Literature DB >> 32090325

First-line treatment in older patients with Hodgkin lymphoma: a Surveillance, Epidemiology, and End Results (SEER)-Medicare population-based study.

Angie Mae Rodday1,2, Theresa Hahn3, Anita J Kumar1,2, Peter K Lindenauer4, Jonathan W Friedberg5, Andrew M Evens6, Susan K Parsons1,2.   

Abstract

While Hodgkin lymphoma (HL) is highly curable in younger patients, older patients have higher relapse and death rates, which may reflect age-related factors, distinct disease biology and/or treatment decisions. We described the association between patient, disease and geographic factors and first-line treatment in older patients (≥65 years) with incident HL using Surveillance, Epidemiology, and End Results (SEER)-Medicare data from 1999 to 2014 (n = 2825). First-line treatment initiated at ≤4 months after diagnosis was categorised as: full chemotherapy regimen (n = 699, 24·7%); partial chemotherapy regimen (n = 1016, 36·0%); single chemotherapy agent or radiotherapy (n = 382, 13·5%); and no treatment (n = 728, 25·8%). Among the fully treated, ABVD [doxorubicin (Adriamycin), bleomycin, vinblastine, dacarbazine]/AVD was most common (n = 635, 90·8%). Adjusted multinomial logistic regression identified factors associated with treatment. Older age, Medicaid dual eligibility, not married, frailty, cardiac comorbidity, prior cancer, earlier diagnosis date, histology, advanced disease Stage, B symptoms and South region were independently associated with increased odds of not receiving full chemotherapy regimens. In conclusion, we found variability in first-line HL treatment for older patients. Treatment differences by Medicaid and region may indicate disparities. Even after adjusting for frailty and cardiac comorbidity, age was associated with treatment, suggesting factors such as end-of-life care or shared decision-making may influence treatment in older patients.
© 2020 British Society for Haematology and John Wiley & Sons Ltd.

Entities:  

Keywords:  Hodgkin disease; SEER programme; aged; antineoplastic agents; healthcare disparities

Year:  2020        PMID: 32090325      PMCID: PMC7368808          DOI: 10.1111/bjh.16525

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  35 in total

1.  A retrospective multicenter analysis of elderly Hodgkin lymphoma: outcomes and prognostic factors in the modern era.

Authors:  Andrew M Evens; Irene Helenowski; Erika Ramsdale; Chadi Nabhan; Reem Karmali; Britt Hanson; Benjamin Parsons; Scott Smith; Annette Larsen; June M McKoy; Borko Jovanovic; Stephanie Gregory; Leo I Gordon; Sonali M Smith
Journal:  Blood       Date:  2011-11-23       Impact factor: 22.113

2.  Medicare Advantage Checkup.

Authors:  Patricia Neuman; Gretchen A Jacobson
Journal:  N Engl J Med       Date:  2018-11-14       Impact factor: 91.245

3.  A prospectively randomized trial carried out by the German Hodgkin Study Group (GHSG) for elderly patients with advanced Hodgkin's disease comparing BEACOPP baseline and COPP-ABVD (study HD9elderly).

Authors:  V Ballova; J-U Rüffer; H Haverkamp; B Pfistner; H K Müller-Hermelink; E Dühmke; P Worst; M Wilhelmy; R Naumann; M Hentrich; H T Eich; A Josting; M Löffler; V Diehl; A Engert
Journal:  Ann Oncol       Date:  2005-01       Impact factor: 32.976

4.  Phase 2 study of PVAG (prednisone, vinblastine, doxorubicin, gemcitabine) in elderly patients with early unfavorable or advanced stage Hodgkin lymphoma.

Authors:  Boris Böll; Henning Bredenfeld; Helen Görgen; Teresa Halbsguth; Hans T Eich; Martin Soekler; Jana Markova; Ulrich Keller; Ullrich Graeven; Stephan Kremers; Michael Geissler; Guido Trenn; Michael Fuchs; Bastian von Tresckow; Dennis A Eichenauer; Peter Borchmann; Andreas Engert
Journal:  Blood       Date:  2011-09-13       Impact factor: 22.113

5.  Factors Contributing To Geographic Variation In End-Of-Life Expenditures For Cancer Patients.

Authors:  Nancy L Keating; Haiden A Huskamp; Elena Kouri; Deborah Schrag; Mark C Hornbrook; David A Haggstrom; Mary Beth Landrum
Journal:  Health Aff (Millwood)       Date:  2018-07       Impact factor: 6.301

6.  Randomized comparison of ABVD and MOPP/ABV hybrid for the treatment of advanced Hodgkin's disease: report of an intergroup trial.

Authors:  David B Duggan; Gina R Petroni; Jeffrey L Johnson; John H Glick; Richard I Fisher; Joseph M Connors; George P Canellos; Bruce A Peterson
Journal:  J Clin Oncol       Date:  2003-02-15       Impact factor: 44.544

7.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

8.  Chemotherapy of advanced Hodgkin's disease with MOPP, ABVD, or MOPP alternating with ABVD.

Authors:  G P Canellos; J R Anderson; K J Propert; N Nissen; M R Cooper; E S Henderson; M R Green; A Gottlieb; B A Peterson
Journal:  N Engl J Med       Date:  1992-11-19       Impact factor: 91.245

9.  Relapsed hodgkin lymphoma in older patients: a comprehensive analysis from the German hodgkin study group.

Authors:  Boris Böll; Helen Goergen; Nils Arndt; Julia Meissner; Stefan W Krause; Roland Schnell; Bastian von Tresckow; Dennis A Eichenauer; Stephanie Sasse; Michael Fuchs; Karolin Behringer; Beate C Klimm; Ralph Naumann; Volker Diehl; Andreas Engert; Peter Borchmann
Journal:  J Clin Oncol       Date:  2013-11-04       Impact factor: 44.544

10.  Disparities in survival by insurance status in patients with Hodgkin lymphoma.

Authors:  Rahul R Parikh; Michael L Grossbard; B Lee Green; Louis B Harrison; Joachim Yahalom
Journal:  Cancer       Date:  2015-06-08       Impact factor: 6.860

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  5 in total

1.  Multicenter analysis of geriatric fitness and real-world outcomes in older patients with classical Hodgkin lymphoma.

Authors:  Victor M Orellana-Noia; Krista Isaac; Mary-Kate Malecek; Nancy L Bartlett; Timothy J Voorhees; Natalie S Grover; Steven R Hwang; N Nora Bennani; Rachel Hu; Brian T Hill; Eric Mou; Ranjana H Advani; Jordan Carter; Kevin A David; Hatcher J Ballard; Jakub Svoboda; Michael C Churnetski; Gabriela Magarelli; Tatyana A Feldman; Jonathon B Cohen; Andrew M Evens; Craig A Portell
Journal:  Blood Adv       Date:  2021-09-28

2.  Nomogram model and risk score predicting overall survival and guiding clinical decision in patients with Hodgkin's lymphoma: an observational study using SEER population-based data.

Authors:  Xiangping Liang; Mingtao Zhang; Zherui Zhang; Shuzhen Tan; Yingqi Li; Yueyuan Zhong; Yingqi Shao; Yi Kong; Yue Yang; Shang Li; Jiayi Xu; Zesong Li; Xiao Zhu
Journal:  BMJ Open       Date:  2022-06-07       Impact factor: 3.006

3.  Association of Treatment Intensity With Survival in Older Patients With Hodgkin Lymphoma.

Authors:  Angie Mae Rodday; Theresa Hahn; Anita J Kumar; Peter K Lindenauer; Jonathan W Friedberg; Andrew M Evens; Susan K Parsons
Journal:  JAMA Netw Open       Date:  2021-10-01

4.  Racial/Ethnic Disparities on the Risk of Second Malignant Neoplasm Among Hodgkin Lymphoma Survivors.

Authors:  Han Xiao; Jianghua He; Simin Liang; Duo Cai; Qiao Zhou; Lanxiang Liu; Xinyu Yan; Jianxiang Chi; Qing Xiao; Li Wang
Journal:  Front Oncol       Date:  2022-01-24       Impact factor: 6.244

5.  Development and validation of a prediction model for 1-year mortality among older adults with Hodgkin Lymphoma who receive dose-intense chemotherapy.

Authors:  Anita J Kumar; Jason Nelson; Angie Mae Rodday; Andrew M Evens; Jonathan W Friedberg; Tanya M Wildes; Susan K Parsons
Journal:  J Geriatr Oncol       Date:  2021-07-28       Impact factor: 3.599

  5 in total

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