of echocardiography with Global Longitudinal Strain (GLS) to early radiation-induced cardiotoxicity detection.
MethodsA prospective study was conducted on 25 early-stage left-sided breast cancer patients. All underwent 2D strain echocardiography before and one year after RT. Normality was assessed using the Shapiro-Wilk test and box plots. The Wilcoxon signed-rank test was conducted to compare GLS values. A statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) version 25.
ResultsMean Global Longitudinal Strain value before and one year after radiotherapy was -20.2% and -21.2%, respectively. In half of these cases, the values ranged from -19.65% to -22.70% before radiotherapy and between -18.8% and -22.25% after radiotherapy. The non-parametric Wilcoxon test indicated no statistically significant difference before and after radiotherapy (Ζ = 0.902, p = 0.367).
DiscussionAlthough no statistically significant reduction in GLS was observed one year post-radiotherapy, a decrease was noted in patients receiving higher cardiac doses, suggesting potential early subclinical myocardial changes. Strain echocardiography shows promise as a sensitive tool for the early detection of radiation-induced cardiotoxicity, warranting further research with larger cohorts and extended follow-up.
ConclusionWhile this small cohort study did not show significant GLS changes post-RT, it highlights the need for larger studies with longer follow-ups to confirm the role of strain imaging in identifying early cardiotoxicity in breast cancer patients.
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The Quality of Methodological Reporting of Randomised Controlled Trial (RCT) Articles Published in Iranian and Top Nursing and Midwifery Journals Indexed in the Scopus Database using the CONSORT Checklist: A Cross-sectional Study
Authors: Razieh Bagherzadeh, Siavash Asadzadeh Jahanabad and Leila DehghaniAvailable online: 07 May 2025More LessIntroductionThe quality of methodological reporting in randomized controlled trials (RCTs) is crucial for guiding healthcare decisions. This study compares the methodological reporting of RCT articles published in Iranian nursing and midwifery journals indexed in Scopus with those published in international nursing and midwifery journals also indexed in Scopus.
MethodsThis comparative cross-sectional study reviewed RCT articles from eight Iranian Scopus-indexed journals (381 articles) and three journals with the highest CiteScore index (204 articles) from 2017 to 2021. Data were collected using the methodology section of the CONSORT checklist. SPSS 19 software was used for data analysis.
ResultsThe average percentages of methodological reporting in the top three Iranian journals were 76.4% and 84.4%. The mean quality score of methodological reporting in Iranian nursing and midwifery journals was significantly lower than that in international journals published from 2017-2021 (P <0.001). Underreporting was observed in both groups, particularly regarding randomization and blinding.
DiscussionOur findings align with previous studies indicating that adherence to reporting standards, such as CONSORT guidelines, is more common in higher-impact journals. Deficiencies in reporting elements, such as randomization and blinding, undermine confidence in study results.
ConclusionThe average quality of methodological reporting in Iranian journals is lower than that in the top three Scopus-indexed journals. Journals with lower reporting quality, like Iranian journals, can enhance article quality by adhering to reporting guidelines for all article types, including RCTs.
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Wound Healing Complications after Neoadjuvant Radiotherapy Combined with Targeted Therapies in Soft Tissue Sarcoma Patients
Authors: Nikolaos S Georgopoulos, Maria Tolia, Annita Boulouta, Anastasios Kyriazoglou, Vasileios Patriarcheas, Evangelos Dimakakos, Dimitrios Schizas, Davide Mauri, Nikolaos Tsoukalas, Nikolaos Charalampakis, Ramon Andrade De Mello, Chrysostomos Antoniadis, Eelco de Bree, Dimosthenis Michelakis, Konstantinos Tsapakidis, Michalis Mazonakis, Pantelis Kountourakis, Ioanna Nixon, Dimitrios Mavroudis and Areti GkantaifiAvailable online: 07 May 2025More LessIntroduction/ObjectiveSignificant advancements have been achieved with the use of targeted molecular therapies for the treatment of Soft Tissue Sarcomas (STS). However, data remain scarce about the potential benefits and toxicity of this therapeutic option. In this narrative review, we aim to better clarify the potential wound healing complications in STS patients undergoing neoadjuvant (NA) radiotherapy (RT) combined with targeted therapies.
MethodsWe used the PubMed database to retrieve journal articles, and the inclusion criteria were all studies that illustrated the potential RT toxicity, combined with targeted therapies, in the NA setting of STS patients.
ResultsOur search resulted in seven studies that fulfilled the inclusion criteria. Delayed wound complication rates were observed similarly to RT alone, while one study reported intolerable toxicity without referring specifically to wound complications.
ConclusionThe combination of RT with targeted therapies in STS seems to be effective and well tolerated. Due to the lack of studies with a high level of evidence, further research is required to enhance the existing knowledge for its potential value in this field.
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Colorectal Cancer Screening Modalities Among Saudi Population: Significant Predictors
Available online: 05 May 2025More LessIntroductionUnderstanding the public perception of colorectal cancer screening is crucial since early diagnosis lowers mortality rates associated with this type of cancer.
MethodsThe purpose of this study was to determine the most popular technique for colorectal cancer screening in Saudi Arabia. From September 2021 to February 2022, a cross-sectional study on adult Saudi population was undertaken. Data were collected through a self-created survey distributed via an online platform.
ResultsOut of 10,781 participants analyzed, 5,612 were found suitable for evaluating preferences between colonoscopy and fecal immunochemical test (FIT) as screening modalities. It was found that gender, employment, and age were important predictors for the preferred screening modality.
DiscussionThe patient’s perspective on screening modalities is crucial to consider in national colorectal cancer screening programs. The future outlook for home-based fecal immunochemical Tests (FIT) may provide superior research regarding cost-effectiveness and adherence among patients compared to colonoscopy or medical facilities in FIT investigations.
ConclusionMore attention should be paid to the population’s preferred method of colorectal cancer screening, which could increase the success of the screening effort. Cultural and socioeconomic status might affect the generalizability of the study.
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Transformative Paths: Preclinical Drug Formulation and Delivery
Approaches in DevelopmentAuthors: Deepshi Arora, Anjali Sharma, Prabhjot Kaur, Vishnu Mittal, Moin, Yugam Taneja and Devkant SharmaAvailable online: 25 April 2025More LessThis comprehensive review explores the multifaceted landscape of preclinical drug development, encompassing crucial stages, regulatory intricacies, Investigational New Drug (IND) submissions, and innovative formulation strategies. Delving into preclinical studies, the review underscores the importance of pharmacokinetics, pharmacodynamics, and safety assessments in animal models. Regulatory requirements governing preclinical studies are dissected, emphasizing compliance with global health authorities. The article provides a detailed examination of the IND submission process, elucidating essential components and documentation required for regulatory approval that are pivotal for advancing to clinical trials. Additionally, the evolving realm of Preformulation strategies is scrutinized, highlighting new methods like nanotechnology, solid dispersions, and formulas based on cyclodextrin to enhance drug solubility, stability, and bioavailability. This comprehensive overview aims to guide researchers, pharmaceutical professionals, and regulatory specialists through the complexities of preclinical development, offering insights into the latest formulation advancements from a legal point of view, making it be easy for potential drugs to go from lab to patient's bedside.
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COVID-19 Vaccinations: Summary Guidance for Cancer Patients in 28 Languages: Breaking Barriers to Cancer Patient Information
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Deep Neck Infections: Decisional Algorithm for Patients with Multiple Spaces Involvement
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