{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:10:16Z","timestamp":1772118616445,"version":"3.50.1"},"reference-count":34,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T00:00:00Z","timestamp":1566432000000},"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":["Hematological Oncology"],"published-print":{"date-parts":[[2019,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Currently available prognostic scoring systems in primary myelofibrosis (PMF) do not integrate clinical, histological, and molecular data, or they also required information on \u201cother\u201d mutations that are available in the clinical practice only in a very limited number of laboratories. In the present multicenter study, including 401 PMF patients, an integrated International Prognostic Scoring System (I\u2010IPSS) was developed by combining IPSS, grade of bone marrow fibrosis (GBMF), and driver mutations molecular status (MS) to define PMF prognosis at diagnosis. Four prognostic categories were identified: I\u2010IPSS\u2013low risk (113 patients), I\u2010IPSS\u2013intermediate\u20101 risk (56 patients), I\u2010IPSS\u2013intermediate\u20102 risk (154 patients), and I\u2010IPSS\u2013high risk (78 patients). Median overall survival was 26.7 years in I\u2010IPSS\u2013intermediate\u20101, 10.8 in I\u2010IPSS\u2013intermediate\u20102, and 6.4 in I\u2010IPSS\u2010high\u2010risk patients (log\u2010rank test &lt;0.0001); instead, it was not reached in the I\u2010IPSS\u2013low\u2010risk cohort because of the extremely low number of registered deaths. The addition of GBMF and MS to IPSS improved the efficacy for predicting the risk of death. Indeed, the sensitivity of I\u2010IPSS was significantly higher (\n                    <jats:italic>P<\/jats:italic>\n                    &lt; .05) than that of IPSS, considering both total deaths and 5\u2010 and 10\u2010year mortality. This comprehensive approach allows clinicians to evaluate mutual interactions between IPSS, GBMF, and MS and identify high\u2010risk patients with poor prognosis who may benefit from aggressive treatments. More importantly, this integrated score can be easily applicable worldwide as it only required information that represent the good clinical practice in the management of PMF patients.\n                  <\/jats:p>","DOI":"10.1002\/hon.2658","type":"journal-article","created":{"date-parts":[[2019,7,29]],"date-time":"2019-07-29T21:14:43Z","timestamp":1564434883000},"page":"424-433","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Integrating clinical, morphological, and molecular data to assess prognosis in patients with primary myelofibrosis at diagnosis: A practical approach"],"prefix":"10.1002","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4401-0812","authenticated-orcid":false,"given":"Alessandra","family":"Iurlo","sequence":"first","affiliation":[{"name":"Hematology Division Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan  Milan Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena Maria","family":"Elli","sequence":"additional","affiliation":[{"name":"Hematology Division San Gerardo Hospital, ASST Monza  Monza Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8367-5668","authenticated-orcid":false,"given":"Francesca","family":"Palandri","sequence":"additional","affiliation":[{"name":"Institute of Hematology \u201cL. and A. 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