Literature DB >> 31315912

An Environmental Scan of Biopsychosocial and Clinical Variables in Cohort Studies of Cancer Survivors.

Jessica L Krok-Schoen1,2, Brittany M Bernardo2, Joanne W Elena3, Paige A Green4, Elise Hoover3, Juan Peng5, Garnet L Anderson6, Bette Caan7, Lisa G Johnson6, Electra D Paskett8,9,10.   

Abstract

BACKGROUND: An inventory of cancer survivorship cohorts is necessary to identify important gaps in what is being studied among cancer survivors.
METHODS: We conducted an environmental scan of cancer survivor cohorts to determine the scope and scale of information collected on demographic, biopsychosocial, and selected clinical variables from cancer survivors. Cohorts were eligible for inclusion in the environmental scan if the study was conducted in the United States, reported in English, and consisted of data collected from cancer survivors postdiagnosis and followed for at least 1 year.
RESULTS: Out of the 131 cohorts identified, 62 were eligible. There were 23 cancer sites represented, and more than half of the studies included breast cancer survivors (n = 34). The next most commonly included cancers were leukemia (n = 22) and lymphoma (n = 23). The majority (n = 59) collected information on clinical characteristics and basic diagnostic information, patient demographic characteristics (n = 57), patient-reported symptoms (n = 44), lifestyle (n = 45), and psychologic characteristics (n = 42). Half collected biospecimens (n = 35) and biomarkers (n = 35); fewer collected CAM use (n = 19) and social characteristics (n = 27).
CONCLUSIONS: Extensive data are available in cancer cohorts to study important questions relevant to cancer survivors. Cohorts should consider collecting information on social and environmental factors, as well as biospecimen collection and biomarker analyses, and should include survivors from cancer sites less likely to be studied. IMPACT: This information can assist researchers in understanding the types of information currently being gathered from cancer survivors for further analysis and identify areas where more research is needed. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 31315912      PMCID: PMC6774809          DOI: 10.1158/1055-9965.EPI-18-0541

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  34 in total

1.  Complementary and alternative medicine use among cancer survivors: a population-based study.

Authors:  Jun James Mao; Christina Shearer Palmer; Kaitlin Elizabeth Healy; Krupali Desai; Jay Amsterdam
Journal:  J Cancer Surviv       Date:  2010-10-06       Impact factor: 4.442

2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

3.  A new initiative on precision medicine.

Authors:  Francis S Collins; Harold Varmus
Journal:  N Engl J Med       Date:  2015-01-30       Impact factor: 91.245

4.  The New Vital Sign: Where Do You Live?

Authors:  Electra D Paskett
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-04       Impact factor: 4.254

5.  A global measure of perceived stress.

Authors:  S Cohen; T Kamarck; R Mermelstein
Journal:  J Health Soc Behav       Date:  1983-12

Review 6.  Physical and mental health among cancer survivors: considerations for long-term care and quality of life.

Authors:  Michelle J Naughton; Kathryn E Weaver
Journal:  N C Med J       Date:  2014 Jul-Aug

7.  A brief measure for assessing generalized anxiety disorder: the GAD-7.

Authors:  Robert L Spitzer; Kurt Kroenke; Janet B W Williams; Bernd Löwe
Journal:  Arch Intern Med       Date:  2006-05-22

8.  Do attitudes and beliefs regarding complementary and alternative medicine impact its use among patients with cancer? A cross-sectional survey.

Authors:  Joshua M Bauml; Sagar Chokshi; Marilyn M Schapira; Eun-Ok Im; Susan Q Li; Corey J Langer; Said A Ibrahim; Jun J Mao
Journal:  Cancer       Date:  2015-05-26       Impact factor: 6.860

9.  Psychosocial adjustment among cancer survivors: findings from a national survey of health and well-being.

Authors:  Erin S Costanzo; Carol D Ryff; Burton H Singer
Journal:  Health Psychol       Date:  2009-03       Impact factor: 4.267

10.  Creation and Implementation of an Environmental Scan to Assess Cancer Genetics Services at Three Oncology Care Settings.

Authors:  Erica M Bednar; Michael T Walsh; Ellen Baker; Kimberly I Muse; Holly D Oakley; Rebekah C Krukenberg; Cara S Dresbold; Sandra B Jenkinson; Amanda L Eppolito; Kelly B Teed; Molly H Klein; Nichole A Morman; Elizabeth C Bowdish; Pauline Russ; Emaline E Wise; Julia N Cooper; Michael W Method; John W Henson; Andrew V Grainger; Banu K Arun; Karen H Lu
Journal:  J Genet Couns       Date:  2018-05-16       Impact factor: 2.537

View more
  2 in total

1.  The HealthStreet Cancer Survivor Cohort: a Community Registry for Cancer Research.

Authors:  Ting-Yuan David Cheng; Piyush V Chaudhari; Kevin R Bitsie; Catherine W Striley; Deepthi S Varma; Linda B Cottler
Journal:  J Cancer Surviv       Date:  2022-01-28       Impact factor: 4.062

2.  Identifying and describing cancer survivors: Implications for cancer survivorship research and clinical care.

Authors:  Michelle Doose; Michelle A Mollica; Deanna J Attai; Shelley Fuld Nasso; Joanne W Elena; Paul B Jacobsen; Emily S Tonorezos; Larissa Nekhlyudov
Journal:  Cancer       Date:  2021-10-01       Impact factor: 6.921

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.