{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,20]],"date-time":"2026-08-20T19:27:58Z","timestamp":1787254078413,"version":"build-2736575974"},"reference-count":20,"publisher":"American Diabetes Association","issue":"9","license":[{"start":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T00:00:00Z","timestamp":1783382400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.diabetesjournals.org\/journals\/pages\/license"}],"funder":[{"DOI":"10.13039\/100001797","name":"Pharmaceutical Research and Manufacturers of America Foundation","doi-asserted-by":"publisher","award":["24-2261-A0001"],"award-info":[{"award-number":["24-2261-A0001"]}],"id":[{"id":"10.13039\/100001797","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017618","name":"Division of Diabetes, Endocrinology, and Metabolic Diseases","doi-asserted-by":"publisher","award":["1R01DK124789-01A1"],"award-info":[{"award-number":["1R01DK124789-01A1"]}],"id":[{"id":"10.13039\/100017618","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Science Foundation IUCRC Center to Stream HealthCare in Place: C2SHIP","award":["2052578"],"award-info":[{"award-number":["2052578"]}]},{"name":"National Science Foundation IUCRC Center to Stream HealthCare in Place: C2SHIP","award":["2516857"],"award-info":[{"award-number":["2516857"]}]}],"content-domain":{"domain":["diabetesjournals.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,9,1]]},"abstract":"<jats:sec>\n                    <jats:title>OBJECTIVE<\/jats:title>\n                    <jats:p>To test whether measured baseline wound, functional, and psychosocial metrics predict attrition from a diabetic foot ulcer randomized controlled trial (RCT) using an offloading device.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESEARCH DESIGN AND METHODS<\/jats:title>\n                    <jats:p>In a 12-week RCT, participants were randomized to removable, removable plus education, or smart removable (feedback-enabled) boots. A secondary analysis projected baseline variables onto a unified attrition-risk scale using a normalization framework and radar visualization, with higher values indicating greater risk. Multivariable logistic regression estimated predictors; discrimination was assessed using the receiver operating characteristic area under the curve (AUC).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Of 210 participants, 76 (36%) withdrew or were lost to follow-up. Slower gait (odds ratio [OR] 1.16) and higher depressive symptoms (OR 1.52) independently predicted attrition. Integrated smart boot metrics demonstrated strong discrimination (AUC 0.81).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS<\/jats:title>\n                    <jats:p>Baseline clinical, functional, and psychosocial variables, integrated through risk-normalized radar visualization, may guide retention strategies. Lower withdrawal in the smart boot group may reflect reinforcement through real-time adherence reminders.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2337\/dc26-0658","type":"journal-article","created":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T14:07:07Z","timestamp":1783433227000},"page":"1681-1685","update-policy":"https:\/\/doi.org\/10.2337\/ada-journal-policies","source":"Crossref","is-referenced-by-count":0,"title":["Predicting the Path to Attrition: Multidomain Risk Assessment in Diabetic Foot Ulcer Offloading Randomized Controlled Trials"],"prefix":"10.2337","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5045-1414","authenticated-orcid":false,"given":"Aminreza","family":"Khandan","sequence":"first","affiliation":[{"name":"Department of Surgery, Center for Advanced Surgical and Interventional Technology, David Geffen School of Medicine, University of California 1 , Los Angeles, 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