[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"joint-replacement\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:joint-replacement":27},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,4,0,[8,42,72,97],{"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":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":30,"lastUpdatePostDateStruct":31,"startDateStruct":34,"completionDateStruct":36,"leadSponsor":38,"locationsCount":41},"100618587","development-and-pre-validation-of-a-machine-learning-based-prediction-algorithm-for-early-functional-recovery-in-patients-undergoing-hip-and-knee-replacement-surgery-100618587",false,"NCT07333560","Development and Pre-validation of a Machine Learning-based Prediction Algorithm for Early Functional Recovery in Patients Undergoing Hip and Knee Replacement Surgery","Development and Pre-validated Multiple Variable Prediction Model Using Machine Learning for Early Functional Recovery After Joint Replacement Surgery.","FISIO_IA","Inclusion Criteria:\n\n* Adults aged 18 years or older\n* Patients underwent elective hip or knee arthroplasty.\n* Patients for whom postoperative physiotherapy was initiated.\n\nExclusion Criteria:\n\n* Patients who underwent surgery for oncologic disease, femoral fracture, or revision joint arthroplasty.\n* Patients for whom postoperative physiotherapy was not provided due to postoperative complications\n* clinical data are unavailable.","ALL","18 Years",{"count":20,"type":21},943,"ESTIMATED","OBSERVATIONAL","The goal of this observational study is to develop and pre-validate a machine learning algorithm to predict early recovery of mobility in patients undergoing hip or knee joint replacement surgery. The primary research question is:\n\nCan a machine learning model accurately classify patients with faster versus slower recovery of autonomous mobility in the first days after joint replacement surgery?\n\nPatients who have undergone elective hip or knee arthroplasty and received post-operative physiotherapy will have their clinical and perioperative data collected retrospectively (2020-2023) and prospectively (March 2026-December 2027). The algorithm will be trained on retrospective data and tested prospectively to evaluate its predictive performance for early mobilization and length of hospital stay.",[25,26,27,28],"Artificial Intelligence (AI)","Machine Learning","Joint Replacement","Predictive Model","RECRUITING","2026-05-27",{"date":32,"type":33},"2026-06-01","ACTUAL",{"date":35,"type":33},"2026-03-09",{"date":37,"type":21},"2027-12",{"name":39,"class":40},"Istituto Ortopedico Rizzoli","OTHER",2,{"id":43,"slug":44,"hasResults":11,"nctId":45,"briefTitle":46,"officialTitle":47,"acronym":4,"eligibilityCriteria":48,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":49,"targetDuration":51,"studyType":22,"phases":4,"briefSummary":52,"conditions":53,"keywords":55,"overallStatus":61,"whyStopped":4,"lastUpdateSubmitDate":62,"lastUpdatePostDateStruct":63,"startDateStruct":65,"completionDateStruct":67,"leadSponsor":69,"locationsCount":4},"100636293","the-restor3d-outcomes-registry-100636293","NCT07563803","The restor3d Outcomes Registry","The restor3d Outcomes Registry: Tracking Patient Recovery After Joint Replacement","Master Protocol Inclusion Criteria:\n\n* Age ≥ 18 years\n* Prescribed an FDA-cleared or approved orthopedic implant manufactured by restor3d, Inc.\n\nMaster Protocol Exclusion Criteria:\n\n* Patient is receiving an implant not manufactured by restor3d\n* Patient is receiving a restor3d implant that is not FDA-cleared or approved\n* Patient lives outside the United States\n* Patient is receiving a restor3d implant that does not use a patient-specific plan, instrumentation or implant\n* Patient is non-English-speaking\n* Patient is receiving a restor3d implant outside of the defined implant cohorts\n* Patient does not provide informed consent\n* Plus additional cohort-specific exclusion criteria",{"count":50,"type":21},2000,"5 Years","The restor3d Outcomes Registry is a prospective, longitudinal, decentralized study designed to capture patient-reported outcomes (PROs) from adults who have received an FDA-cleared or approved restor3d patient-specific orthopedic implant. Using a master protocol framework, the study enrolls patients across multiple joint cohorts (knee, hip, foot \\& ankle, shoulder) under a single protocol, with joint-specific details governed by individual appendices. Participants self-enroll and complete electronic PRO surveys (ePROs) before surgery and at 6 weeks, 3 months, 6 months, and annually through 5 years post-operatively, all remotely, with no required in-person visits. The study aims to quantify changes in pain, function, quality of life, and satisfaction over time, and to establish real-world outcome benchmarks for patient-specific orthopedic implants.",[27,54],"Arthropathy",[56,57,58,59,60],"Knee arthroplasty","Hip arthroplasty","Ankle arthroplasty","Shoulder arthroplasty","restor3d","NOT_YET_RECRUITING","2026-04-30",{"date":64,"type":33},"2026-05-04",{"date":66,"type":21},"2026-05-31",{"date":68,"type":21},"2032-05-31",{"name":70,"class":71},"Restor3D","INDUSTRY",{"id":73,"slug":74,"hasResults":11,"nctId":75,"briefTitle":76,"officialTitle":77,"acronym":78,"eligibilityCriteria":79,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":80,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":82,"conditions":83,"keywords":86,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":88,"lastUpdatePostDateStruct":89,"startDateStruct":91,"completionDateStruct":93,"leadSponsor":95,"locationsCount":96},"100618314","inter--and-intra-observer-reliability-of-the-iowa-level-of-assistance-scale-and-the-effect-of-staff-retraining-100618314","NCT07330011","Inter- and Intra-Observer Reliability of the Iowa Level of Assistance Scale and the Effect of Staff Retraining","Inter- and Intra-observer Reliability of the Iowa Level of Assistance (ILoA) Scale for Measuring Postoperative Functional Recovery in Orthopedic Patients: an Observational Study","ILOA","Inclusion Criteria:\n\n* For Observers (Physiotherapists):\n\nAll physiotherapists working at the main Istituto Ortopedico Rizzoli (IOR) site in Bologna or at the two satellite sites in Argenta and Bagheria.\n\nPhysiotherapists must have the role of observers in the study. All physiotherapists affiliated with the SAITeR service who have previously received initial training in the use of the ILoA scale; newly hired staff must have completed the specific training pathway.\n\nFor Patients:\n\nPatients admitted to IOR Bologna or Argenta for whom administration of the ILoA scale is part of routine clinical practice.\n\nPatients undergoing primary hip or knee arthroplasty for osteoarthritis. Patients undergoing revision hip or knee arthroplasty. Patients undergoing hip arthroplasty or osteosynthesis for femoral fracture.\n\nExclusion Criteria:\n\n* Refusal or inability to provide informed consent (for both physiotherapists and patients).",{"count":81,"type":21},42,"The aim of this study is to evaluate, in routine clinical practice, the inter- and intra-observer reliability of the Iowa Level of Assistance (ILoA) scale, which is regularly used to assess functional recovery in orthopedic patients. A secondary objective is to investigate the impact of a structured retraining program for healthcare staff on the use of the ILoA scale and to determine whether this intervention influences the reliability indices of the scale.",[27,84,85],"Functional Recovery","Reliability",[87],"ILOA scale","2026-01-08",{"date":90,"type":33},"2026-01-09",{"date":92,"type":33},"2025-11-15",{"date":94,"type":21},"2026-09",{"name":39,"class":40},1,{"id":98,"slug":99,"hasResults":11,"nctId":100,"briefTitle":101,"officialTitle":101,"acronym":4,"eligibilityCriteria":102,"healthyVolunteers":11,"sex":17,"minAge":4,"maxAge":4,"enrollmentInfo":103,"targetDuration":4,"studyType":22,"phases":4,"briefSummary":104,"conditions":105,"keywords":4,"overallStatus":29,"whyStopped":4,"lastUpdateSubmitDate":106,"lastUpdatePostDateStruct":107,"startDateStruct":109,"completionDateStruct":111,"leadSponsor":113,"locationsCount":96},"100310994","mcjr-joint-replacement-clinical-outcomes-database-100310994","NCT03328611","MCJR Joint Replacement Clinical Outcomes Database","Inclusion Criteria: Clinical diagnosis of degenerative joint disease requiring treatment with a joint replacement\n\nExclusion Criteria: Clinical diagnosis of degenerative joint disease not requiring treatment with a joint replacement",{"count":50,"type":21},"The purpose of this research study is to develop a database of information regarding the diagnosis, treatment, and outcome of participants who have had a joint replacement. The more information gathered, the better the investigators will be able to treat future patients who need a joint replacement. For example the investigators learn what works well to help design implants and treatment protocols for the future. The investigators publish manuscripts and present research findings around the world to help other investigators and clinicians learn what is discovered. Furthermore, implant manufacturers may be able to use this information in the database to evaluate the success rates of specific joint replacement products.",[27],"2020-08-31",{"date":108,"type":33},"2020-09-02",{"date":110,"type":21},"2021-08-01",{"date":112,"type":21},"2050-12-31",{"name":114,"class":40},"Midwest Center for Joint Replacement"]