Real-world risk assessment and treatment initiation among patients with myelofibrosis at community oncology practices in the United States

被引:0
|
作者
Srdan Verstovsek
Jingbo Yu
Jonathan K. Kish
Dilan Paranagama
Jill Kaufman
Callan Myerscough
Michael R. Grunwald
Philomena Colucci
Ruben Mesa
机构
[1] The University of Texas MD Anderson Cancer Center,Department of Leukemia
[2] Incyte Corporation,Levine Cancer Institute
[3] Cardinal Health Specialty Solutions,undefined
[4] Ohio State University,undefined
[5] Atrium Health,undefined
[6] UT Health San Antonio Cancer Center,undefined
来源
Annals of Hematology | 2020年 / 99卷
关键词
Myelofibrosis; Risk stratification; IPSS; Chart review; Treatment patterns;
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学科分类号
摘要
Myelofibrosis (MF) is a chronic myeloproliferative neoplasm with a prevalence of 4 to 6 per 100,000 people in the USA. Treatment recommendations are risk-adapted. This study was conducted to evaluate how physicians risk-stratify patients at the time of MF diagnosis, the accuracy of the risk stratification, and its effect on treatment selection. Medical charts were reviewed at US community hematology/oncology practices in the Cardinal Health Oncology Provider Extended Network; patient clinical characteristics, risk stratification, and treatment data were collected. Physician-assigned risk categorizations were compared with data-derived risk categorizations based on the International Prognostic Scoring System, the system recommended at diagnosis. A total of 491 patients diagnosed with MF between 2012 and 2016 (mean [SD] age at diagnosis, 65.4 [11.8] years; 54.8% male, 69.2% with primary MF) were included. Risk categorization was not assigned for 30.1% of patients. Of the patients with a physician-assigned risk categorization (n = 343), a scoring system was used in 49.9%. Compared with data-derived risk categorizations, 42.9% of physician-assigned risk categorizations were incorrect; 85.0% of incorrect physician-assigned risk categorizations were underestimations. Notably, 38.5% of patients with data-derived intermediate- or high-risk categorizations did not initiate treatment within 120 days of diagnosis. Among patients with data-derived intermediate risk, those with an underestimated physician-assigned risk categorization were significantly less likely to receive treatment within 120 days of diagnosis (51.6% with correct physician-assigned categorization vs 18.5% with underestimated risk categorization; P = 0.0023). These results highlight the gap in risk assessment and the importance of accurate risk stratification at diagnosis.
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页码:2555 / 2564
页数:9
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