The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Breast-Cancer Tumor Size, Overdiagnosis, and Mammography Screening Effectiveness
Abstract
BACKGROUND: The goal of screening mammography is to detect small malignant tumors before they grow large enough to cause symptoms. Effective screening should therefore lead to the detection of a greater number of small tumors, followed by fewer large tumors over time. METHODS: We used data from the Surveillance, Epidemiology, and End Results (SEER) program, 1975 through 2012, to calculate the tumor-size distribution and size-specific incidence of breast cancer among women 40 years of age or older. We then calculated the size-specific cancer case fatality rate for two time periods: a baseline period before the implementation of widespread screening mammography (1975 through 1979) and a period encompassing the most recent years for which 10 years of follow-up data were available (2000 through 2002). RESULTS: After the advent of screening mammography, the proportion of detected breast tumors that were small (invasive tumors measuring <2 cm or in situ carcinomas) increased from 36% to 68%; the proportion of detected tumors that were large (invasive tumors measuring ≥2 cm) decreased from 64% to 32%. However, this trend was less the result of a substantial decrease in the incidence of large tumors (with 30 fewer cases of cancer observed per 100,000 women in the period after the advent of screening than in the period before screening) and more the result of a substantial increase in the detection of small tumors (with 162 more cases of cancer observed per 100,000 women). Assuming that the underlying disease burden was stable, only 30 of the 162 additional small tumors per 100,000 women that were diagnosed were expected to progress to become large, which implied that the remaining 132 cases of cancer per 100,000 women were overdiagnosed (i.e., cases of cancer were detected on screening that never would have led to clinical symptoms). The potential of screening to lower breast cancer mortality is reflected in the declining incidence of larger tumors. However, with respect to only these large tumors, the decline in the size-specific case fatality rate suggests that improved treatment was responsible for at least two thirds of the reduction in breast cancer mortality. CONCLUSIONS: Although the rate of detection of large tumors fell after the introduction of screening mammography, the more favorable size distribution was primarily the result of the additional detection of small tumors. Women were more likely to have breast cancer that was overdiagnosed than to have earlier detection of a tumor that was destined to become large. The reduction in breast cancer mortality after the implementation of screening mammography was predominantly the result of improved systemic therapy.
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
Effect of Screening and Adjuvant Therapy on Mortality from Breast Cancer
Berry, D. A., Cronin, K. A., Plevritis, S. K., Fryback, D. G., Clarke, L., Zelen, M., Mandelblatt, J. S., Yakovlev, A. Y., Habbema, J. D. F., & Feuer, E. J. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050518 · Cited by 2,460
Prospective Validation of a 21-Gene Expression Assay in Breast Cancer
Sparano, J. A., Gray, R. J., Makower, D. F., Pritchard, K. I., Albain, K. S., Hayes, D. F., Geyer, C. E., Dees, E. C., Perez, E. A., Olson, J. A., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1510764 · Cited by 1,388
Effect of Three Decades of Screening Mammography on Breast-Cancer Incidence
Bleyer, A., & Welch, H. G. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1206809 · Cited by 1,367
Self-citationEffect of Screening Mammography on Breast-Cancer Mortality in Norway
Kalager, M., Zelen, M., Langmark, F., & Adami, H.-O. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1000727 · Cited by 526
Rethinking Screening for Breast Cancer and Prostate Cancer
Esserman, L. (2009) · JAMA · doi:10.1001/jama.2009.1498 · Cited by 516
The Natural History of Invasive Breast Cancers Detected by Screening Mammography
Zahl, P.-H., Mæhlen, J., & Welch, H. G. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.21.2311 · Cited by 261
Self-citationQuantifying and monitoring overdiagnosis in cancer screening: a systematic review of methods
Carter, J. L., Coletti, R. J., & Harris, R. P. (2015) · BMJ · doi:10.1136/bmj.g7773 · Cited by 207
Why have breast cancer mortality rates declined?
Narod, S. A., Iqbal, J., & Miller, A. B. (2015) · Journal of Cancer Policy · doi:10.1016/j.jcpo.2015.03.002 · Cited by 192
Trends in Metastatic Breast and Prostate Cancer — Lessons in Cancer Dynamics
Welch, H. G., Gorski, D. H., & Albertsen, P. C. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1510443 · Cited by 188
Self-citation
Cited by
Personalized early detection and prevention of breast cancer: ENVISION consensus statement
Pashayan, N., Antoniou, A. C., Ivanus, U., Esserman, L. J., Easton, D. F., French, D., Sroczynski, G., Hall, P., Cuzick, J., Evans, D. G., et al. (2020) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-0388-9 · Cited by 438
Screening for Breast Cancer in 2018—What Should We be Doing Today?
Seely, J. M., & Alhassan, T. (2018) · Current Oncology · doi:10.3747/co.25.3770 · Cited by 258
Recent updates on innovative approaches to overcome drug resistance for better outcomes in cancer
Sharma, M., Bakshi, A. K., Mittapelly, N., Gautam, S., Marwaha, D., Rai, N., Singh, N., Tiwari, P., Agarwal, N., Kumar, A., et al. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.04.007 · Cited by 84
Accepting the existence of breast cancer overdiagnosis
Brawley, O. W. (2017) · Annals of Internal Medicine · doi:10.7326/m16-2850 · Cited by 26
Immunotherapeutic strategies in breast cancer: a clinical update
Zhang, J. Q., & Plitas, G. (2021) · Journal of Surgical Oncology · doi:10.1002/jso.26287 · Cited by 6
Metadata
- Authors
- Welch, H. G., Prorok, P. C., O’Malley, A. J., & Kramer, B. S.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2016-10-13
- Volume
- 375
- Issue
- 15
- Pages
- 1438-1447
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2529908594
- Cited by
- 699
- References
- 20
- FWCI
- 36.00
- 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: Breast-Cancer Tumor Size, Overdiagnosis, and Mammography Screening Effectiveness. https://app.cochat.ai/papers/10.1056/nejmoa1600249
- The paper
- Welch, H. G., Prorok, P. C., O’Malley, A. J., & Kramer, B. S. (2016). Breast-Cancer Tumor Size, Overdiagnosis, and Mammography Screening Effectiveness. New England Journal of Medicine. https://doi.org/10.1056/nejmoa1600249
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.