Literature DB >> 29860375

Defining Survivorship Trajectories Across Patients With Solid Tumors: An Evidence-Based Approach.

Robert L Dood1, Yang Zhao2, Shannon D Armbruster1, Robert L Coleman1, Shelley Tworoger3,4, Anil K Sood1, Keith A Baggerly2.   

Abstract

Importance: Survivorship involves a multidisciplinary approach to surveillance and management of comorbidities and secondary cancers, overseen by oncologists, surgeons, and primary care physicians. Optimal timing and coordination of care, however, is unclear and often based on arbitrary 5-year cutoffs. Objective: To determine high- and low-risk periods for all tumor types that could define when survivorship care might best be overseen by oncologists and when to transition to primary care physicians. Design, Setting, and Participants: In this pan-cancer, longitudinal, observational study, excess mortality hazard, calculated as an annualized mortality risk above a baseline population, was plotted over time. The time this hazard took to stabilize defined a high-risk period. The percent morality elevation above age- and sex-matched controls in the latter low-risk period was reported as a mortality gap. The US population-based Surveillance, Epidemiology, and End Results database defined the cancer population, and the US Census life tables defined controls. Incident cases of patients with cancer were separated into tumor types based on International Classification of Diseases for Oncology definitions. Exposures: Population-level data on incident cancer cases was compared with the general US population. Main Outcomes and Measures: Overall mortality and cause of death were reported on observed cancer cases.
Results: A total of 2 317 185 patients (median age, 63 years; 49.8% female) with 66 primary tumor types were evaluated. High-risk surveillance period durations ranged from less than 1 year (breast, prostate, lip, ocular, and parathyroid cancers) up to 19 years (unspecified gastrointestinal cancers). The annualized mortality gap, representing the excess mortality in the stable period, ranged from a median 0.26% to 9.33% excess annual mortality (thyroid and hypopharyngeal cancer populations, respectively). Cluster analysis produced 6 risk cluster groups: group 1, with median survival of 16.2 (5th to 95th percentile range [PR], 10.7-40.2) years and median high-risk period of 2.5 (PR, 0-5.0) years; group 2, 8.3 (PR, 5.1-23.3) and 2.5 (PR, 4.0-8.0) years; group 3, 2.8 (PR, 1.4-3.7) and 7.0 (PR, 6.0-11.1) years; group 4, 1.6 (PR, 1.5-1.8) and 6.0 (PR, 5.1-11.4) years; group 5, 0.8 (PR, 0.5-1.2) and 0.8 (PR, 0.5-1.2) years; and group 6, 0.5 (PR, 0.4-0.8) and 12.0 (PR, 9.3-12.9) years, respectively. Subanalyses of selected tumor types in these groups revealed that stratifying on stage and histologic type can change the risk cluster and guidance for care. Conclusions and Relevance: These findings indicate that a standardized 5-year surveillance period is inadequate for some cancers while excessive for others. High-risk cancers require the most resources with the longest high-risk period, highest persistent baseline mortality risk, and longest period of primary cancer mortality, all arguing for longer follow-up with an oncologist in these cancers.

Entities:  

Mesh:

Year:  2018        PMID: 29860375      PMCID: PMC6248088          DOI: 10.1001/jamaoncol.2018.2761

Source DB:  PubMed          Journal:  JAMA Oncol        ISSN: 2374-2437            Impact factor:   31.777


  11 in total

1.  Cancer statistics, 2018.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-01-04       Impact factor: 508.702

Review 2.  Integrating primary care providers in the care of cancer survivors: gaps in evidence and future opportunities.

Authors:  Larissa Nekhlyudov; Denalee M O'malley; Shawna V Hudson
Journal:  Lancet Oncol       Date:  2017-01       Impact factor: 41.316

3.  Long-term cause-specific mortality among survivors of childhood cancer.

Authors:  Raoul C Reulen; David L Winter; Clare Frobisher; Emma R Lancashire; Charles A Stiller; Meriel E Jenney; Roderick Skinner; Michael C Stevens; Michael M Hawkins
Journal:  JAMA       Date:  2010-07-14       Impact factor: 56.272

Review 4.  Risk-based health care, the cancer survivor, the oncologist, and the primary care physician.

Authors:  Mary S McCabe; Ann H Partridge; Eva Grunfeld; Melissa M Hudson
Journal:  Semin Oncol       Date:  2013-12       Impact factor: 4.929

Review 5.  Cardio-oncology: an ongoing evolution.

Authors:  Bradley J Petek; Chris Greenman; Joerg Herrmann; Michael S Ewer; Robin L Jones
Journal:  Future Oncol       Date:  2015       Impact factor: 3.404

6.  Worldwide comparison of ovarian cancer survival: Histological group and stage at diagnosis (CONCORD-2).

Authors:  Melissa Matz; Michel P Coleman; Helena Carreira; Diego Salmerón; Maria Dolores Chirlaque; Claudia Allemani
Journal:  Gynecol Oncol       Date:  2016-12-02       Impact factor: 5.482

7.  Active Surveillance for Low-Risk Cancers - A Viable Solution to Overtreatment?

Authors:  Megan R Haymart; David C Miller; Sarah T Hawley
Journal:  N Engl J Med       Date:  2017-07-20       Impact factor: 91.245

8.  Predictors of long-term survival in patients with lung cancer included in the randomized Spanish Lung Cancer Group 0008 phase II trial using concomitant chemoradiation with docetaxel and carboplatin plus induction or consolidation chemotherapy.

Authors:  Pilar Garrido; Rafael Rosell; Bartomeu Massutí; Felipe Cardenal; Vicente Alberola; Manuel Dómine; Inmaculada Maeztu; Alfredo Ramos; Antonio Arellano
Journal:  Clin Lung Cancer       Date:  2009-05       Impact factor: 4.785

Review 9.  Cancer treatment and survivorship statistics, 2014.

Authors:  Carol E DeSantis; Chun Chieh Lin; Angela B Mariotto; Rebecca L Siegel; Kevin D Stein; Joan L Kramer; Rick Alteri; Anthony S Robbins; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2014-06-01       Impact factor: 508.702

Review 10.  Models of Cancer Survivorship Care: Overview and Summary of Current Evidence.

Authors:  Michael T Halpern; Meera Viswanathan; Tammeka S Evans; Sarah A Birken; Ethan Basch; Deborah K Mayer
Journal:  J Oncol Pract       Date:  2014-09-09       Impact factor: 3.840

View more
  12 in total

1.  The Role of Secondary Cytoreductive Surgery in Recurrent Ovarian Cancer: A Systematic Review and Meta-Analysis.

Authors:  Claudia Marchetti; Anna Fagotti; Vincenzo Tombolini; Giovanni Scambia; Francesca De Felice
Journal:  Ann Surg Oncol       Date:  2020-10-16       Impact factor: 5.344

2.  Implementing personalized pathways for cancer follow-up care in the United States: Proceedings from an American Cancer Society-American Society of Clinical Oncology summit.

Authors:  Catherine M Alfano; Deborah K Mayer; Smita Bhatia; Jane Maher; Jessica M Scott; Larissa Nekhlyudov; Janette K Merrill; Tara O Henderson
Journal:  CA Cancer J Clin       Date:  2019-03-08       Impact factor: 508.702

3.  Patterns of self-reported care in a cohort of prostate cancer survivors: Implications for risk-stratified care.

Authors:  Larissa Nekhlyudov; Jaime E Blackmon; Philip Kantoff; Christopher J Recklitis
Journal:  J Geriatr Oncol       Date:  2020-03-17       Impact factor: 3.599

4.  Predictors of survival trajectories among women with epithelial ovarian cancer.

Authors:  Lauren C Peres; Sweta Sinha; Mary K Townsend; Brooke L Fridley; Beth Y Karlan; Susan K Lutgendorf; Eileen Shinn; Anil K Sood; Shelley S Tworoger
Journal:  Gynecol Oncol       Date:  2019-12-12       Impact factor: 5.482

5.  Personalized Cancer Follow-Up Care Pathways: A Delphi Consensus of Research Priorities.

Authors:  Corinne R Leach; Catherine M Alfano; Jessica Potts; Lisa Gallicchio; K Robin Yabroff; Kevin C Oeffinger; Erin E Hahn; Lawrence N Shulman; Shawna V Hudson
Journal:  J Natl Cancer Inst       Date:  2020-12-14       Impact factor: 13.506

6.  Secondary Surgical Cytoreduction for Recurrent Ovarian Cancer.

Authors:  Robert L Coleman; Nick M Spirtos; Danielle Enserro; Thomas J Herzog; Paul Sabbatini; Deborah K Armstrong; Jae-Weon Kim; Sang-Yoon Park; Byoung-Gie Kim; Joo-Hyun Nam; Keiichi Fujiwara; Joan L Walker; Ann C Casey; Angeles Alvarez Secord; Steve Rubin; John K Chan; Paul DiSilvestro; Susan A Davidson; David E Cohn; Krishnansu S Tewari; Karen Basen-Engquist; Helen Q Huang; Mark F Brady; Robert S Mannel
Journal:  N Engl J Med       Date:  2019-11-14       Impact factor: 91.245

7.  Patient preferences and comfort for cancer survivorship models of care: results of an online survey.

Authors:  Deanna J Attai; Matthew S Katz; Elani Streja; Jui-Ting Hsiung; Maria V Marroquin; Beverly A Zavaleta; Larissa Nekhlyudov
Journal:  J Cancer Surviv       Date:  2022-02-03       Impact factor: 4.442

8.  Prognosis and cure of long-term cancer survivors: A population-based estimation.

Authors:  Luigino Dal Maso; Chiara Panato; Stefano Guzzinati; Diego Serraino; Silvia Francisci; Laura Botta; Riccardo Capocaccia; Andrea Tavilla; Anna Gigli; Emanuele Crocetti; Massimo Rugge; Giovanna Tagliabue; Rosa Angela Filiberti; Giuliano Carrozzi; Maria Michiara; Stefano Ferretti; Rosaria Cesaraccio; Rosario Tumino; Fabio Falcini; Fabrizio Stracci; Antonietta Torrisi; Guido Mazzoleni; Mario Fusco; Stefano Rosso; Francesco Tisano; Anna Clara Fanetti; Giovanna Maria Sini; Carlotta Buzzoni; Roberta De Angelis
Journal:  Cancer Med       Date:  2019-06-17       Impact factor: 4.452

9.  Analysis of Autophagy-Related Signatures Identified Two Distinct Subtypes for Evaluating the Tumor Immune Microenvironment and Predicting Prognosis in Ovarian Cancer.

Authors:  Xingyu Chen; Hua Lan; Dong He; Zhanwang Wang; Runshi Xu; Jing Yuan; Mengqing Xiao; Yao Zhang; Lian Gong; Songshu Xiao; Ke Cao
Journal:  Front Oncol       Date:  2021-05-10       Impact factor: 6.244

10.  TIPE1 Suppresses Growth and Metastasis of Ovarian Cancer.

Authors:  Zhenyu Zhang; Minghui Chang; Xingguo Song; Kangyu Wang; Wenjuan Sun; Hongxin Ma; Xiaohui Yan; Yuhong Sun; Xianrang Song; Li Xie
Journal:  J Oncol       Date:  2021-06-03       Impact factor: 4.375

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.