Wolfson JCan-Lan SWyatt L. Impact of care at NCI comprehensive care centers on outcomes in children, adolescents and young adults with hematologic malignancies [abstract]. Blood 2014;124:Abstract 556.
Loberiza FR JrCannon AJWeisenburger DD. Survival disparities in patients with lymphoma according to place of residence and treatment provider: a population-based study. J Clin Oncol 2009;27:5376–5382.
Giri SPathak RAryal MR. Impact of hospital volume on outcomes of patients undergoing chemotherapy for acute myeloid leukemia: a matched cohort study. Blood 2015;125:3359–3360.
Go RSAl-Hamadani MShah ND. Influence of the treatment facility volume on the survival of patients with non-Hodgkin lymphoma. Cancer 2016;122:2552–2559.
Shanafelt TDKay NERabe KG. Hematologist/oncologist disease-specific expertise and survival: lessons from chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma (SLL). Cancer 2012;118:1827–1837.
Go RSBartley ACCrowson CS. Association between treatment facility volume and mortality of patients with multiple myeloma. J Clin Oncol 2017;35:598–604.
Mesman RWestert GPBerden BJ. Why do high-volume hospitals achieve better outcomes? A systematic review about intermediate factors in volume-outcome relationships. Health Policy 2015;119:1055–1067.
Trogdon JGChang YShai S. Care coordination and multi-specialty teams in the care of colorectal cancer patients. Med Care 2018;56:430–435.
Barnett MLChristakis NAO’Malley J. Physician patient-sharing networks and the cost and intensity of care in US hospitals. Med Care 2012;50:152–160.
Casalino LPPesko MFRyan AM. Physician networks and ambulatory care-sensitive admissions. Med Care 2015;53:534–541.
Agha LEricson KMGeissler KH. Team formation and performance: evidence from healthcare referral networks. The National Bureau of Economic Research website. Available at: https://www.nber.org/papers/w24338. Accessed February 1 2019.
Trogdon JGWeir WHShai S. Comparing shared patient networks across payers [published online April 3, 2019]. J Gen Intern Med doi: 10.1007/s11606-019-04978-9
Faurot KRJonsson Funk MPate V. Using claims data to predict dependency in activities of daily living as a proxy for frailty. Pharmacoepidemiol Drug Saf 2015;24:59–66.
United States Census Bureau. Summary File. 2005–2009 American Community Survey. U.S. Census Bureau's American Community Survey Office 2013. Available at: http://ftp2.census.gov/. Accessed December 4 2016.
Morrill RCromartie JHart G. Metropolitan, urban, and rural commuting areas: toward a better depiction of the United States settlement system. Urban Geogr 1999;20:727–748.
Rural Health Research Center (RUCA). RUCA data: ZIP code RUCA approximation. Available at: http://depts.washington.edu/uwruca/ruca-approx.php. Accessed April 1 2016.
Ravindran AGonsalves WIHashmi SK. Estimating the annual volume of hematologic cancer cases per hematologist-oncologist in the United States: are we treating rare cancers too rarely? Leuk Lymphoma 2017;58:251–252.
Attal MLauwers-Cances VHulin C. Lenalidomide, bortezomib, and dexamethasone with transplantation for multiple myeloma. N Engl J Med 2017;376:1311–1320.
Warren JLHarlan LCStevens J. Multiple myeloma treatment transformed: a population-based study of changes in initial management approaches in the United States. J Clin Oncol 2013;31:1984–1989.
Al-Hamadani MHashmi SKGo RS. Use of autologous hematopoietic cell transplantation as initial therapy in multiple myeloma and the impact of socio-geo-demographic factors in the era of novel agents. Am J Hematol 2014;89:825–830.
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)| false . , Al-Hamadani M , Hashmi SK Go RS Use of autologous hematopoietic cell transplantation as initial therapy in multiple myeloma and the impact of socio-geo-demographic factors in the era of novel agents. 2014; 89: 825– 830. 24799343 10.1002/ajh.23753