{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T13:59:38Z","timestamp":1777557578179,"version":"3.51.4"},"reference-count":37,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Technology &amp; Therapeutics"],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Automated Insulin Delivery (AID) hybrid closed-loop systems have not been well studied in the context of prescribed meals. We evaluated performance of our interoperable artificial pancreas system (iAPS) in the at-home setting, running on an unlocked smartphone, with scheduled meal challenges in a randomized crossover trial.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>Ten adults with type 1 diabetes completed 2 weeks of AID-based control and 2 weeks of conventional therapy in random order where they consumed regular pasta or extra-long grain white rice as part of a complete dinner meal on six different occasions in both arms (each meal thrice in random order). Surveys assessed satisfaction with AID use.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      Postprandial differences in conventional therapy were 10,919.0\u2009mg\/dL\u2009\u00d7\u2009min (95% confidence interval [CI] 3190.5\u201318,648.0,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u20090.009) for glucose area under the curve (AUC) and 40.9\u2009mg\/dL (95% CI 4.6\u201377.3,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u20090.03) for peak continuous glucose monitor glucose, with rice showing greater increases than pasta. White rice resulted in a lower estimate over pasta by a factor of 0.22 (95% CI 0.08\u20130.63,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u20090.004) for AUC under 70\u2009mg\/dL. These glycemic differences in both meal types were reduced under AID-based control and were not statistically significant, where 0\u20132\u2009h insulin delivery decreased by 0.45\u2009U for pasta (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u20090.001) and by 0.27\u2009U for white rice (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      \u2009=\u20090.01). Subjects reported high overall satisfaction with the iAPS.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>\n                      The AID system running on an unlocked smartphone improved postprandial glucose control over conventional therapy in the setting of challenging meals in the outpatient setting. Clinical Trial Registry:\n                      <jats:uri xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/clinicaltrials.gov\">clinicaltrials.gov<\/jats:uri>\n                      NCT03767790.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1089\/dia.2020.0022","type":"journal-article","created":{"date-parts":[[2020,4,22]],"date-time":"2020-04-22T09:49:33Z","timestamp":1587548973000},"page":"865-874","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":13,"title":["Randomized Crossover Comparison of Automated Insulin Delivery Versus Conventional Therapy Using an Unlocked Smartphone with Scheduled Pasta and Rice Meal Challenges in the Outpatient Setting"],"prefix":"10.1177","volume":"22","author":[{"given":"Sunil","family":"Deshpande","sequence":"first","affiliation":[{"name":"Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA."},{"name":"Sansum Diabetes Research Institute, Santa Barbara, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jordan E.","family":"Pinsker","sequence":"additional","affiliation":[{"name":"Sansum Diabetes Research Institute, Santa Barbara, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mei Mei","family":"Church","sequence":"additional","affiliation":[{"name":"Sansum Diabetes Research Institute, Santa Barbara, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Molly","family":"Piper","sequence":"additional","affiliation":[{"name":"Sansum Diabetes Research Institute, Santa Barbara, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Camille","family":"Andre","sequence":"additional","affiliation":[{"name":"Sansum Diabetes Research Institute, Santa Barbara, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer","family":"Massa","sequence":"additional","affiliation":[{"name":"Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francis J.","family":"Doyle III","sequence":"additional","affiliation":[{"name":"Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA."},{"name":"Sansum Diabetes Research Institute, Santa Barbara, California, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David M.","family":"Eisenberg","sequence":"additional","affiliation":[{"name":"Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eyal","family":"Dassau","sequence":"additional","affiliation":[{"name":"Harvard John A. 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