Literature DB >> 30406364

Survivorship care visits in a high-risk population of breast cancer survivors.

Sarah J Skuli1,2, Jennifer Y Sheng1,3, Elissa T Bantug3, Nelli Zafman3, Carol Riley3, Jessica M Ruck1, Katherine C Smith4,3, Claire F Snyder1,4,3, Karen L Smith1,3, Vered Stearns1,3, Antonio C Wolff5,6.   

Abstract

PURPOSE: Breast cancer survivors face numerous challenges after diagnosis and treatment. Several models have been developed to attempt to improve quality of care. Here, we describe characteristics and outcomes of patients who participated in survivorship visits (SV) at Johns Hopkins (JH).
METHODS: We retrospectively reviewed charts of breast cancer patients who participated in an optional SV 1-3 months after completing locoregional therapy and initial systemic therapy. We report patient demographics, comorbidities, tumor characteristics, treatments, and responses to symptom questionnaires. We compared the characteristics of SV participants to stage I-III analytical cases in the 2010-2015 JH Cancer Registry (JHCR).
RESULTS: We identified 87 women with stage I-III breast cancer who participated in SVs from 2010 to 2016. Compared to patients in the JHCR (n = 2942), SV participants were younger, more likely to be African American and more likely to have a higher TNM stage, hormone receptor-negative disease, and HER2-positive disease. They were more likely to have received chemotherapy and radiation therapy. They also have similar recurrence rates despite the SV cohort's shorter median follow-up time. Among SV participants, the prevalence of comorbidities including peripheral neuropathy, anemia, lymphedema, anxiety, deep vein thrombosis, and depression increased significantly from time of diagnosis to most recent follow-up.
CONCLUSIONS: Compared to the JHCR cohort, SV participants had higher risk cancers and a high frequency of comorbidities potentially associated with breast cancer and therapy. These high-risk patients may benefit most from specific interventions targeting survivorship care, and their experiences may help improve care delivery models.

Entities:  

Keywords:  Breast cancer; High-risk; Survivorship; Survivorship visits

Mesh:

Year:  2018        PMID: 30406364      PMCID: PMC8147582          DOI: 10.1007/s10549-018-5028-z

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  18 in total

1.  Quality of care and cancer survivorship: the challenge of implementing the institute of medicine recommendations.

Authors:  Patricia A Ganz
Journal:  J Oncol Pract       Date:  2009-05       Impact factor: 3.840

2.  Predicting physical quality of life among a multiethnic sample of breast cancer survivors.

Authors:  Kimlin T Ashing-Giwa; Jung-Won Lim
Journal:  Qual Life Res       Date:  2010-03-27       Impact factor: 4.147

3.  Outcomes and satisfaction after delivery of a breast cancer survivorship care plan: results of a multicenter trial.

Authors:  Steven C Palmer; Carrie Tompkins Stricker; SarahLena L Panzer; Sarah A Arvey; K Scott Baker; Jackie Casillas; Patricia A Ganz; Mary S McCabe; Larissa Nekhlyudov; Linda Overholser; Ann H Partridge; Betsy Risendal; Donald L Rosenstein; Karen L Syrjala; Linda A Jacobs
Journal:  J Oncol Pract       Date:  2015-03       Impact factor: 3.840

4.  Systematic approach to providing breast cancer survivors with survivorship care plans: a feasibility study.

Authors:  Kaleigh J Bulloch; Melinda L Irwin; Anees B Chagpar; Lajos Pusztai; Brigid K Killelea; Nina R Horowitz; Erin W Hofstatter; Maysa M Abu-Khalaf; Michael DiGiovanna; Gina G Chung; Tara B Sanft
Journal:  J Oncol Pract       Date:  2015-03       Impact factor: 3.840

5.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

Review 6.  Novel approaches to support breast cancer survivorship care models.

Authors:  Kelly C Gast; Summer V Allen; Kathryn J Ruddy; Tufia C Haddad
Journal:  Breast       Date:  2017-08-29       Impact factor: 4.380

7.  Evaluating survivorship care plans: results of a randomized, clinical trial of patients with breast cancer.

Authors:  Eva Grunfeld; Jim A Julian; Gregory Pond; Elizabeth Maunsell; Douglas Coyle; Amy Folkes; Anil A Joy; Louise Provencher; Daniel Rayson; Dorianne E Rheaume; Geoffrey A Porter; Lawrence F Paszat; Kathleen I Pritchard; André Robidoux; Sally Smith; Jonathan Sussman; Susan Dent; Jeffrey Sisler; Jennifer Wiernikowski; Mark N Levine
Journal:  J Clin Oncol       Date:  2011-10-31       Impact factor: 44.544

8.  Patient-centered support in the survivorship care transition: Outcomes from the Patient-Owned Survivorship Care Plan Intervention.

Authors:  Elizabeth A Kvale; Chao-Hui Sylvia Huang; Karen M Meneses; Wendy Demark-Wahnefried; Sejong Bae; Casey B Azuero; Gabrielle B Rocque; Kerri S Bevis; Christine S Ritchie
Journal:  Cancer       Date:  2016-07-07       Impact factor: 6.860

9.  Correlates of quality of life among African American and white cancer survivors.

Authors:  Alicia K Matthews; Silvia Tejeda; Timothy P Johnson; Michael L Berbaum; Clara Manfredi
Journal:  Cancer Nurs       Date:  2012 Sep-Oct       Impact factor: 2.592

Review 10.  Depression and anxiety in long-term cancer survivors compared with spouses and healthy controls: a systematic review and meta-analysis.

Authors:  Alex J Mitchell; David W Ferguson; John Gill; Jim Paul; Paul Symonds
Journal:  Lancet Oncol       Date:  2013-06-05       Impact factor: 41.316

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Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

2.  The impact of monitoring techniques on progression to chronic breast cancer-related lymphedema: a meta-analysis comparing bioimpedance spectroscopy versus circumferential measurements.

Authors:  Chirag Shah; April Zambelli-Weiner; Nicole Delgado; Ashley Sier; Robert Bauserman; Jerrod Nelms
Journal:  Breast Cancer Res Treat       Date:  2020-11-27       Impact factor: 4.872

3.  Clinical importance of serum secreted clusterin in predicting invasive breast cancer and treatment responses.

Authors:  Qing-Feng Chen; Lei Chang; Qun Su; Ying Zhao; Bin Kong
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

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