The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Meta-Analysis of Breast Cancer Outcomes in Adjuvant Trials of Aromatase Inhibitors Versus Tamoxifen
Abstract
Purpose: To conduct meta-analyses of randomized trials of aromatase inhibitors (AIs) compared with tamoxifen either as initial monotherapy (cohort 1) or after 2 to 3 years of tamoxifen (cohort 2). Materials and Methods: Data submitted to the Early Breast Cancer Trialists' Collaborative Group were used in separate meta-analyses of two cohorts. Primary analyses involve postmenopausal women with tumors reported to be estrogen receptor positive. Log-rank P values are two-sided. Results: Cohort 1 comprised 9,856 patients with a mean of 5.8 years of follow-up. At 5 years, AI therapy was associated with an absolute 2.9% (SE = 0.7%) decrease in recurrence (9.6% for AI v 12.6% for tamoxifen; 2P < .00001) and a nonsignificant absolute 1.1% (SE = 0.5%) decrease in breast cancer mortality (4.8% for AI v 5.9% for tamoxifen; 2P = .1). Cohort 2 comprised 9,015 patients with a mean of 3.9 years of follow-up. At 3 years from treatment divergence (ie, approximately 5 years after starting hormonal treatment), AI therapy was associated with an absolute 3.1% (SE = 0.6%) decrease in recurrence (5.0% for AI v 8.1% for tamoxifen since divergence; 2P < .00001) and an absolute 0.7% (SE = 0.3%) decrease in breast cancer mortality (1.7% for AI v 2.4% for tamoxifen since divergence; 2P = .02). There was no convincing heterogeneity in the proportional recurrence reduction with respect to age, nodal status, tumor grade, or progesterone receptor status and no indication of an increase in nonbreast deaths with AIs in either cohort. Conclusion: AIs produce significantly lower recurrence rates compared with tamoxifen, either as initial monotherapy or after 2 to 3 years of tamoxifen. Additional follow-up will provide clearer information on long-term survival.
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
Cuzick, J., Sestak, I., Baum, M., Buzdar, A., Howell, A., Dowsett, M., & Forbes, J. F. (2010) · The Lancet Oncology · doi:10.1016/s1470-2045(10)70257-6 · Cited by 1,674
Self-citationGeisler, J., Haynes, B., Anker, G., Dowsett, M., & Lønning, P. E. (2002) · Journal of Clinical Oncology · doi:10.1200/jco.20.3.751 · Cited by 604
Self-citation
Cited by
Nishimura, R., Osako, T., Nishiyama, Y., Tashima, R., Nakano, M., Fujisue, M., Toyozumi, Y., & Arima, N. (2013) · Oncology · doi:10.1159/000353099 · Cited by 13,166
Early Breast Cancer Trialists' Collaborative Group (EBCTCG) (2011) · The Lancet · doi:10.1016/s0140-6736(11)60993-8 · Cited by 3,075
Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
Cardoso, F., Kyriakides, S., Ohno, S., Penault-Llorca, F., Poortmans, P., Rubio, I. T., Zackrisson, S., & Senkus, E. (2019) · Annals of Oncology · doi:10.1093/annonc/mdz173 · Cited by 2,214
Early Breast Cancer Trialists' Collaborative Group (EBCTCG) (2012) · The Lancet · doi:10.1016/s0140-6736(11)61625-5 · Cited by 2,089
Davies, C., Pan, H., Godwin, J., Gray, R., Arriagada, R., Raina, V., Abraham, M., Alencar, V. H. M., Badran, A., Bonfill, X., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(12)61963-1 · Cited by 2,044
Self-citation
Metadata
- Authors
- Dowsett, M., Cuzick, J., Ingle, J., Coates, A., Forbes, J., Bliss, J., Buyse, M., Baum, M., Buzdar, A., Colleoni, M., Coombes, C., Snowdon, C., Gnant, M., Jakesz, R., Kaufmann, M., Boccardo, F., Godwin, J., Davies, C., & Peto, R.
- Venue
- Journal of Clinical Oncology
- Published
- 2010-01-20
- Volume
- 28
- Issue
- 3
- Pages
- 509-518
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2015473392
- Cited by
- 813
- References
- 2
- FWCI
- 2.24
- 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: Meta-Analysis of Breast Cancer Outcomes in Adjuvant Trials of Aromatase Inhibitors Versus Tamoxifen. https://app.cochat.ai/papers/10.1200/jco.2009.23.1274
- The paper
- Dowsett, M., Cuzick, J., Ingle, J., Coates, A., Forbes, J., Bliss, J., Buyse, M., Baum, M., Buzdar, A., Colleoni, M., Coombes, C., Snowdon, C., Gnant, M., Jakesz, R., Kaufmann, M., Boccardo, F., Godwin, J., Davies, C., & Peto, R. (2010). Meta-Analysis of Breast Cancer Outcomes in Adjuvant Trials of Aromatase Inhibitors Versus Tamoxifen. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2009.23.1274
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.