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      Preexisting Diabetes and Breast Cancer Treatment Among Low-Income Women

      research-article
      , MPH, PhD 1 , , MD, PhD 2 , 3 , , PhD 4 , , PhD 5 , , MPH, PhD 1 , , MD, PhD 1 , 2 ,
      JAMA Network Open
      American Medical Association

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          Abstract

          This cohort study evaluates the associations of preexisting diabetes with radiotherapy, chemotherapy, and endocrine therapy in low-income women with breast cancer.

          Key Points

          Question

          Is preexisting diabetes associated with utilization, timely initiation, adherence, persistence and continuation, and/or completion of adjuvant therapies in low-income women with breast cancer?

          Findings

          In a population-based cohort of 3704 Medicaid-insured women (aged <65 years) with breast cancer, diabetes was associated with lower likelihoods of radiotherapy use, chemotherapy use and completion, and endocrine therapy adherence. There were no significant differences in utilization and persistence of endocrine therapy, timely initiation of radiotherapy and chemotherapy, or completion of radiotherapy between women with and without diabetes.

          Meaning

          These findings suggest interventions optimizing diabetes management during breast cancer treatment may also improve cancer care for low-income patients.

          Abstract

          IMPORTANCE

          Diabetes is associated with poorer prognosis of patients with breast cancer. The association between diabetes and adjuvant therapies for breast cancer remains uncertain.

          OBJECTIVE

          To comprehensively examine the associations of preexisting diabetes with radiotherapy, chemotherapy, and endocrine therapy in low-income women with breast cancer.

          DESIGN, SETTING, AND PARTICIPANTS

          This population-based cohort study included women younger than 65 years diagnosed with nonmetastatic breast cancer from 2007 through 2015, followed up through 2016, continuously enrolled in Medicaid, and identified from the linked Missouri Cancer Registry and Medicaid claims data set. Data were analyzed from January 2022 to October 2023.

          EXPOSURE

          Preexisting diabetes.

          MAIN OUTCOMES AND MEASURES

          Logistic regression was used to estimate odds ratios (ORs) of utilization (yes/no), timely initiation (≤90 days postsurgery), and completion of radiotherapy and chemotherapy, as well as adherence (medication possession ratio ≥80%) and persistence (<90–consecutive day gap) of endocrine therapy in the first year of treatment for women with diabetes compared with women without diabetes. Analyses were adjusted for sociodemographic and tumor factors.

          RESULTS

          Among 3704 women undergoing definitive surgery, the mean (SD) age was 51.4 (8.6) years, 1038 (28.1%) were non-Hispanic Black, 2598 (70.1%) were non-Hispanic White, 765 (20.7%) had a diabetes history, 2369 (64.0%) received radiotherapy, 2237 (60.4%) had chemotherapy, and 2505 (67.6%) took endocrine therapy. Compared with women without diabetes, women with diabetes were less likely to utilize radiotherapy (OR, 0.67; 95% CI, 0.53-0.86), receive chemotherapy (OR, 0.67; 95% CI, 0.48-0.93), complete chemotherapy (OR, 0.71; 95% CI, 0.50-0.99), and be adherent to endocrine therapy (OR, 0.71; 95% CI, 0.56-0.91). There were no significant associations of diabetes with utilization (OR, 0.95; 95% CI, 0.71-1.28) and persistence (OR, 1.09; 95% CI, 0.88-1.36) of endocrine therapy, timely initiation of radiotherapy (OR, 1.09; 95% CI, 0.86-1.38) and chemotherapy (OR, 1.09; 95% CI, 0.77-1.55), or completion of radiotherapy (OR, 1.25; 95% CI, 0.91-1.71).

          CONCLUSIONS AND RELEVANCE

          In this cohort study, preexisting diabetes was associated with subpar adjuvant therapies for breast cancer among low-income women. Improving diabetes management during cancer treatment is particularly important for low-income women with breast cancer who may have been disproportionately affected by diabetes and are likely to experience disparities in cancer treatment and outcomes.

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          Most cited references48

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          Cancer statistics, 2023

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries and mortality data collected by the National Center for Health Statistics. In 2023, 1,958,310 new cancer cases and 609,820 cancer deaths are projected to occur in the United States. Cancer incidence increased for prostate cancer by 3% annually from 2014 through 2019 after two decades of decline, translating to an additional 99,000 new cases; otherwise, however, incidence trends were more favorable in men compared to women. For example, lung cancer in women decreased at one half the pace of men (1.1% vs. 2.6% annually) from 2015 through 2019, and breast and uterine corpus cancers continued to increase, as did liver cancer and melanoma, both of which stabilized in men aged 50 years and older and declined in younger men. However, a 65% drop in cervical cancer incidence during 2012 through 2019 among women in their early 20s, the first cohort to receive the human papillomavirus vaccine, foreshadows steep reductions in the burden of human papillomavirus-associated cancers, the majority of which occur in women. Despite the pandemic, and in contrast with other leading causes of death, the cancer death rate continued to decline from 2019 to 2020 (by 1.5%), contributing to a 33% overall reduction since 1991 and an estimated 3.8 million deaths averted. This progress increasingly reflects advances in treatment, which are particularly evident in the rapid declines in mortality (approximately 2% annually during 2016 through 2020) for leukemia, melanoma, and kidney cancer, despite stable/increasing incidence, and accelerated declines for lung cancer. In summary, although cancer mortality rates continue to decline, future progress may be attenuated by rising incidence for breast, prostate, and uterine corpus cancers, which also happen to have the largest racial disparities in mortality.
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            The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies.

            Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study's generalisability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control, and cross-sectional studies. We convened a 2-day workshop in September 2004, with methodologists, researchers, and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles. 18 items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies. A detailed Explanation and Elaboration document is published separately and is freely available on the Web sites of PLoS Medicine, Annals of Internal Medicine, and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies.
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              Social determinants of breast cancer risk, stage, and survival

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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                8 May 2024
                May 2024
                8 May 2024
                : 7
                : 5
                : e249548
                Affiliations
                [1 ]Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, Missouri
                [2 ]Alvin J. Siteman Cancer Center, Washington University School of Medicine, St Louis, Missouri
                [3 ]Division of General Medical Sciences, Department of Medicine, Washington University School of Medicine, St Louis, Missouri
                [4 ]Department of Health Management and Informatics, University of Missouri School of Medicine, Columbia
                [5 ]Center for Health Policy, University of Missouri, Columbia
                Author notes
                Article Information
                Accepted for Publication: February 26, 2024.
                Published: May 8, 2024. doi:10.1001/jamanetworkopen.2024.9548
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2024 Bekele BB et al. JAMA Network Open.
                Corresponding Author: Ying Liu, MD, PhD, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, 660 Euclid Ave, Campus Box 8100, St Louis, MO 63110 ( yliu3@ 123456wustl.edu ).
                Author Contributions: Dr Liu had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Bekele, Lian, Liu.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Bekele, Liu.
                Critical review of the manuscript for important intellectual content: All authors.
                Statistical analysis: Bekele, Liu.
                Obtained funding: Lian, Liu.
                Administrative, technical, or material support: Lian, Schmaltz, Greever-Rice, Liu.
                Supervision: Liu.
                Conflict of Interest Disclosures: None reported.
                Funding/Support: The study was supported by the National Cancer Institute (R01CA215418) and the American Cancer Society (Denim Days Research Scholar Grant RSG-18-116-01-CPHPS).
                Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Data Sharing Statement: See Supplement 2.
                Article
                zoi240354
                10.1001/jamanetworkopen.2024.9548
                11079686
                38717774
                859eeec1-f930-44cf-8b43-caf6190a7760
                Copyright 2024 Bekele BB et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 5 December 2023
                : 26 February 2024
                Categories
                Research
                Original Investigation
                Online Only
                Oncology

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