Literature DB >> 31828493

The role of comorbidity assessment in guiding treatment decision-making for women with early breast cancer: a systematic literature review.

Stephanie Webster1, Sharon Lawn2, Raymond Chan3, Bogda Koczwara4.   

Abstract

PURPOSE: Comorbidity in breast cancer patients impacts treatment choice, toxicity, and outcomes. While comorbidity measurement tools are frequently used by researchers, little is known about their use in clinical practice. The aim of this review was to examine the use of comorbidity measurement tools in clinical practice and their role in treatment decision-making in breast cancer.
METHODS: Six electronic databases were searched from inception to 21 March 2019. Quantitative or mixed methods studies addressing primary treatment of breast cancer and identifying a comorbidity measurement tool used in clinical practice treatment decision-making were included. Data was extracted on tool utilized, impact on treatment decisions or outcomes, pattern of use, and psychometric properties.
RESULTS: A systematic search of literature yielded 752 studies. Of the four studies that met inclusion criteria, each utilized a comprehensive geriatric assessment tool, though only in a subset of patients. No studies found direct comorbidity measurement tools utilized independently of geriatric assessment. Assessment results had variable impact on treatment decisions. Impacts on patient mortality and treatment toxicity, cost-effectiveness, and psychometric characteristics of the tools were not identified.
CONCLUSIONS: There is little evidence on use of specific comorbidity tools in clinical decision-making in breast cancer outside of comorbidity assessment as part of geriatric assessment tools. There was limited impact on decision-making or patient outcomes when these were utilized. Further research is needed to identify barriers to comorbidity assessment in clinical practice and identify comorbidity tools that have the potential to improve patient outcomes.

Entities:  

Keywords:  Breast cancer; Comorbidity; Measurement; Treatment decisions

Mesh:

Year:  2019        PMID: 31828493     DOI: 10.1007/s00520-019-05218-w

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  37 in total

Review 1.  Comorbidity and functional status in older women with breast cancer: implications for screening, treatment, and prognosis.

Authors:  W A Satariano
Journal:  J Gerontol       Date:  1992-11

2.  Validity of medication-based co-morbidity indices in the Australian elderly population.

Authors:  Agnes Vitry; Soo Ann Wong; Elizabeth E Roughead; Emmae Ramsay; John Barratt
Journal:  Aust N Z J Public Health       Date:  2009-04       Impact factor: 2.939

3.  Adverse drug reactions and drug interactions as causes of hospital admission in oncology.

Authors:  Vanessa Miranda; Angelo Fede; Melissa Nobuo; Veronica Ayres; Auro Giglio; Michele Miranda; Rachel P Riechelmann
Journal:  J Pain Symptom Manage       Date:  2011-03-31       Impact factor: 3.612

4.  Screening tools for multidimensional health problems warranting a geriatric assessment in older cancer patients: an update on SIOG recommendations†.

Authors:  L Decoster; K Van Puyvelde; S Mohile; U Wedding; U Basso; G Colloca; S Rostoft; J Overcash; H Wildiers; C Steer; G Kimmick; R Kanesvaran; A Luciani; C Terret; A Hurria; C Kenis; R Audisio; M Extermann
Journal:  Ann Oncol       Date:  2014-06-16       Impact factor: 32.976

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.  Comorbidity risk parameters associated with advanced breast cancer and systemic disease. Management of nonbreast disease.

Authors:  T A Graves; K I Bland
Journal:  Surg Oncol Clin N Am       Date:  1995-10       Impact factor: 3.495

Review 7.  Influence of comorbidity on chemotherapy use for early breast cancer: systematic review and meta-analysis.

Authors:  Melissa J Edwards; Ian D Campbell; Ross A Lawrenson; Marion J Kuper-Hommel
Journal:  Breast Cancer Res Treat       Date:  2017-05-20       Impact factor: 4.872

Review 8.  Comorbidities and Their Management: Potential Impact on Breast Cancer Outcomes.

Authors:  Chi-Chen Hong; Christine B Ambrosone; Pamela J Goodwin
Journal:  Adv Exp Med Biol       Date:  2015       Impact factor: 2.622

9.  A comprehensive geriatric intervention detects multiple problems in older breast cancer patients.

Authors:  Martine Extermann; Julie Meyer; Margaret McGinnis; Theresa T Crocker; Mary Beth Corcoran; Jerry Yoder; William E Haley; Hongbin Chen; David Boulware; Lodovico Balducci
Journal:  Crit Rev Oncol Hematol       Date:  2004-01       Impact factor: 6.312

10.  The impact of comorbidity on the overall survival and the cause of death in patients after colorectal cancer resection.

Authors:  Ralf Joachim Rieker; Eva Hammer; Roland Eisele; Eberhardt Schmid; Josef Högel
Journal:  Langenbecks Arch Surg       Date:  2002-04-30       Impact factor: 3.445

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  4 in total

1.  Impact of comorbidities on physical function and survival of middle-aged, as compared to older, individuals with cancer.

Authors:  Bogda Koczwara; Laura Deckx; Shahid Ullah; Marjan van den Akker
Journal:  Support Care Cancer       Date:  2021-09-22       Impact factor: 3.359

2.  A Competing Risk Analysis Model to Determine the Prognostic Value of Isolated Tumor Cells in Axillary Lymph Nodes for T1N0M0 Breast Cancer Patients Based on the Surveillance, Epidemiology, and End Results Database.

Authors:  Yijun Li; Huimin Zhang; Wei Zhang; Yu Ren; Yan Qiao; Kunlong Li; Heyan Chen; Shengyu Pu; Jianjun He; Can Zhou
Journal:  Front Oncol       Date:  2020-09-18       Impact factor: 6.244

3.  β-Catenin-CCL2 feedback loop mediates crosstalk between cancer cells and macrophages that regulates breast cancer stem cells.

Authors:  Fan Zhang; Pan Li; Shuang Liu; Mingqiang Yang; Shanshan Zeng; Junjian Deng; Danyang Chen; Yanmei Yi; Hao Liu
Journal:  Oncogene       Date:  2021-08-03       Impact factor: 9.867

4.  Formosanin C promotes the curative efficacy of ultrasound-guided radiofrequency ablation in a mouse model of breast cancer.

Authors:  Zhe Chen; Jing Li; Qianqian Cui; Fuyuan Li; Gaiying Zhang
Journal:  Oncol Lett       Date:  2021-05-24       Impact factor: 2.967

  4 in total

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