{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T05:25:28Z","timestamp":1741152328344,"version":"3.38.0"},"reference-count":18,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2016,2,22]],"date-time":"2016-02-22T00:00:00Z","timestamp":1456099200000},"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":["Tumori"],"published-print":{"date-parts":[[2016,5]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p> To test the feasibility of using hospital discharge records (HDR) to monitor frequency indicators of hematologic malignancies (HM) in Abruzzo, an Italian region without a cancer registry. <\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p> Hospital discharge records contain a primary diagnosis field for principal disease and 5 secondary diagnosis fields for other diseases related or not to the principal diagnosis. In order to build patient indicators of HM\u2014non-Hodgkin lymphoma (NHL), Hodgkin lymphoma (HL), multiple myeloma (MM), and leukemia (acute lymphoblastic leukemia [ALL], chronic lymphoid leukemia [CLL], acute myeloid leukemia [AML], and chronic myeloid leukemia [CML])\u2014residents with first ICD-9-CM code 200-208 in any HDR field, or only in primary field, were identified. <\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p> Among 3,955 patients with first diagnosis of HM registered in primary or secondary fields of HDR in the 2009-2013 period, and never recognized in 2005-2008 (791\/year) (60.5\/100,000), patients with first HM only in primary field were 2,304 (461\/year) (35.2\/100,000): 42% were NHL, 34% leukemia, 16% MM, 8% HL. Patient percentage of 461\/791\/year (58%) (64% among ordinary HDR and 49% in day-hospital HDR) was 35% for CLL (28\/81), 47% for MM (74\/152), 50% for CML (16\/32), 57% for HL (36\/63), 62% for NHL (194\/314), and 82% for ALL (18\/22) and AML (64\/78). <\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p> Applying the cancer registries national rate, expected new diagnoses of HM in Abruzzo are about 620\/year (46.4\/100,000), compared to HDR estimates of 461 and 791\/year (primary\/all diagnoses fields: 58%). Since this percentage varies between 35% and 82%, our findings on the 2 methods seem useful for a validation process in the starting Cancer Registry. <\/jats:p><\/jats:sec>","DOI":"10.5301\/tj.5000472","type":"journal-article","created":{"date-parts":[[2016,2,29]],"date-time":"2016-02-29T10:59:51Z","timestamp":1456743591000},"page":"258-263","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Hospital Discharge Records as Data Source to Monitor Epidemiologic Indicators of Hematologic Malignancies in Abruzzo"],"prefix":"10.1177","volume":"102","author":[{"given":"Felice","family":"Vitullo","sequence":"first","affiliation":[{"name":"Department of Hematology, Transfusion Medicine and Biotechnology, ASL of Pescara, Regional Authority of Abruzzo, Pescara - Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katiuscia","family":"Di Biagio","sequence":"additional","affiliation":[{"name":"Environmental Epidemiological Unit, Regional Environmental Protection Agency of Marche, Ancona - Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adriano","family":"Murgano","sequence":"additional","affiliation":[{"name":"Health Information Systems Unit, Regional Authority of Abruzzo, Pescara - Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Di Bartolomeo","sequence":"additional","affiliation":[{"name":"Department of Hematology, Transfusion Medicine and Biotechnology, ASL of Pescara, Regional Authority of Abruzzo, Pescara - Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,2,22]]},"reference":[{"key":"bibr1-tj.5000472","unstructured":"AIOM - AIRTUM - CCM. 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