[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"markers-of-inflammation\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:markers-of-inflammation":32},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,56],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":17,"sex":18,"minAge":19,"maxAge":20,"enrollmentInfo":21,"targetDuration":24,"studyType":25,"phases":4,"briefSummary":26,"conditions":27,"keywords":35,"overallStatus":43,"whyStopped":4,"lastUpdateSubmitDate":44,"lastUpdatePostDateStruct":45,"startDateStruct":48,"completionDateStruct":50,"leadSponsor":52,"locationsCount":55},"100634596","health-and-nutritional-outcomes-among-young-females-and-children-in-southwest-bangladesh-100634596",false,"NCT07541742","Health and Nutritional Outcomes Among Young Females and Children in Southwest Bangladesh","Health and Nutritional Outcomes Among Young Females and Children in Southwest Bangladesh: A Cohort Study","AQUAFOOD","Inclusion Criteria:\n\n* Young women aged 22-27 years who previously participated in the 2017 study. See study description.\n* If the women has a child age between 6 months to 5 years, the child child is included to be assessed\n\nExclusion Criteria:\n\n* Participants with serious health conditions that may interfere with study procedures or data collection.",true,"ALL","5 Months","27 Years",{"count":22,"type":23},240,"ESTIMATED","2 Years","OBSERVATIONAL","This study aims to examine how societal and climate changes influence the nutritional status and fish consumption of young women over a 10 year period in southern Bangladesh, and how these factors affect their children's health. A cohort of 240 adolescents first studied in 2017 will be followed to assess changes in their dietary patterns, nutritional status, climate perceptions and mitigation practices, as well as the nutritional status of their children aged 6 months to 5 years.\n\nThe study in 2017 sampled 60 adolescent girls in each of four rural communities, plus a semi-rural community around a fish processing plant, representing in total 5 communities. Of these 60 X 5 = 300 girls, the current study follows up the individuals in the rural communities representing a cohort of 240.\n\nBangladesh faces high rates of adolescent malnutrition, with many girls married before 18 and suffering from chronic nutrient deficiencies. These issues have long-term impacts on health, productivity, and intergenerational well-being. By linking the fisheries and aquaculture sector, a key to Bangladesh's economy with public health and nutrition, this research aims to guide targeted policies for vulnerable coastal communities.",[28,29,30,31,32,33,34],"Nutritional Status","Micronutrient Status","Omega 3 Fat Status","Diet Diversity","Markers of Inflammation","Climate Adaptation","Climate Change Awareness",[36,37,38,39,40,41,42],"Aquatic foods","adolescent nutrition","fish intake assessment","dietary biomarkers","climate adaptation","intergenerational nutrition","Bangladesh","NOT_YET_RECRUITING","2026-04-30",{"date":46,"type":47},"2026-05-06","ACTUAL",{"date":49,"type":23},"2026-04-15",{"date":51,"type":23},"2026-12-10",{"name":53,"class":54},"University of Copenhagen","OTHER",1,{"id":57,"slug":58,"hasResults":11,"nctId":59,"briefTitle":60,"officialTitle":61,"acronym":4,"eligibilityCriteria":62,"healthyVolunteers":11,"sex":18,"minAge":63,"maxAge":64,"enrollmentInfo":65,"targetDuration":4,"studyType":25,"phases":4,"briefSummary":67,"conditions":68,"keywords":70,"overallStatus":76,"whyStopped":4,"lastUpdateSubmitDate":77,"lastUpdatePostDateStruct":78,"startDateStruct":80,"completionDateStruct":82,"leadSponsor":84,"locationsCount":55},"100597382","predictive-value-of-crp-albumin-car-and-mgps-in-treatment-outcomes-of-dlbcl-100597382","NCT07057765","Predictive Value of CRP, Albumin, CAR, and mGPS in Treatment Outcomes of DLBCL","Predictive Value of CRP, Albumin, CAR, and mGPS in DLBCL: A Prospective Cohort Study on Treatment Outcomes and Toxicity","Inclusion Criteria:\n\n* Age ≥ 18 years and ≤ 65 years\n* Pathologically confirmed, treatment-naïve diffuse large B-cell lymphoma (DLBCL)\n* Any stage of disease (nodal or extra-nodal), with or without B symptoms\n* Scheduled to receive standard systemic treatment (R-CHOP)\n* ECOG performance status 0-2\n* Baseline normal:\n* Complete blood count (CBC)\n* Hepatitis viral markers\n* Liver and renal function tests\n* Urine analysis\n* Echocardiogram\n* Additional investigations to exclude current infection if clinically indicated\n\nExclusion Criteria:\n\n* History of other concurrent or previous malignancies\n* Relapsed or refractory DLBCL\n* Uncontrolled comorbid conditions that may interfere with study participation, including:\n* Diabetes mellitus\n* Autoimmune diseases\n* Active infections\n* Chronic inflammatory diseases\n* Cardiac dysfunction\n* Liver cell failure\n* Pregnant females","18 Years","65 Years",{"count":66,"type":23},40,"This observational study evaluates the predictive value of systemic inflammatory markers-CRP, albumin, CRP-to-albumin ratio (CAR), and modified Glasgow Prognostic Score (mGPS)-in patients with diffuse large B-cell lymphoma (DLBCL) receiving R-CHOP chemotherapy. The study examines associations with treatment response, toxicity, and clinical characteristics.",[69,32],"DLBCL - Diffuse Large B Cell Lymphoma",[71,72,73,74,75],"DLBCL","CRP To Albumin Ratio","CAR","modified Glassgow Prognostic Score","mGPS","RECRUITING","2025-07-06",{"date":79,"type":47},"2025-07-10",{"date":81,"type":47},"2025-05-05",{"date":83,"type":23},"2026-08",{"name":85,"class":54},"Ain Shams University"]