Literature DB >> 26425335

Demographic and other characteristics of nodal non-Hodgkin's lymphoma managed in academic versus non-academic centers.

Vijaya Raj Bhatt1, Prajwal Dhakal2, Sumit Dahal3, Smith Giri4, Ranjan Pathak5, R Gregory Bociek6, Peter T Silberstein7, James O Armitage6.   

Abstract

BACKGROUND: Cancer therapy and outcomes are known to be affected by various demographic features and hospital types. We aimed to identify the characteristics of non-Hodgkin's lymphoma (NHL) patients associated with receipt of care at academic centers.
METHOD: This is a retrospective study of all patients diagnosed with nodal NHL between 2000 and 2011 in the National Cancer Database (NCDB), who received the diagnosis, and all or part of their initial therapy in the reporting hospital (n = 243,436). Characteristics of patients receiving care in academic versus nonacademic centers were compared using the Chi-square test.
RESULTS: Approximately 27% received care in academic centers. Patients receiving care in nonacademic centers, compared with academic centers, were more likely to be ⩾60 years (69% versus 58%, p < .0001), White (89% versus 80%, p < .0001) and have lower educational attainment (>12% without high school diploma: 72% versus 69%, p < .0001) and economic status (household income <$49,000: 66% versus 61%, p < 0.0001). Patients receiving care in nonacademic centers were less likely to travel ⩾25 miles (21% versus 26%, p < 0.0001). White patients, compared with non-Whites, were more likely to be ⩾60 years (70% versus <50%, p < 0.0001), which probably explains less care in academic centers.
CONCLUSIONS: Patients ⩾60 years and those with poorer educational attainment and economic status were less likely to receive care in academic centers. Care in academic centers required a longer commute. Elderly patients frequently have inferior outcomes and may benefit from clinical trials with novel agents and expertise at academic centers.

Entities:  

Keywords:  academic center; clinical trial participation; elderly patient; non-Hodgkin’s lymphoma; outcome

Year:  2015        PMID: 26425335      PMCID: PMC4556968          DOI: 10.1177/2040620715592568

Source DB:  PubMed          Journal:  Ther Adv Hematol        ISSN: 2040-6207


  18 in total

Review 1.  Racial and ethnic disparities in the receipt of cancer treatment.

Authors:  Vickie L Shavers; Martin L Brown
Journal:  J Natl Cancer Inst       Date:  2002-03-06       Impact factor: 13.506

Review 2.  Colorectal cancer model of health disparities: understanding mortality differences in minority populations.

Authors:  Blase N Polite; James J Dignam; Olufunmilayo I Olopade
Journal:  J Clin Oncol       Date:  2006-05-10       Impact factor: 44.544

Review 3.  Socioeconomic status and changing inequalities in colorectal cancer? A review of the associations with risk, treatment and outcome.

Authors:  Mieke J Aarts; Valery E P P Lemmens; Marieke W J Louwman; Anton E Kunst; Jan Willem W Coebergh
Journal:  Eur J Cancer       Date:  2010-06-01       Impact factor: 9.162

4.  Racial differences in cancer specialist consultation, treatment, and outcomes for locoregional pancreatic adenocarcinoma.

Authors:  Melissa M Murphy; Jessica P Simons; Sing Chau Ng; Theodore P McDade; Jillian K Smith; Shimul A Shah; Zheng Zhou; Craig C Earle; Jennifer F Tseng
Journal:  Ann Surg Oncol       Date:  2009-08-11       Impact factor: 5.344

5.  A population-based study of severity of comorbidity among patients with non-Hodgkin's lymphoma: prognostic impact independent of International Prognostic Index.

Authors:  Maryska L G Janssen-Heijnen; Dick Johan van Spronsen; Valery E P P Lemmens; Saskia Houterman; Kees D G W Verheij; Jan Willem W Coebergh
Journal:  Br J Haematol       Date:  2005-06       Impact factor: 6.998

6.  Differences in clinical trial patient attributes and outcomes according to enrollment setting.

Authors:  Elizabeth B Lamont; Mary Beth Landrum; Nancy L Keating; Laura Archer; Lan Lan; Gary M Strauss; Rogerio Lilenbaum; Harvey B Niell; L Herbert Maurer; Michael P Kosty; Antonius A Miller; Gerald H Clamon; Anthony D Elias; Edward F McClay; Everett E Vokes; Barbara J McNeil
Journal:  J Clin Oncol       Date:  2009-11-23       Impact factor: 44.544

7.  Health care system and socioeconomic factors associated with variance in use of sentinel lymph node biopsy for melanoma in the United States.

Authors:  Karl Y Bilimoria; Charles M Balch; Jeffrey D Wayne; David C Chang; Bryan E Palis; Sydney M Dy; Julie R Lange
Journal:  J Clin Oncol       Date:  2009-03-09       Impact factor: 44.544

8.  Compliance with melanoma treatment guidelines in a community teaching hospital: time trends and other variables.

Authors:  Jennifer L Erickson; Josè M Velasco; Tina J Hieken
Journal:  Ann Surg Oncol       Date:  2008-02-01       Impact factor: 5.344

9.  Determinants of cancer therapy in elderly patients.

Authors:  J S Goodwin; W C Hunt; J M Samet
Journal:  Cancer       Date:  1993-07-15       Impact factor: 6.860

10.  Cancer mortality in the United States by education level and race.

Authors:  Jessica D Albano; Elizabeth Ward; Ahmedin Jemal; Robert Anderson; Vilma E Cokkinides; Taylor Murray; Jane Henley; Jonathan Liff; Michael J Thun
Journal:  J Natl Cancer Inst       Date:  2007-09-11       Impact factor: 13.506

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  2 in total

1.  Effects of Distance From Academic Cancer Center on Overall Survival of Acute Myeloid Leukemia: Retrospective Analysis of Treated Patients.

Authors:  Prajwal Dhakal; Elizabeth Lyden; Kate-Lynn E Muir; Zaid S Al-Kadhimi; Lori J Maness; Krishna Gundabolu; Vijaya Raj Bhatt
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2020-05-26

2.  Improving survival of 3760 patients with lymphoma: Experience of an academic center over two decades.

Authors:  Weiping Liu; Xinqiang Ji; Yuqin Song; Xiaopei Wang; Wen Zheng; Ningjing Lin; Meifeng Tu; Yan Xie; Lingyan Ping; Zhitao Ying; Chen Zhang; Lijuan Deng; Meng Wu; Feier Feng; Xin Leng; Yingli Sun; Tingting Du; Jun Zhu
Journal:  Cancer Med       Date:  2020-04-12       Impact factor: 4.452

  2 in total

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