The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Characteristics Associated With Differences in Survival Among Black and White Women With Breast Cancer
Open accessAbstract
IMPORTANCE: Difference in breast cancer survival by race is a recognized problem among Medicare beneficiaries. OBJECTIVE: To determine if racial disparity in breast cancer survival is primarily attributable to differences in presentation characteristics at diagnosis or subsequent treatment. DESIGN, SETTING, AND PATIENTS: Comparison of 7375 black women 65 years and older diagnosed between 1991 to 2005 and 3 sets of 7375 matched white control patients selected from 99,898 white potential controls, using data for 16 US Surveillance, Epidemiology and End Results (SEER) sites in the SEER-Medicare database. All patients received follow-up through December 31, 2009, and the black case patients were matched to 3 white control populations on demographics (age, year of diagnosis, and SEER site), presentation (demographics variables plus patient comorbid conditions and tumor characteristics such as stage, size, grade, and estrogen receptor status), and treatment (presentation variables plus details of surgery, radiation therapy, and chemotherapy). MAIN OUTCOMES AND MEASURES: 5-Year survival. RESULTS: The absolute difference in 5-year survival (blacks, 55.9%; whites, 68.8%) was 12.9% (95% CI, 11.5%-14.5%; P < .001) in the demographics match. This difference remained unchanged between 1991 and 2005. After matching on presentation characteristics, the absolute difference in 5-year survival was 4.4% (95% CI, 2.8%-5.8%; P < .001) and was 3.6% (95% CI, 2.3%-4.9%; P < .001) lower for blacks than for whites matched also on treatment. In the presentation match, fewer blacks received treatment (87.4% vs 91.8%; P < .001), time from diagnosis to treatment was longer (29.2 vs 22.8 days; P < .001), use of anthracyclines and taxols was lower (3.7% vs 5.0%; P < .001), and breast-conserving surgery without other treatment was more frequent (8.2% vs 7.3%; P = .04). Nevertheless, differences in survival associated with treatment differences accounted for only 0.81% of the 12.9% survival difference. CONCLUSIONS AND RELEVANCE: In the SEER-Medicare database, differences in breast cancer survival between black and white women did not substantially change among women diagnosed between 1991 and 2005. These differences in survival appear primarily related to presentation characteristics at diagnosis rather than treatment differences.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
Self-citationAdapting 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
The Statistical Analysis of Failure Time Data.
Aitkin, M., Kalbfleisch, J. D., & Prentice, R. L. (1981) · Biometrics · doi:10.2307/2530581 · Cited by 9,877
Nonparametric Statistical Methods
(1999) · Technometrics · doi:10.1080/00401706.1999.10485954 · Cited by 6,090
Efron, B., & Tibshirani, R. (1986) · Statistical Science · doi:10.1214/ss/1177013815 · Cited by 6,033
Discrete Multivariate Analysis: Theory and Practice.
Beniger, J. R., Bishop, Y. M. M., Feinberg, S. E., Holland, P. W., Light, R. J., & Mosteller, F. (1975) · Contemporary Sociology · doi:10.2307/2063625 · Cited by 5,108
Rosenbaum, P. R., & Rubin, D. B. (1985) · The American Statistician · doi:10.2307/2683903 · Cited by 4,774
Self-citationRace, Breast Cancer Subtypes, and Survival in the Carolina Breast Cancer Study
Carey, L. A., Perou, C. M., Livasy, C. A., Dressler, L. G., Cowan, D., Conway, K., Karaca, G., Troester, M. A., Tse, C. K., Edmiston, S., et al. (2006) · JAMA · doi:10.1001/jama.295.21.2492 · Cited by 3,819
Nonparametric Statistical Methods.
Knott, M., Hollander, M., & Wolfe, D. A. (1974) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344557 · Cited by 2,662
Cited by
Correspondence - Tranexamic acid for traumatic brain injury
(2005) · London School of Economics and Political Science Theses Online (London School of Economics and Political Science) · doi:10.1016/s0140-6736 · Cited by 11,894
Breast cancer statistics, 2015: Convergence of incidence rates between black and white women
DeSantis, C. E., Fedewa, S. A., Goding Sauer, A., Kramer, J. L., Smith, R. A., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21320 · Cited by 1,252
The global burden of women's cancers: a grand challenge in global health
Ginsburg, O., Bray, F., Coleman, M. P., Vanderpuye, V., Eniu, A., Kotha, S. R., Sarker, M., Huong, T. T., Allemani, C., Dvaladze, A., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(16)31392-7 · Cited by 1,127
Breast Cancer Epidemiology, Prevention, and Screening
Winters, S., Martin, C., Murphy, D., & Shokar, N. K. (2017) · Progress in Molecular Biology and Translational Science · doi:10.1016/bs.pmbts.2017.07.002 · Cited by 667
Iqbal, J., Ginsburg, O., Rochon, P. A., Sun, P., & Narod, S. A. (2015) · JAMA · doi:10.1001/jama.2014.17322 · Cited by 614
Metadata
- Authors
- Silber, J. H., Rosenbaum, P. R., Clark, A. S., Giantonio, B. J., Ross, R. N., Teng, Y., Wang, M., Niknam, B. A., Ludwig, J. M., Wang, W., Even-Shoshan, O., & Fox, K. R.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2013-07-24
- Volume
- 310
- Issue
- 4
- Pages
- 389
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2166846975
- Cited by
- 305
- References
- 50
- FWCI
- 17.71
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Characteristics Associated With Differences in Survival Among Black and White Women With Breast Cancer. https://app.cochat.ai/papers/10.1001/jama.2013.8272
- The paper
- Silber, J. H., Rosenbaum, P. R., Clark, A. S., Giantonio, B. J., Ross, R. N., Teng, Y., Wang, M., Niknam, B. A., Ludwig, J. M., Wang, W., Even-Shoshan, O., & Fox, K. R. (2013). Characteristics Associated With Differences in Survival Among Black and White Women With Breast Cancer. JAMA. https://doi.org/10.1001/jama.2013.8272
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.