[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"comorbidity\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:comorbidity":26},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,5,0,[8,44,76,111,146],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":23,"conditions":24,"keywords":28,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":32,"lastUpdatePostDateStruct":33,"startDateStruct":36,"completionDateStruct":38,"leadSponsor":40,"locationsCount":43},"100454949","impact-of-comorbidities-after-radical-cystectomy-using-a-predictive-method-with-artificial-intelligence-100454949",false,"NCT05204186","Impact of COMORBIDities After Radical Cystectomy Using a Predictive Method With Artificial Intelligence","Evaluation of the Impact of COMORBIDities on Morbidity and Mortality After Radical Cystectomy for Cancer Using a Predictive Method With Artificial Intelligence","COMORBID-AI","Inclusion Criteria:\n\n* 18 years and older\n* Patient treated by radical cystectomy for bladder cancer\n\nExclusion Criteria:\n\n* Computed tomography\u002Fmagnetic resonance evidence of distant metastases.","ALL","18 Years",{"count":20,"type":21},500,"ESTIMATED","OBSERVATIONAL","Clinician and the multidisciplinary team meeting in oncologic urology (MMO) play a key-role in the decision making. An unexplained surgeon attributable variance, probably linked to the subjective \"eyeball test\" effect, was identified as a strongest factor underlying non-compliance with guide line recommendations in the management of bladder cancer. So high-quality studies that identify barriers and modulators (such as comorbidities) of provider-level adoption of guidelines and how comorbidities are associated in making therapeutic choice and their impact in bladder cancer specific survival and overall survival, are crucial. To identify patients at high risk of early death, and to improve specific guideline for treatment might be decisive.\n\nIn order to assess survival, where mortality events compete, it will be more appropriate to compute a Cumulative Incidence Function (namely CIF). The investigators will compare outcomes across patient populations to obtain information to improve clinical decision-making. Such learning will be done through the use of neural networks or by applying population-based approaches, such as Genetic Algorithms (GA), Ant Colony Systems (ACS) and Particle Swarm Optimization (PSO), using as a four-stage based approach.\n\nFirst, the investigators propose a \"pretopology space\" in order to study a dynamic phenomenon. Second, the investigators recall that the K-means approach remains one of the most used approaches for classifying a set of elements (patients \u002F persons \u002F others) into K (disjunctive) clusters. Third, the investigators propose a learning pretopology space for enhancing the clustering. Such an approach can be assimilated in spirit to one applied with high success on deep learning. Fourth and last, the investigators propose a reactive method that is able to include some new elements or remove some contained elements",[25,26,27],"Bladder Cancer","Comorbidity","Deep Learning",[25,26,29,30],"Deep learning","PSO-Particle swarm optimization","RECRUITING","2026-06-12",{"date":34,"type":35},"2026-06-15","ACTUAL",{"date":37,"type":35},"2021-08-12",{"date":39,"type":21},"2028-12",{"name":41,"class":42},"Centre Hospitalier Universitaire, Amiens","OTHER",1,{"id":45,"slug":46,"hasResults":11,"nctId":47,"briefTitle":48,"officialTitle":48,"acronym":4,"eligibilityCriteria":49,"healthyVolunteers":50,"sex":17,"minAge":51,"maxAge":52,"enrollmentInfo":53,"targetDuration":4,"studyType":55,"phases":56,"briefSummary":58,"conditions":59,"keywords":4,"overallStatus":66,"whyStopped":4,"lastUpdateSubmitDate":67,"lastUpdatePostDateStruct":68,"startDateStruct":70,"completionDateStruct":72,"leadSponsor":74,"locationsCount":4},"100611216","a-study-on-the-effectiveness-of-comprehensive-intervention-based-on-specialized-physical-education-courses-in-the-prevention-of-comorbidity-among-junior-middle-school-students-100611216","NCT07237698","A Study on the Effectiveness of Comprehensive Intervention Based on Specialized Physical Education Courses in the Prevention of Comorbidity Among Junior Middle School Students","Inclusion Criteria:\n\n* Individuals who voluntarily participate in this study and whose parents or guardians voluntarily sign the informed consent form.\n* Individuals capable of cooperating to complete measurements of all indicators throughout the entire intervention cycle.\n\nExclusion Criteria:\n\n* Individuals with eye conditions such as glaucoma, strabismus, or anisometropia.\n* Wearers of orthokeratology lenses.\n* Individuals who have undergone refractive surgery.\n* Individuals who have taken weight-loss medications or undergone weight-loss surgery.\n* Individuals with obesity caused by endocrine disorders or medication side effects.\n* Individuals with mental health disorders.\n* Individuals currently taking medications for mental health disorders.",true,"11 Years","14 Years",{"count":54,"type":21},200,"INTERVENTIONAL",[57],"NA","Junior high school students are in a critical period of physical and mental development, currently facing two major health challenges: first, persistently high rates of myopia with a noticeable trend toward younger onset; second, the overlapping occurrence of common conditions such as overweight\u002Fobesity, spinal deformities, and psychological anxiety.Traditional physical education classes, characterized by limited content and insufficient targeting, struggle to address these issues. Multimorbidity of common diseases in children and adolescents refers to the coexistence of two or more common diseases or chronic health problems in the same individual.\n\nTherefore, this study innovatively designed a specialized physical education curriculum integrating \"exercise + health education,\" aiming to fill the gap in comprehensive prevention and control of common adolescent health conditions through traditional physical interventions.\n\nThis study systematically investigated the effects of a specialized physical education intervention program on myopia prevention and control, as well as the simultaneous prevention of multiple common health conditions (overweight\u002Fobesity, abnormal blood pressure, insufficient cardiorespiratory fitness, abnormal spinal curvature, anxiety symptoms, and depression symptoms) among junior high school students in China. The program was designed and implemented for students at a Chinese secondary school, ultimately aiming to provide a replicable school-based physical education intervention model for adolescent health promotion. The study strictly adhered to a randomized controlled design, employing multidimensional evaluation, long-term follow-up, and rigorous quality control to ensure scientific validity and reliability of the findings.",[60,26,61,62,63,64,65],"Multimorbidity","Common Diseases in Children and Adolescents","Myopia","Anxiety Symptoms","Depressive Symptoms","Overweight , Obesity","NOT_YET_RECRUITING","2025-11-18",{"date":69,"type":35},"2025-11-20",{"date":71,"type":21},"2025-11-15",{"date":73,"type":21},"2026-09",{"name":75,"class":42},"Xiaoyan Wu",{"id":77,"slug":78,"hasResults":11,"nctId":79,"briefTitle":80,"officialTitle":81,"acronym":82,"eligibilityCriteria":83,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":84,"targetDuration":4,"studyType":55,"phases":86,"briefSummary":87,"conditions":88,"keywords":92,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":102,"lastUpdatePostDateStruct":103,"startDateStruct":105,"completionDateStruct":107,"leadSponsor":109,"locationsCount":43},"100590547","project-comet-massed-prolonged-exposure-for-ptsd-and-sud-100590547","NCT06968832","Project COMET: Massed Prolonged Exposure for PTSD and SUD","Project COMET: Hybrid Effectiveness-Implementation Trial of Massed PTSD Treatment in a Community Substance Use Program","PROJECT COMET","Inclusion Criteria:\n\n* Age 18+\n* Enrolled in SUD treatment at Gateway Community Services\n* Meet DSM-5 criteria for a SUD (Tobacco Use Disorder alone not sufficient for inclusion)\n* Meet DSM-5 criteria for PTSD\n* Able to give informed consent\n\nExclusion Criteria:\n\n* severe cognitive impairment\n* current suicidal or homicidal intent requiring immediate treatment\n* current unstable psychotic or manic symptoms not attributable to SUD",{"count":85,"type":21},168,[57],"The goal of this clinical trial is to learn if Massed Prolonged Exposure Therapy (M-PE) can improve PTSD symptoms and reduce substance use in adults receiving intensive outpatient (IOP) treatment for substance use disorder (SUD). The main questions it aims to answer are:\n\n* Does M-PE reduce PTSD symptoms more effectively than trauma treatment as usual (TAU)?\n* Does M-PE reduce the number of days participants use substances?\n* How do patient-centered outcomes (such as depression, suicidal thoughts, and quality of life) differ between M-PE and trauma TAU?\n* Researchers will compare M-PE to treatment as usual to see if M-PE leads to better mental health and substance use outcomes and lower dropout rates.\n\nParticipants will:\n\n* Attend multiple therapy sessions per week (M-PE) or receive usual care\n* Complete assessments at baseline, during treatment, end-of-treatment, 1-month, 3-month, and 6-month follow-up\n* Share feedback through surveys and interviews about their experience in the program",[89,90,26,91],"Posttraumatic Stress Disorder (PTSD)","Substance Use Disorders (SUD)","Trauma and Stressor Related Disorders",[89,93,94,95,96,97,98,99,100,101],"Substance Use Disorder (SUD)","PTSD\u002FSUD Comorbidity","Prolonged Exposure Therapy (PE)","Massed Prolonged Exposure (M-PE)","Randomized Clinical Trial (RCT)","Treatment as Usual (TAU)","Integrated PTSD and SUD Treatment","Implementation Science","Trauma-Focused Treatment","2025-10-23",{"date":104,"type":35},"2025-10-27",{"date":106,"type":35},"2025-09-02",{"date":108,"type":21},"2029-06-30",{"name":110,"class":42},"Rutgers, The State University of New Jersey",{"id":112,"slug":113,"hasResults":11,"nctId":114,"briefTitle":115,"officialTitle":116,"acronym":117,"eligibilityCriteria":118,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":119,"enrollmentInfo":120,"targetDuration":4,"studyType":55,"phases":122,"briefSummary":123,"conditions":124,"keywords":130,"overallStatus":31,"whyStopped":4,"lastUpdateSubmitDate":137,"lastUpdatePostDateStruct":138,"startDateStruct":140,"completionDateStruct":142,"leadSponsor":144,"locationsCount":43},"100483704","association-of-a-digital-signature-of-physical-activity-and-sedentary-lifestyle-with-the-development-of-multimorbidities-in-chronic-diseases-emob-100483704","NCT05578495","Association of a Digital Signature of Physical Activity and Sedentary Lifestyle With the Development of Multimorbidities in Chronic Diseases (eMOB)","Association of a Digital Signature of Physical Activity and Sedentary Lifestyle With the Development of Multimorbidities Over 4 Years of Follow-up in Chronic Diseases (eMOB) : a Prospective Cohort","eMOB","Inclusion Criteria:\n\n* Patient follow-up at CHU Clermont-Ferrand for a chronic disease in one of the following observational cohorts:\n\n  * Inflammatory rheumatic disease(rheumatoid arthritis, spondyloarthritis) included in the RCVRIC cohort (CPP Sud-Est VI N° ID-RCB- A01847-40)\n  * Pre-surgical knee and hip osteoarthritis (Evalmob) (ID-RCB N° 2019- A01017-50)\n  * Major depressive disorder included in the FACE-DR cohort (CNIL agreement: DR- 2015-673) and Bipolar disorder included in the FACE-BD cohort (CPP Ile de France IX; January 18, 2010) of the Adult Psychiatry Department B\n  * Type 2 diabetes included in the cohort of the sport medicine service \"Rehabilitation T2\" (CNIL agreement 0164)\n  * Obesity included in the \"Obesity\" sports medicine service cohort (CNIL agreement 0164)\n  * COPD included in the \"COPD Rehabilitation\" sports medicine service cohort (CNIL agreement 0164)\n  * Chronic pain cohort (eDOL) (CPP West II N° ID-RCB 2020-A02027-32)\n* Affiliation to a social security system.\n* Able to provide written informed consent to participate in the research.\n\nExclusion Criteria:\n\n* Inability to practice physical activity\n* Pregnant or breastfeeding\n* Refusal to participate\n* Minors or adults under the protection of the law or under the protection of justice.","90 Years",{"count":121,"type":21},700,[57],"Physical activity (PA) and sedentary lifestyle are determinants in the development of chronic diseases and associated quality of life alterations. PA levels are correlated with quality of life and morbidity in chronic lung disease (COPD), cardiovascular disease, diabetes, cancer, chronic inflammatory rheumatism, fibromyalgia and anxiety disorders. In these diseases, low-intensity PA often represents the main PA and the quantity of PA is correlated with health parameters.\n\nThis study aims to identify a typical profile (signature) in relation to the appearance of other chronic diseases, complications of your disease, from recording your physical activity and sedentary lifestyle by sensors evaluating very precisely the movements and taking into account the characteristics and disability related to your disease. The results of this study would therefore make it possible to identify this signature even before the appearance of complications or other diseases.",[125,126,127,128,26,60,129],"Exercise","Sedentary Behavior","Non Communicable Diseases","Comorbidities and Coexisting Conditions","Digital Technology",[131,132,133,134,60,135,136],"Physical Activity","Sedentary Lifestyle","Chronic Diseases","Comorbidities","Personal digital health","Personalized medecine","2025-09-19",{"date":139,"type":35},"2025-09-24",{"date":141,"type":35},"2023-12-07",{"date":143,"type":21},"2030-12",{"name":145,"class":42},"University Hospital, Clermont-Ferrand",{"id":147,"slug":148,"hasResults":11,"nctId":149,"briefTitle":150,"officialTitle":151,"acronym":152,"eligibilityCriteria":153,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":154,"targetDuration":4,"studyType":55,"phases":156,"briefSummary":157,"conditions":158,"keywords":4,"overallStatus":66,"whyStopped":4,"lastUpdateSubmitDate":165,"lastUpdatePostDateStruct":166,"startDateStruct":168,"completionDateStruct":170,"leadSponsor":172,"locationsCount":4},"100603377","online-access-to-clinical-treatment-notes-for-outpatients-100603377","NCT07135726","Online Access to Clinical Treatment Notes for Outpatients","OpenNOTES: Online Access to Clinical Treatment Notes for Outpatients - an Interventional, Prospective, Controlled Mixed-methods Study","OpenNOTES","Inclusion Criteria:\n\nPatients (General, Module A \\& D):\n\n* Aged 18 years or older\n* Outpatient treatment at one of the four study centers\n* For intervention group: access to an internet-enabled device (e.g. smartphone, tablet, computer) and ability to receive text messages\n\nFor Module D:\n\n* Experience with the respective disease or medical field (e.g. via prior treatment experience or basic medical understanding)\n* At least one documented clinical treatment in the internal system of a participating center within the 12 months prior to intervention start\n* Availability of clinically relevant treatment notes (e.g. physician letters, progress notes, discharge summaries, consultation notes) suitable for anonymized analysis\n\nPatients (Control Group - Module A):\n\n•No requirement for access to an internet-enabled device\n\nHealthcare Practitioners (Modules A \\& D):\n\n* Aged 18 years or older\n* Employed at one of the study centers\n* Ability to give informed consent\n* For Module D: experience in relevant clinical field and familiarity with medical terminology and treatment standards\n\nRelatives (Module B):\n\n* Aged 18 years or older\n* Ability to give informed consent\n* Identified as family member, friend, or legal representative of a participating patient\n\nExperts (Module E):\n\n* Demonstrated expertise or professional experience in digital health Relevant experience with telematics infrastructure (TI), HL7 FHIR®, ePA, KIM, TIM, or affiliation with relevant institutions (e.g. gematik GmbH, HL7 Deutschland e.V., mio42 GmbH)\n* Participation in or co-design of health IT interoperability projects\n\nPatients and Physicians (Module E):\n\n* Good proficiency in German (workshops conducted in German)\n* Basic digital literacy and experience with digital technologies in healthcare\n\nExclusion Criteria:\n\nGeneral:\n\n* Insufficient German language skills\n* Severe organic brain disorders with cognitive impairment\n* Intellectual disability\n* Acute self-endangerment or danger to others at time of inclusion\n* Lack of capacity to provide informed consent\n* Lack of access to an internet-enabled device and inability to receive text messages (except in control group of Module A)\n\nModule D:\n\n* Clinical notes that cannot be anonymized due to legal, ethical, or technical restrictions\n* Presence of rare diagnoses or unique treatment histories that hinder effective anonymization",{"count":155,"type":21},1092,[57],"This study investigates the feasibility and impact of patient access to clinical notes written by their healthcare providers-a concept known as Open Notes. While international research has already demonstrated positive effects of Open Notes on patient empowerment and treatment outcomes, there is a lack of corresponding evidence for the German healthcare context. The quasi-experimental study therefore combines quantitative and qualitative methods to evaluate the effects of Open Notes on patient-reported outcomes as well as clinical practice.\n\nThe study is structured into five modules, each addressing specific research questions:\n\nModule A - Summative Outcome Evaluation in Patients: Does the use of Open Notes lead to a significant increase in patient-reported outcomes such as empowerment and self-efficacy? Module B - Formative Process Evaluation with Stakeholders: What experiences do patients, relatives and clinicians have with Open Notes and what challenges and barriers arise in their use? Module C - Changes in Clinical Documentation: How do language style and content of clinical notes change when they are shared with patients as Open Notes? Module D - Optimization through Artificial Intelligence: Can clinical notes be processed using artificial intelligence in a way that makes them easier for patients to understand compared to conventional medical documentation? Module E - Integration into National Data Infrastructure: What technical, organizational and legal requirements must be met to successfully integrate Open Notes into the national telematics infrastructure and the electronic health record or routine care? The overall goal is to identify both patient-related outcomes and structural conditions for the sustainable implementation of Open Notes in the German healthcare system. The use of artificial intelligence is intended to further enhance patient-centeredness while reducing the burden on clinical staff.",[159,160,161,162,163,164,26],"Mental Disorders","Chronic Disease","Primary Health Care","Outpatients","Internal Medicine","Aged","2025-08-20",{"date":167,"type":35},"2025-08-22",{"date":169,"type":21},"2025-09-01",{"date":171,"type":21},"2028-02-29",{"name":173,"class":42},"Julian Schwarz"]