{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T00:31:37Z","timestamp":1792110697797,"version":"4.4.0"},"reference-count":31,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T00:00:00Z","timestamp":1538352000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Psychiatr Scand"],"published-print":{"date-parts":[[2018,12]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>\n                      To investigate the potential role of the Maudsley Staging Method (\n                      <jats:styled-content style=\"fixed-case\">MSM<\/jats:styled-content>\n                      ) in the prediction of electroconvulsive therapy (\n                      <jats:styled-content style=\"fixed-case\">ECT<\/jats:styled-content>\n                      ) outcome in severely depressed adults.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>\n                      Between August 2015 and August 2017, 73 consecutive patients with a major depressive episode (DSM\u2010IV\u2010TR) scheduled for ECT were recruited. Prior to their first ECT session, the\n                      <jats:styled-content style=\"fixed-case\">MSM<\/jats:styled-content>\n                      was completed to assess the level of therapy resistance. To determine the reduction in depression severity and response and remission rates, symptom severity was assessed at baseline and within one week after the last\n                      <jats:styled-content style=\"fixed-case\">ECT<\/jats:styled-content>\n                      session using the 17\u2010item Hamilton Depression Rating Scale (\n                      <jats:styled-content style=\"fixed-case\">HDRS<\/jats:styled-content>\n                      17).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The percentage of symptom reduction following\n                      <jats:styled-content style=\"fixed-case\">ECT<\/jats:styled-content>\n                      was best predicted by the\n                      <jats:styled-content style=\"fixed-case\">MSM<\/jats:styled-content>\n                      episode duration and depression severity factors (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      completer sample 0.24). Episode duration alone was the best predictor of remission (area under the\n                      <jats:styled-content style=\"fixed-case\">ROC<\/jats:styled-content>\n                      curve for completers: 0.72). Adding age to the models increased their predictive capacity.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      An adapted version of the\n                      <jats:styled-content style=\"fixed-case\">MSM<\/jats:styled-content>\n                      gauging shorter episode duration, more severe depressive symptoms and older age is significantly associated with\n                      <jats:styled-content style=\"fixed-case\">ECT<\/jats:styled-content>\n                      effectiveness in adults with severe recurrent depression and is thus highly suitable for use in clinical practice, promoting the shared treatment decision\u2010making process.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/acps.12962","type":"journal-article","created":{"date-parts":[[2018,10,1]],"date-time":"2018-10-01T04:04:56Z","timestamp":1538366696000},"page":"605-614","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["The Maudsley Staging Method as predictor of electroconvulsive therapy effectiveness in depression"],"prefix":"10.1111","volume":"138","author":[{"given":"Linda","family":"van Diermen","sequence":"first","affiliation":[{"name":"Collaborative Antwerp Psychiatric Research Institute (CAPRI) Faculty of Medicine and Health Sciences University of Antwerp Antwerp Belgium"},{"name":"University Department Psychiatric Hospital Duffel Duffel Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaat","family":"Hebbrecht","sequence":"additional","affiliation":[{"name":"Collaborative Antwerp Psychiatric Research Institute (CAPRI) Faculty of Medicine and Health Sciences University of Antwerp Antwerp Belgium"},{"name":"University Department Psychiatric Hospital Duffel Duffel Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Didier","family":"Schrijvers","sequence":"additional","affiliation":[{"name":"Collaborative Antwerp Psychiatric Research Institute (CAPRI) Faculty of Medicine and Health Sciences University of Antwerp Antwerp Belgium"},{"name":"University Department Psychiatric Hospital Duffel Duffel Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bernard C. 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