Lisa C. Richardson
Centers for Disease Control and Prevention
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Publication
Featured researches published by Lisa C. Richardson.
Nature Reviews Clinical Oncology | 2005
Lisa C. Richardson; Lori A. Pollack
Although type 2 diabetes and cancer are major health concerns among the adult population, few studies have directly addressed the relationship between the two, or the impact of diabetes on cancer outcomes. Diabetes and hyperglycemia are associated with an elevated risk of developing pancreatic, liver, colon, breast, and endometrial cancer. When treating cancer patients who have diabetes, clinicians must consider the cardiac, renal, and neurologic complications commonly associated with diabetes. Chemotherapeutic choices and, ultimately, the outcome for cancers may be affected by the avoidance of agents that have been shown to provide the best clinical response and survival in cancer patients without other disease complications. Evidence from population-based studies and clinical trials indicate that hyperglycemic and diabetic patients experience higher mortality and recurrence rates after diagnosis with, and treatment for, cancer. Evidence from the intensive care literature indicates that achieving glucose control leads to better clinical outcomes. If so, continued improvement of cancer outcomes may depend upon improved diabetes control. The association between diabetes and cancer is complex and warrants further study as the general population ages and the magnitude of both health problems continues to grow. Here we consider the influence of diabetes and hyperglycemia on the development, treatment, and long-term outcomes of cancer.
Morbidity and Mortality Weekly Report | 2017
Arica White; Trevor D. Thompson; Mary C. White; Susan A. Sabatino; Janet S. de Moor; Paul V. Doria-Rose; Ann M. Geiger; Lisa C. Richardson
Healthy People 2020 (HP2020) includes objectives to increase screening for breast, cervical, and colorectal cancer (1) as recommended by the U.S. Preventive Services Task Force (USPSTF).* Progress toward meeting these objectives is monitored by measuring cancer screening test use against national targets using data from the National Health Interview Survey (NHIS) (1). Analysis of 2015 NHIS data indicated that screening test use remains substantially below HP2020 targets for selected cancer screening tests. Although colorectal cancer screening test use increased from 2000 to 2015, no improvements in test use were observed for breast and cervical cancer screening. Disparities exist in screening test use by race/ethnicity, socioeconomic status, and health care access indicators. Increased measures to implement evidence-based interventions and conduct targeted outreach are needed if the HP2020 targets for cancer screening are to be achieved and the disparities in screening test use are to be reduced.
Cancer | 2012
Eric Tai; Natasha Buchanan; Julie S. Townsend; Temeika L. Fairley; Angela R. Moore; Lisa C. Richardson
Adolescents and young adults (AYA) ages 15 to 29 years who are diagnosed with cancer are at risk for long‐term morbidity and mortality associated with treatment of their cancer and the cancer itself. In this article, the authors describe the self‐reported health status of AYA cancer survivors.
Cancer | 2010
Florence K. Tangka; Justin G. Trogdon; Lisa C. Richardson; David H. Howard; Susan A. Sabatino; Eric A. Finkelstein
There has not been a comprehensive analysis of how aggregate cancer costs have changed over time. The authors present 1) updated estimates of the prevalence and total cost of cancer for select payers and how these have changed over the past 2 decades; and 2) for each payer, the distribution of payments by type of service over time to assess whether there have been shifts in cancer treatment settings.
Journal of Clinical Oncology | 2012
Xiao-Cheng Wu; Mary Jo Lund; Gretchen Kimmick; Lisa C. Richardson; Susan A. Sabatino; Vivien W. Chen; Steven T. Fleming; Cyllene R. Morris; Bin Huang; Amy Trentham-Dietz; Joseph Lipscomb
PURPOSE For breast cancer, guidelines direct the delivery of adjuvant systemic therapy on the basis of lymph node status, histology, tumor size, grade, and hormonal receptor status. We explored how race/ethnicity, insurance, census tract-level poverty and education, and hospital Commission on Cancer (CoC) status were associated with the receipt of guideline-concordant adjuvant systemic therapy. METHODS Locoregional breast cancers diagnosed in 2004 (n = 6,734) were from the National Program of Cancer Registries-funded seven-state Patterns of Care study of the Centers for Disease Control and Prevention. Predictors of guideline-concordant (receiving/not receiving) adjuvant systemic therapy, according to National Comprehensive Cancer Network Guidelines, were explored by logistic regression. RESULTS Overall, 35% of women received nonguideline chemotherapy, 12% received nonguideline regimens, and 20% received nonguideline hormonal therapy. Significant predictors of nonguideline chemotherapy included Medicaid insurance (odds ratio [OR], 0.66; 95% CI, 0.50 to 0.86), high-poverty areas (OR, 0.77; 95% CI, 0.62 to 0.96), and treatment at non-CoC hospitals (OR, 0.69; 95% CI, 0.56 to 0.85), with adjustment for age, registry, and clinical variables. Predictors of nonguideline regimens among chemotherapy recipients included lack of insurance (OR, 0.47; 95% CI, 0.25 to 0.92), high-poverty areas (OR, 0.71; 95% CI, 0.51 to 0.97), and low-education areas (OR, 0.65; 95% CI, 0.48 to 0.89) after adjustment. Living in high-poverty areas (OR, 0.78; 95% CI, 0.64 to 0.96) and treatment at non-CoC hospitals (OR, 0.68; 95% CI, 0.55 to 0.83) predicted nonguideline hormonal therapy after adjustment. ORs for poverty, education, and insurance were attenuated in the full models. CONCLUSION Sociodemographic and hospital factors are associated with guideline-concordant use of systemic therapy for breast cancer. The identification of modifiable factors that lead to nonguideline treatment may reduce disparities in breast cancer survival.
Cancer | 2008
C. Brooke Steele; Cheryll J. Cardinez; Lisa C. Richardson; Lillian Tom-Orme; Kate M. Shaw
The authors compared estimates for cancer risk factors, use of cancer screening tests, health status indicators, and access to care for American Indians and Alaska Natives (AI/ANs) and non‐Hispanic whites (NHWs) in the US and for AI/ANs in 6 Indian Health Service regions.
Cancer Causes & Control | 2001
Vicki B. Benard; Nancy C. Lee; Margaret Piper; Lisa C. Richardson
AbstractObjective: To describe differences in cervical screening and biopsy results by race or ethnicity from women in the National Breast and Cervical Cancer Early Detection Program (NBCCEDP). Methods: We examined the percentage of abnormalities detected by Papanicolaou (Pap) tests and the rate of biopsy-diagnosed high-grade precancerous or cancerous lesions by racial or ethnic group. Results: Almost half the 628,085 women screened were members of racial or ethnic minority groups. American Indian or Alaska Native women were more likely than others to report never having had a prior Pap test. American Indian or Alaska Native women had the highest proportion of abnormal Pap tests for first program screens (4.4%), followed by blacks (3.2%), whites (3.0%), Hispanics (2.7%), and Asians or Pacific Islanders (1.9%). Whites had the highest biopsy detection rate of high-grade lesions for first program screens (9.9 per 1000 Pap tests), followed by Hispanics (7.6), blacks (7.1), American Indians or Alaska Natives (6.7), and Asians or Pacific Islanders (5.4). Conclusions: This program provides important data on the prevalence of cervical neoplasia among diverse populations. Our findings that black women with a high-grade Pap test were less likely to get a work-up are disconcerting and merit further study and ultimate correction.
Cancer | 2006
Lydia Voti; Lisa C. Richardson; Isildinha M. Reis; Lora E. Fleming; Jill MacKinnon; Jan Willem Coebergh
Breast‐conserving surgery combined with radiation (BCSR) is the recommended alternative treatment to mastectomy for local breast carcinoma. However, limited access to healthcare may result in more extensive surgical treatment. The effect of distance to radiation therapy facilities on the likelihood of receiving BCSR was examined in Florida.
Oncologist | 2015
Sharyl J. Nass; Lynda Kwon Beaupin; Wendy Demark-Wahnefried; Karen Fasciano; Patricia A. Ganz; Brandon Hayes-Lattin; Melissa M. Hudson; Nevidjon B; Kevin C. Oeffinger; Ruth Rechis; Lisa C. Richardson; Nita L. Seibel; Ashley Wilder Smith
Cancer is the leading disease-related cause of death in adolescents and young adults (AYAs). This population faces many short- and long-term health and psychosocial consequences of cancer diagnosis and treatment, but many programs for cancer treatment, survivorship care, and psychosocial support do not focus on the specific needs of AYA cancer patients. Recognizing this health care disparity, the National Cancer Policy Forum of the Institute of Medicine convened a public workshop to examine the needs of AYA patients with cancer. Workshop participants identified many gaps and challenges in the care of AYA cancer patients and discussed potential strategies to address these needs. Suggestions included ways to improve access to care for AYAs, to deliver cancer care that better meets the medical and psychosocial needs of AYAs, to develop educational programs for providers who care for AYA cancer survivors, and to enhance the evidence base for AYAs with cancer by facilitating participation in research.
American Journal of Public Health | 2010
Lisa C. Richardson; Janet Royalty; William Howe; William Helsel; William Kammerer; Vicki B. Benard
OBJECTIVES To determine the effects of program policy changes, we examined service delivery benchmarks for breast cancer screening in the National Breast and Cervical Cancer Early Detection Program (NBCCEDP). METHODS We analyzed NBCCEDP data for women with abnormal mammogram or clinical breast examination (n=382 416) from which 23 701 cancers were diagnosed. We examined time to diagnosis and treatment for 2 time periods: 1996 to 2000 and 2001 to 2005. We compared median time for diagnostic, treatment initiation, and total intervals with the Kruskal-Wallis test. We calculated adjusted proportions (predicted marginals) with logistic regression to examine diagnosis and treatment within program benchmarks (<or=60 days) and time from screening to treatment (<or=120 days). RESULTS Median diagnostic intervals decreased by 2 days (25 vs 23; P<.001). Median treatment initiation intervals increased by 2 days (12 vs 14; P<.001). Total intervals decreased by 3 days (43 vs 40; P<.001). Women meeting the 60-day benchmark for diagnosis improved the most for women with normal mammograms and abnormal clinical breast examinations from 77% to 82%. CONCLUSIONS Women screened by the NBCCEDP received diagnostic follow-up and initiated treatment within preestablished program guidelines.