{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T05:40:07Z","timestamp":1790314807321,"version":"4.1.0"},"reference-count":63,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2023,5,3]],"date-time":"2023-05-03T00:00:00Z","timestamp":1683072000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100015769","name":"Dexcom","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100015769","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To determine whether continuous glucose monitoring (CGM) can reduce hypoglycaemia in patients with post\u2010bariatric hypoglycaemia (PBH).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>In an open\u2010label, nonrandomized, pre\u2010post design with sequential assignment, CGM data were collected in 22 individuals with PBH in two sequential phases: (i) masked (no access to sensor glucose or alarms); and (ii) unmasked (access to sensor glucose and alarms for low or rapidly declining sensor glucose). Twelve participants wore the Dexcom G4 device for a total of 28\u2009days, while 10 wore the Dexcom G6 device for a total of 20\u2009days.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Participants with PBH spent a lower percentage of time in hypoglycaemia over 24\u2009hours with unmasked versus masked CGM (&lt;3.3 mM\/L, or &lt;60\u2009mg\/dL: median [median absolute deviation {MAD}] 0.7 [0.8]% vs. 1.4 [1.7]%,\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.03; &lt;3.9 mM\/L, or &lt;70 mg\/dL: median [MAD] 2.9 [2.5]% vs. 4.7 [4.8]%;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.04), with similar trends overnight. Sensor glucose data from the unmasked phase showed a greater percentage of time spent between 3.9 and 10 mM\/L (70\u2010180 mg\/dL) (median [MAD] 94.8 [3.9]% vs. 90.8 [5.2]%;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.004) and lower glycaemic variability over 24\u2009hours (median [MAD] mean amplitude of glycaemic excursion 4.1 [0.98] vs. 4.4 [0.99] mM\/L;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.04). During the day, participants also spent a greater percentage of time in normoglycaemia with unmasked CGM (median [MAD] 94.2 [4.8]% vs. 90.9 [6.2]%;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.005), largely due to a reduction in hyperglycaemia (&gt;10 mM\/L, or 180 mg\/dL: median [MAD] 1.9 [2.2]% vs. 3.9 [3.6]%;\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.02).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Real\u2010time CGM data and alarms are associated with reductions in low sensor glucose, elevated sensor glucose, and glycaemic variability. This suggests CGM allows patients to detect hyperglycaemic peaks and imminent hypoglycaemia, allowing dietary modification and self\u2010treatment to reduce hypoglycaemia. The use of CGM devices may improve safety in PBH, particularly for patients with hypoglycaemia unawareness.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.15096","type":"journal-article","created":{"date-parts":[[2023,4,12]],"date-time":"2023-04-12T23:45:01Z","timestamp":1681343101000},"page":"2191-2202","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Continuous glucose monitoring in patients with\n                    <scp>post\u2010bariatric<\/scp>\n                    hypoglycaemia reduces hypoglycaemia and glycaemic variability"],"prefix":"10.1111","volume":"25","author":[{"given":"Cameron","family":"Cummings","sequence":"first","affiliation":[{"name":"Research Division, Joslin Diabetes Center  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2928-7530","authenticated-orcid":false,"given":"Alex","family":"Jiang","sequence":"additional","affiliation":[{"name":"Research Division, Joslin Diabetes Center  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amanda","family":"Sheehan","sequence":"additional","affiliation":[{"name":"Research Division, Joslin Diabetes Center  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rafael","family":"Ferraz\u2010Bannitz","sequence":"additional","affiliation":[{"name":"Research Division, Joslin Diabetes Center  Boston Massachusetts USA"},{"name":"Harvard Medical School  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexa","family":"Puleio","sequence":"additional","affiliation":[{"name":"Research Division, Joslin Diabetes Center  Boston Massachusetts 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