<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Preussler JM</submitter><funding>Children&amp;apos;s Leukemia Research Association</funding><funding>Vidacare Corporation</funding><funding>THERAKOS, Inc.</funding><funding>CaridianBCT</funding><funding>Merck &amp;amp; Company</funding><funding>NHLBI NIH HHS</funding><funding>Pall Life Sciences</funding><funding>Schering Corporation</funding><funding>ViraCor Laboratories</funding><funding>ClinImmune Labs</funding><funding>Astellas Pharma US, Inc.</funding><funding>Nature Publishing Group</funding><funding>Otsuka America Pharmaceutical, Inc.</funding><funding>Miller Pharmacal Group</funding><funding>Histogenetics, Inc.</funding><funding>CTI Clinical Trial and Consulting Services</funding><funding>Be the Match Foundation</funding><funding>Milliman USA, Inc.</funding><funding>Sigma-Tau Pharmaceuticals</funding><funding>Biovitrum AB</funding><funding>Medical College of Wisconsin</funding><funding>Pfizer Inc</funding><funding>ViroPharma, Inc.</funding><funding>Genentech, Inc.</funding><funding>StemCyte, Inc.</funding><funding>NCI</funding><funding>Amgen, Inc.</funding><funding>Osiris Therapeutics, Inc.</funding><funding>Miltenyi Biotec, Inc.</funding><funding>Bone Marrow Foundation</funding><funding>Buchanan Family Foundation</funding><funding>Eisai, Inc.</funding><funding>BioMarin Pharmaceutical, Inc.</funding><funding>CellGenix, GmbH</funding><funding>Novartis Oncology</funding><funding>Soligenix, Inc.</funding><funding>StemSoft Software, Inc.</funding><funding>National Marrow Donor Program</funding><funding>BloodCenter of Wisconsin</funding><funding>Wellpoint, Inc.</funding><funding>National Cancer Institute</funding><funding>Celgene Corporation</funding><funding>Kirin Brewery Co., Ltd.</funding><funding>Health Resources and Services Administration</funding><funding>Oncology Nursing Society</funding><funding>Millennium Pharmaceuticals, Inc.</funding><funding>the National Heart, Lung and Blood Institute</funding><funding>Office of Naval Research</funding><funding>National Institute of Allergy and Infectious Diseases</funding><funding>NHLBI</funding><funding>Sysmex America, Inc.</funding><funding>Hospira, Inc.</funding><funding>Blue Cross and Blue Shield Association</funding><funding>Public Health Service</funding><funding>NCI NIH HHS</funding><funding>Biogen IDEC</funding><funding>Leukemia &amp;amp; Lymphoma Society</funding><funding>Genzyme Corporation</funding><funding>HKS Medical Information Systems</funding><funding>AABB</funding><funding>Allos, Inc.</funding><pagination>1021-1028</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5497312</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(6)</volume><pubmed_abstract>The primary aim of this study was to describe healthcare costs and utilization during the first year after a diagnosis of acute myeloid leukemia (AML) for privately insured non-Medicare patients in the United States aged 50 to 64 years who were treated with either chemotherapy or chemotherapy and allogeneic hematopoietic cell transplantation (alloHCT). MarketScan (Truven Health Analytics) adjudicated total payments for inpatient, outpatient, and prescription drug claims from 2007 to 2011 were used to estimate costs from the health system perspective. Stabilized inverse propensity score weights were constructed using logistic regression to account for differential selection of alloHCT over chemotherapy. Weighted generalized linear models adjusted costs and utilization (hospitalizations, inp</pubmed_abstract><journal>Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation</journal><pubmed_title>Healthcare Costs and Utilization for Patients Age 50 to 64 Years with Acute Myeloid Leukemia Treated with Chemotherapy or with Chemotherapy and Allogeneic Hematopoietic Cell Transplantation.</pubmed_title><pmcid>PMC5497312</pmcid><funding_grant_id>5U01HL069294</funding_grant_id><funding_grant_id>N00014-06-1-0704</funding_grant_id><funding_grant_id>U24-CA76518</funding_grant_id><funding_grant_id>U24 CA076518</funding_grant_id><funding_grant_id>HHSH234200637018C</funding_grant_id><funding_grant_id>N00014-08-1-0058</funding_grant_id><funding_grant_id>U01 HL069294</funding_grant_id><funding_grant_id>HHSH234200637015C</funding_grant_id><pubmed_authors>Denzen EM</pubmed_authors><pubmed_authors>Preussler JM</pubmed_authors><pubmed_authors>Meyer CL</pubmed_authors><pubmed_authors>Edsall KC</pubmed_authors><pubmed_authors>Saber W</pubmed_authors><pubmed_authors>Vanness DJ</pubmed_authors><pubmed_authors>Majhail NS</pubmed_authors><pubmed_authors>Mau LW</pubmed_authors><pubmed_authors>Burns LJ</pubmed_authors><pubmed_authors>Farnia SH</pubmed_authors></additional><is_claimable>false</is_claimable><name>Healthcare Costs and Utilization for Patients Age 50 to 64 Years with Acute Myeloid Leukemia Treated with Chemotherapy or with Chemotherapy and Allogeneic Hematopoietic Cell Transplantation.</name><description>The primary aim of this study was to describe healthcare costs and utilization during the first year after a diagnosis of acute myeloid leukemia (AML) for privately insured non-Medicare patients in the United States aged 50 to 64 years who were treated with either chemotherapy or chemotherapy and allogeneic hematopoietic cell transplantation (alloHCT). MarketScan (Truven Health Analytics) adjudicated total payments for inpatient, outpatient, and prescription drug claims from 2007 to 2011 were used to estimate costs from the health system perspective. Stabilized inverse propensity score weights were constructed using logistic regression to account for differential selection of alloHCT over chemotherapy. Weighted generalized linear models adjusted costs and utilization (hospitalizations, inp</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Jun</publication><modification>2025-04-19T22:41:07.452Z</modification><creation>2019-03-26T23:38:51Z</creation></dates><accession>S-EPMC5497312</accession><cross_references><pubmed>28263920</pubmed><doi>10.1016/j.bbmt.2017.02.017</doi></cross_references></HashMap>