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45 articles for “Survival Outcome”
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Assessing the impact of lifestyle factors on autoimmune risk and survival outcomes: A Population-based Study
Abstract: This study investigated the interplay between lifestyle factors and genetic regulation in autoimmune diseases, focusing on the role of human T-cell metabolic and proliferative control through C-REL gene transcription. This study combined CRISPR-Cas9 manipulation of C-REL in human T-cells with a longitudinal cohort of 100 adults (autoimmune patients and controls), investigating metabolic and proliferation dynamics via flow cytometry and assays. It assessed lifestyle impacts through surveys and medical records, ensuring …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article
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A Review on Corticosteroids: A Controversial Role in COVID-19
Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the known causative agent of coronavirus disease 2019 (COVID-19) which emerged first in Wuhan Province of China has caused catastrophic health, social, and economic crisis worldwide. Several drug therapies were used with corticosteroids being one of them, believing to exert an effect in controlling the ARDS. Use of corticosteroids in patients with COVID-19 is common in clinical practice, but the efficacy and role …
Published in Research and Reviews: A Journal of Health Professions · Vol. 12, Issue 2, 2022 · pp. 11–16 Read article
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Acute Myeloid Leukemia in Children: An Overview
Abstract: Acute myeloid leukaemia (AML) means when the body makes too many immature blood cells. These cells, called myeloid blasts, can't mature into normal white blood cells. In India, Cancer is the leading cause of mortality among children aged 5 to 14, with roughly 45,000 youngsters diagnosed each year. About 20% of children with leukaemia have this type of cancer. AML develops and gets worse quickly, so early diagnosis is important. …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 11, Issue 1, 2022 · pp. 28–35 Read article
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A Study to Assess the Risk Factors Associated with Sudden Death in Population on Hemodialysis
Abstract: Background: Patients with chronic kidney disease (CKD) receiving maintenance hemodialysis (HD) experience disproportionately high mortality, with sudden death remaining a leading cause. Multiple clinical, biochemical, and care-related factors influence outcomes, yet comprehensive risk stratification models and the role of dialysis timing and early nephrology care remain inadequately explored in resource-limited settings. Objectives: This study aimed to (i) identify clinical and biochemical risk factors associated with mortality in HD patients, (ii) …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 14–19 Read article
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STRUCTURAL–EPIGENOMIC ATLAS: CNV/SV- DRIVEN PROGNOSTIC REFINEMENT ACROSS CANCERS
Abstract: Structural genomic alterations, including copy number variations (CNVs) and structural variants (SVs), play a central role in cancer initiation and progression. These alterations extend beyond gene dosage effects and interact dynamically with epigenomic mechanisms such as DNA methylation, histone modifications, and three-dimensional chromatin organization. Recent pan-cancer studies have demonstrated that CNV burden and SV signatures reflect key oncogenic processes including chromothripsis, homologous recombination deficiency, enhancer hijacking, and extrachromosomal DNA (ecDNA) …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Utility of Abbreviated Burn Scoring Index in Predicting Mortality in Burn Patients – Our Experience
Abstract: The prediction of the outcome of patients presenting with severe burns is crucial in guiding clinical judgments. There are multiple models for predicting burn mortality that have been developed over a period of time. Advancements in burn management over the past few decades have led to a remarkable reduction in burn-related morbidity and mortality worldwide. Improvements in critical care, fluid resuscitation protocols, infection control measures, nutritional support, early wound excision …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 2, 2026 · pp. 49–53 Read article
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Toxicological Profiling and Safety Assessment of NASAT 2.0: A Conceptual Framework for Adaptive Nanoparticle Therapy in Rabies
Abstract: Rabies, caused by the highly neurotropic Rabies lyssavirus, remains one of the most enigmatic and universally lethal infectious diseases known to modern medicine. Once clinical symptoms manifest following successful neuroinvasion, the fatality rate approaches absolute certainty (approximately 99.9%), a staggering statistic that has remained largely unchallenged despite massive, concurrent advances in modern virology, critical care medicine, and cellular immunology. Current late-stage therapeutic protocols, most notably the widely debated Milwaukee Protocol, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 · pp. 1–19 Read article
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Non-Small Cell Lung Cancer: Types, Pathogenesis, Diagnosis, and Novel Therapeutic Strategies
Abstract: Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer, accounting for over 85% of all cases globally. It remains one of the primary causes of cancer-related death due to its rapid progression, few early symptoms, and late detection. The three main forms of non-small cell lung cancer (NSCLC) are adenocarcinoma, squamous cell carcinoma, and giant cell carcinoma; each has a unique histology, prognosis, and response to …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 · pp. 07–22 Read article
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Early Heart Failure Recognition for Infants Using Machine Learning
Abstract: The care of newborn infants remains a significant responsibility for healthcare professionals, as ensuring infant survival can often be complex and demanding. Conditions such as heart failure and cardiac arrest in infants are life-threatening and require prompt diagnosis and treatment. Detecting cardiac problems at an early stage can greatly enhance survival outcomes and minimize serious complications. In recent years, machine learning (ML) approaches have become valuable tools for predicting cardiovascular …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Ewing’s Sarcoma (ES): A Single Centre Retrospective Study
Abstract: The treatment of Ewing’s sarcoma (ES), which is thought to be derived from primitive mesenchymal cells, involves chemotherapy, surgery and radiotherapy. While there is ample data in the world literature showing drastic changes in outcome of this disease, prognosis in Indian patients is largely unknown due to dearth of studies in our setting. The objective of the present study was to study the clinical, pathologic, cytogenetic profile and outcome of …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 2, Issue 2, 2013 · pp. 1–7 Read article
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Revolutionizing oncology - role of artificial intelligence in early cancer detection and diagnostic advances-A comprehensive review
Abstract: Oncology has experienced a remarkable transformation with the adoption of artificial intelligence (AI), which has greatly enhanced cancer detection and diagnosis. As one of the leading causes of death worldwide, cancer highlights the importance of early detection in improving patient outcomes and survival rates. AI’s ability to analyze vast and complex datasets has enabled groundbreaking innovations in imaging, pathology, biomarker discovery, and predictive analytics. This review highlights key AI-driven advancements …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 18–22 Read article
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A Review on Lung Cancer Prediction Using Machine Learning
Abstract: Lung cancer continues to be a major contributor to cancer-related mortality across the globe. Timely diagnosis and reliable prediction models play a crucial role in enhancing treatment outcomes and survival rates for patients. The present study focuses on the utilization of machine learning (ML) methods for the prediction of lung cancer. Using datasets that incorporate clinical records, imaging modalities, and genetic profiles, the research assesses the predictive capabilities of multiple …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–11 Read article
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The Role of Gut Microbiota in the Health Effects of Fermented Dairy Products
Abstract: The human gut microbiota plays a crucial role in maintaining physiological health, influencing digestion, metabolism, immune function, and even mental well-being. Among dietary interventions aimed at modulating gut microbiota, fermented dairy products have emerged as particularly promising due to their rich content of live microorganisms, bioactive compounds, and nutrients. This review explores the intricate interactions between fermented dairy products and the gut microbiota, highlighting their potential health benefits and underlying …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 5–10 Read article
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Development of a Machine Learning and Artificial Intelligence Based Model Aimed at Forecasting the Prognostic Impact of C-Reactive Protein in Myocarditis
Abstract: The specific role of inflammation markers in myocarditis remains uncertain. We investigated the diagnostic and prognostic significance of C-reactive protein (CRP) levels at the initial diagnosis among myocarditis patients. Our retrospective study enrolled patients clinically suspected (CS) or biopsy-proven (BP) with myocarditis, with available CRP data at diagnosis. We collected patient information, including clinical, laboratory, and imaging findings at diagnosis and follow-up visits. We utilized machine learning methods, specifically random …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 12–24 Read article
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Focusing on Different Therapeutic Approaches in People with Stroke Rehabilitation: A Scoping Review of Literature
Abstract: Background: Stroke is one of the main sources of death and incapacity in both the developing and developed countries of the world. Stroke recovery is a sorted-out undertaking to help patients to boost all open doors for coming back to a dynamic way of life. There are several physiotherapy approaches for the stroke rehabilitation. Some physiotherapist’s treatment based on a single approach, whereas some used a mixture of components from …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 1, 2018 · pp. 21–27 Read article
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A Review Study on Dynamic Analysis of Multistoreyed Buildings by using Seismostruct Software
Abstract: Civil Engineering structures are designed to withstand environmental forces like earthquake, along with gravity loads. These forces are random and dynamic in nature. Therefore the response of the structure is also dynamic and that is what causes the unsafe and uncomfortable conditions. So, performance based analysis of the structure is required which can be achieved by Incremental Dynamic Analysis (IDA) as well as Response Spectrum analysis (RSA). But, Incremental dynamic …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 2, 2018 · pp. 53–63 Read article
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Identification of Incidence and Outcome of Diffuse-Axonal Injuries
Abstract: Background: Diffuse axonal injury (DAI), a specific type of traumatic brain injury, may be caused by shearing forces leading to widespread tearing of axons and small vessels. This study is designed to identify the incidence, risk factors, mortality and analyze outcome in DAI. Method: 120 patients with DAI were recorded in the duration of 2 years. DAI was confirmed by signs of injury identified in radiology imaging. Patients underwent surgery, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 2, 2018 · pp. 18–22 Read article
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Prediction of Resectability and Surgical Outcome of Periampullary Tumors
Abstract: Background: Pancreatic cancer is a devastating malignancy with nearly as many deaths as newly diagnosed cases each year with 5-years overall survival rate approximately 7%. Our aim was to assess prediction of respectability of patients with periampullary tumors to avoid unnecessary laparotomy in inoperable patients and evaluation of early outcome of surgical intervention. Methods: 23 patients were included in this study. All the patients were subjected to assessment by contrast …
Published in Research and Reviews : Journal of Surgery · Vol. 7, Issue 1, 2018 · pp. 14–21 Read article
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Advances in Total Knee Replacement: A Systematic Review of Clinical Outcomes and Complications
Abstract: Total Knee Replacement (TKR) is a widely used surgical intervention for patients with knee osteoarthritis and other degenerative knee disorders, offering significant improvements in pain relief, functional restoration, and quality of life. This systematic review synthesizes data from multiple clinical studies to evaluate the outcomes and complications associated with TKR. To find applicable research published in the last ten years, a thorough search of electronic databases was performed. Randomised controlled …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 41–56 Read article
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Utilizing circulation-derived cancer cells to evaluate patients with surgically treated stages I–IIIA NSCLC throughout the preoperative phase
Abstract: Context: When a tumor is considered resectable, surgery is viewed as the primary treatment approach for both early-stage and locally advanced non-small cell lung cancer (NSCLC). One of the most exciting areas of cancer research in the past ten years is liquid biopsy, which offers a practical non-invasive method for cancer detection and tracking. Circulating tumor cells (CTCs) have been linked to a worse prognosis and increased chance of relapse …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 3, 2024 · pp. 17–28 Read article