The DOI matches its Crossref record.
How Sociodemographics, Presence of Oncology Specialists, and Hospital Cancer Programs Affect Accrual to Cancer Treatment Trials
Abstract
PURPOSE: We chose to examine the impact of socioeconomic factors on accrual to National Cancer Institute (NCI)–sponsored cancer treatment trials. PATIENTS AND METHODS: We estimated the geographic and demographic cancer burden in the United States and then identified 24,332 patients accrued to NCI-sponsored cancer treatment trials during a 12-month period. Next, we examined accrual by age, sex, geographic residence, health insurance status, health maintenance organization market penetration, several proxy measures of socioeconomic status, the availability of an oncologist, and the presence of a hospital with an approved multidisciplinary cancer program. RESULTS: Pediatric patients were accrued to clinical trials at high levels, whereas after adolescence, only a small percentage of cancer patients were enrolled onto clinical trials. There were few differences by sex. Black males as well as Asian-American and Hispanic adults were accrued to clinical trials at lower rates than white cancer patients of the same age. Overall, the highest observed accrual was in suburban counties. Compared with the United States population, patients enrolled onto clinical trials were significantly less likely to be uninsured and more like to have Medicare health insurance. Geographic areas with higher socioeconomic levels had higher levels of clinical trial accruals. The number of oncologists and the presence of approved cancer programs both were significantly associated with increased accrual to clinical trials. CONCLUSION: We must work to increase the number of adults who enroll onto trials, especially among the elderly. Ongoing partnership with professional societies may be an effective approach to strengthen accrual to clinical trials.
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
Cited by
Participation in Cancer Clinical Trials: Race-, Sex-, and Age-Based Disparities
Murthy, V. H., Krumholz, H. M., & Gross, C. P. (2004) · JAMA · doi:10.1001/jama.291.22.2720 · Cited by 2,078
Barriers to recruiting underrepresented populations to cancer clinical trials: a systematic review
Ford, J. G., Howerton, M. W., Lai, G. Y., Gary, T. L., Bolen, S., Gibbons, M. C., Tilburt, J., Baffi, C., Tanpitukpongse, T. P., Wilson, R. F., et al. (2008) · Cancer · doi:10.1002/cncr.23157 · Cited by 1,083
Fogel, D. B. (2018) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2018.08.001 · Cited by 1,035
Are Racial and Ethnic Minorities Less Willing to Participate in Health Research?
Wendler, D., Kington, R., Madans, J., Wye, G. V., Christ-Schmidt, H., Pratt, L. A., Brawley, O. W., Gross, C. P., & Emanuel, E. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0030019 · Cited by 854
Self-citationTalarico, L., Chen, G., & Pazdur, R. (2004) · Journal of Clinical Oncology · doi:10.1200/jco.2004.02.175 · Cited by 727
Metadata
- Authors
- Sateren, W. B., Trimble, E. L., Abrams, J., Brawley, O., Breen, N., Ford, L., McCabe, M., Kaplan, R., Smith, M., Ungerleider, R., & Christian, M. C.
- Venue
- Journal of Clinical Oncology
- Published
- 2002-04-15
- Volume
- 20
- Issue
- 8
- Pages
- 2109-2117
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2105940636
- Cited by
- 535
- References
- 0
- FWCI
- 20.33
- Type
- journal article
- Language
- en
- Open access
- closed
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: How Sociodemographics, Presence of Oncology Specialists, and Hospital Cancer Programs Affect Accrual to Cancer Treatment Trials. https://app.cochat.ai/papers/10.1200/jco.2002.08.056
- The paper
- Sateren, W. B., Trimble, E. L., Abrams, J., Brawley, O., Breen, N., Ford, L., McCabe, M., Kaplan, R., Smith, M., Ungerleider, R., & Christian, M. C. (2002). How Sociodemographics, Presence of Oncology Specialists, and Hospital Cancer Programs Affect Accrual to Cancer Treatment Trials. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2002.08.056
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.