The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Complementary Medicine, Refusal of Conventional Cancer Therapy, and Survival Among Patients With Curable Cancers
Open accessAbstract
Importance: There is limited information on the association among complementary medicine (CM), adherence to conventional cancer treatment (CCT), and overall survival of patients with cancer who receive CM compared with those who do not receive CM. Objectives: To compare overall survival between patients with cancer receiving CCT with or without CM and to compare adherence to treatment and characteristics of patients receiving CCT with or without CM. Design, Setting, and Participants: This retrospective observational study used data from the National Cancer Database on 1 901 815 patients from 1500 Commission on Cancer-accredited centers across the United States who were diagnosed with nonmetastatic breast, prostate, lung, or colorectal cancer between January 1, 2004, and December 31, 2013. Patients were matched on age, clinical group stage, Charlson-Deyo comorbidity score, insurance type, race/ethnicity, year of diagnosis, and cancer type. Statistical analysis was conducted from November 8, 2017, to April 9, 2018. Exposures: Use of CM was defined as "Other-Unproven: Cancer treatments administered by nonmedical personnel" in addition to at least 1 CCT modality, defined as surgery, radiotherapy, chemotherapy, and/or hormone therapy. Main Outcomes and Measures: Overall survival, adherence to treatment, and patient characteristics. Results: The entire cohort comprised 1 901 815 patients with cancer (258 patients in the CM group and 1 901 557 patients in the control group). In the main analyses following matching, 258 patients (199 women and 59 men; mean age, 56 years [interquartile range, 48-64 years]) were in the CM group, and 1032 patients (798 women and 234 men; mean age, 56 years [interquartile range, 48-64 years]) were in the control group. Patients who chose CM did not have a longer delay to initiation of CCT but had higher refusal rates of surgery (7.0% [18 of 258] vs 0.1% [1 of 1031]; P < .001), chemotherapy (34.1% [88 of 258] vs 3.2% [33 of 1032]; P < .001), radiotherapy (53.0% [106 of 200] vs 2.3% [16 of 711]; P < .001), and hormone therapy (33.7% [87 of 258] vs 2.8% [29 of 1032]; P < .001). Use of CM was associated with poorer 5-year overall survival compared with no CM (82.2% [95% CI, 76.0%-87.0%] vs 86.6% [95% CI, 84.0%-88.9%]; P = .001) and was independently associated with greater risk of death (hazard ratio, 2.08; 95% CI, 1.50-2.90) in a multivariate model that did not include treatment delay or refusal. However, there was no significant association between CM and survival once treatment delay or refusal was included in the model (hazard ratio, 1.39; 95% CI, 0.83-2.33). Conclusions and Relevance: In this study, patients who received CM were more likely to refuse additional CCT, and had a higher risk of death. The results suggest that mortality risk associated with CM was mediated by the refusal of CCT.
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
Siegel, R. L., Miller, K. D., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21332 · Cited by 16,003
Edge, S. B., & Compton, C. C. (2010) · Annals of Surgical Oncology · doi:10.1245/s10434-010-0985-4 · Cited by 9,029
Austin, P. C. (2009) · Statistics in Medicine · doi:10.1002/sim.3697 · Cited by 6,758
Eisenberg, D. M., Davis, R. B., Ettner, S. L., Appel, S., Wilkey, S., Van Rompay, M., & Kessler, R. C. (1998) · JAMA · doi:10.1001/jama.280.18.1569 · Cited by 6,658
Acute Abdomen: A Rare Case of Ruptured Hepatocellular Carcinoma
Gloor, S., Jensen, K. O., Breitenstein, S., Binkert, C. A., Angst, E., & Hetzer, F. H. (2017) · Case Reports in Gastroenterology · doi:10.1159/000463378 · Cited by 5,370
Why Patients Use Alternative Medicine: Results of a National Study
Astin, J. A. (1998) · JAMA · doi:10.1001/jama.279.19.1548 · Cited by 2,865
Complementary and alternative medicine use among adults: United States, 2002
Barnes, P. M., Powell-Griner, E., McFann, K., & Nahin, R. L. (2004) · Seminars in Integrative Medicine · doi:10.1016/j.sigm.2004.07.003 · Cited by 2,177
Trends in the Use of Complementary Health Approaches Among Adults in the United States: New Data
Jackson, C. (2015) · Holistic Nursing Practice · doi:10.1097/hnp.0000000000000088 · Cited by 1,166
Richardson, M. A., Sanders, T., Palmer, J. L., Greisinger, A., & Singletary, S. E. (2000) · Journal of Clinical Oncology · doi:10.1200/jco.2000.18.13.2505 · Cited by 1,022
(2015) · PubMed · Cited by 926
Cited by
Cancer misinformation and harmful information on Facebook and other social media: a brief report
Johnson, S. B., Parsons, M., Dorff, T., Moran, M. S., Ward, J. H., Cohen, S. A., Akerley, W., Bauman, J., Hubbard, J., Spratt, D. E., et al. (2022) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/djab141 · Cited by 210
Self-citationEffectiveness of Complementary Therapies in Cancer Patients: A Systematic Review
Guerra-Martín, M. D., Tejedor-Bueno, M. S., & Correa-Casado, M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18031017 · Cited by 66
TRACES: A Benchmark for Epistemic Reliability in Scientific Reasoning by LLMs
Rodionov, V., & Assylbekov, S. (2026) · arXiv · doi:10.48550/arxiv.2608.11415
“Patients with curable cancers who choose alternative therapy over conventional treatment die at roughly twice the rate of matched controls [50], and patients who add "complementary" therapy are markedly more likely to refuse the treatments that would have worked [51].”
Metadata
- Authors
- Johnson, S. B., Park, H. S., Gross, C. P., & Yu, J. B.
- Venue
- JAMA Oncology
- Publisher
- American Medical Association (AMA)
- Published
- 2018-10-01
- Volume
- 4
- Issue
- 10
- Pages
- 1375
- ISSN
- 2374-2437 (ISSN-L)
- OpenAlex
- W2884174104
- Cited by
- 325
- References
- 22
- FWCI
- 47.14
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Complementary Medicine, Refusal of Conventional Cancer Therapy, and Survival Among Patients With Curable Cancers. https://app.cochat.ai/papers/10.1001/jamaoncol.2018.2487
- The paper
- Johnson, S. B., Park, H. S., Gross, C. P., & Yu, J. B. (2018). Complementary Medicine, Refusal of Conventional Cancer Therapy, and Survival Among Patients With Curable Cancers. JAMA Oncology. https://doi.org/10.1001/jamaoncol.2018.2487
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.