The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Racial disparities and treatment trends in a large cohort of elderly black and white patients with nonsmall cell lung cancer
Open accessAbstract
BACKGROUND: This study investigated whether there was a significant gap in receipt of treatment for nonsmall cell lung cancer (NSCLC) between blacks and whites, and whether the gap or disparity changed during the past 12 years from 1991 to 2002. METHODS: The study population consisted of 83,101 patients including 75,141 (90.4%) whites and 7960 (9.6%) blacks aged ≥65 years who were diagnosed with American Joint Committee on Cancer (AJCC) stages I‐IV NSCLC identified from the Surveillance, Epidemiology, and End Results (SEER) program's Medicare database. Age‐adjusted and sex‐adjusted rates and crude and adjusted odds ratios for receiving appropriate stage‐specific treatment of NSCLC were reported. RESULTS: For stages I‐II NSCLC combined, blacks were 37% less likely (OR, 0.63; 95% confidence interval [CI], 0.55‐0.73) to receive surgery, 42% less likely (OR, 0.58; 95% CI, 0.36‐0.92) to receive chemotherapy, and for stages III‐IV combined, 57% less likely (OR, 0.43; 95% CI, 0.30‐0.61) to receive chemotherapy compared with whites. Older patients, women, and those in lower socioeconomic quartiles had greater disparities in receipt of treatment compared with the highest income quartile. Disparity trends were not significantly narrowed during the past 12 years between blacks and whites for receipt of the above treatments. CONCLUSIONS: There have been substantial disparities in receiving recommended treatments between blacks and whites, and these disparities have been relatively stable without a significant trend of narrowing during the past 12 years. Efforts should focus on providing appropriate quality treatment and educating blacks on the value of having these treatments to reduce these disparities in receipt of treatment for NSCLC. Cancer 2009. © 2009 American Cancer Society.
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“The results show that disparities in race,128–131 sex,132 socioeconomic status,132–135 level of education,136 residence,128,136 and insurance status,137–139 among other factors, continue to be associated with outcomes such as mortality,128,140 incidence,137,140 stage at diagnosis, and timely receipt of recommended treatment129,131 for patients with NSCLC.”
From Systemic Therapy for Stage IV Non–Small-Cell Lung Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update (2015) · cites this paper as [128]
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Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742
Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
DEYO, R. (1992) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(92)90133-8 · Cited by 10,452
International Statistical Classification of Diseases and Related Health Problems
(2010) · Springer eBooks · doi:10.1007/978-0-387-79948-3_3055 · Cited by 4,182
Early Lung Cancer Action Project: overall design and findings from baseline screening
Henschke, C. I., McCauley, D. I., Yankelevitz, D. F., Naidich, D. P., McGuinness, G., Miettinen, O. S., Libby, D. M., Pasmantier, M. W., Koizumi, J. H., Altorki, N. K., et al. (1999) · The Lancet · doi:10.1016/s0140-6736(99)06093-6 · Cited by 2,504
Development of a comorbidity index using physician claims data
Klabunde, C. N., Potosky, A. L., Legler, J. M., & Warren, J. L. (2000) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00256-0 · Cited by 1,846
Romano, P. S., Roos, L. L., & Jollis, J. G. (1993) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(93)90103-8 · Cited by 1,717
Racial Differences in the Treatment of Early-Stage Lung Cancer
Bach, P. B., Cramer, L. D., Warren, J. L., & Begg, C. B. (1999) · New England Journal of Medicine · doi:10.1056/nejm199910143411606 · Cited by 995
(2016) · Elsevier eBooks · doi:10.1016/b978-0-323-37753-9.50111-0 · Cited by 859
Utility of the SEER-Medicare Data to Identify Chemotherapy Use
Warren, J. L., Harlan, L. C., Fahey, A., Virnig, B. A., Freeman, J. L., Klabunde, C. N., Cooper, G. S., & Knopf, K. (2002) · Medical Care · doi:10.1097/00005650-200208001-00008 · Cited by 404
β-catenin mutation and overexpression in hepatocellular carcinoma
Wong, C., Fan, S. T., & Ng, I. O. (2001) · Cancer · doi:10.1002/1097-0142(20010701)92:1 · Cited by 353
Flagged first, then by citations
Research works printed but not linked: 4
- American Cancer Society, 2007, Cancer facts and figures for African Americans 2007‐2008
- American Cancer Society, 2008, Cancer statistics 2008
- SEER program: Overview, 2008, Surveillance Research program
- National Cancer Institute. The SEER program code manual. rev. ed, 1994, Cancer Statistic Branch, National Cancer Institute, National Institute of Health
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Bade, B. C., & Cruz, C. S. D. (2020) · Clinics in Chest Medicine · doi:10.1016/j.ccm.2019.10.001 · Cited by 2,023
Masters, G. A., Temin, S., Azzoli, C. G., Giaccone, G., Baker, S., Brahmer, J. R., Ellis, P. M., Gajra, A., Rackear, N., Schiller, J. H., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.62.1342 · Cited by 850
Desantis, C. E., Siegel, R. L., Sauer, A. G., Miller, K. D., Fedewa, S. A., Alcaraz, K. I., & Jemal, A. (2016) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21340 · Cited by 789
Cancer statistics for African American/Black People 2022
Giaquinto, A. N., Miller, K. D., Tossas, K. Y., Winn, R. A., Jemal, A., & Siegel, R. L. (2022) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21718 · Cited by 591
Lu, T., Yang, X., Huang, Y., Zhao, M., Li, M., Ma, K., Yin, J., Zhan, C., & Wang, Q. (2019) · Cancer Management and Research · doi:10.2147/cmar.s187317 · Cited by 565
Metadata
- Authors
- Hardy, D., Liu, C., Xia, R., Cormier, J. N., Chan, W., White, A., Burau, K., & Du, X. L.
- Affiliations
- The University of Texas MD Anderson Cancer Center (US)
- Corresponding author
- Hardy, Dale
- Venue
- Cancer
- Publisher
- Wiley
- Published
- 2009-04-28
- Volume
- 115
- Issue
- 10
- Pages
- 2199-2211
- ISSN
- 0008-543X (ISSN-L)
- 1097-0142
- OpenAlex
- W2084671951
- Cited by
- 126
- References
- 32
- Citations by year
- 2025: 2 · 2024: 5 · 2023: 5 · 2022: 9 · 2021: 6 · 2020: 5 · 2019: 12 · 2018: 8 · 2017: 7 · 2016: 8 · 2015: 11 · 2014: 15 · 2013: 13 · 2012: 7
- FWCI
- 5.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cancer (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Agency for Healthcare Research and Quality (RO1-HS016743)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
- Social Sciences › Health › Health disparities and outcomes
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Keywords
- racial disparities, non-small cell lung cancer, elderly patients, black-white disparities, treatment receipt, chemotherapy, socioeconomic status, Medicare beneficiaries, SEER, treatment trends
- MeSH terms
- Aged, 80 and over, Carcinoma, Non-Small-Cell Lung, Female, Humans, Lung Neoplasms, Male, Socioeconomic Factors, SEER Program, Black People, White People, Healthcare Disparities
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