Plate Nº 45 · recorded October 10, 2026
Health & Medicine ResearchReported finding
Breast cancer screening overdiagnosis may be far lower than long feared
A reanalysis of all eight major mammography trials puts breast cancer overdiagnosis below 5%, challenging long-cited estimates of 30–50% that have shaped screening guidelines.
By James Calloway4 min read736 words
In brief
- New analysis puts breast cancer overdiagnosis below 5%, far lower than the 30–50% rates cited for decades.
- Study published September 26, 2026 in the JNCI: Journal of the National Cancer Institute (DOI: 10.1093/jnci/djag302).
- Researchers reanalyzed all eight randomized mammography trials, including the New York Health Insurance Plan, Malmö, Two-Country, Edinburgh, Canadian NBSS, Stockholm, Gothenburg, and UK Age.
- Denmark's regional screening rollout was staggered by 17 years, providing the comparison data.
- Lead authors are Sisse Helle Njor (University of Southern Denmark), Elsebeth Lynge (University of Copenhagen), and Matejka Rebolj (Queen Mary University of London).
A major reanalysis of breast cancer screening trials concludes that overdiagnosis from mammograms affects fewer than 5% of detected cancers—far below the 30% to 50% rates cited for decades.
The study, published September 26, 2026 in the JNCI: Journal of the National Cancer Institute, combined data from all eight randomized mammography trials and compared the patterns to regional screening programs in Denmark.
Overdiagnosis occurs when screening detects a cancer that would never have caused symptoms or threatened a woman's lifetime health. The concern has shaped international debates about whether the harms of breast cancer screening outweigh its life-saving benefits.
What did the researchers actually do?
The team, led by Sisse Helle Njor of the University of Southern Denmark and Lillebælt Hospital, reanalyzed results from the New York Health Insurance Plan, Malmö, Two-County, Edinburgh, the Canadian National Breast Screening Study, Stockholm, Gothenburg, and UK Age trials.
They then compared those results to breast cancer incidence in Denmark, where organized screening began 17 years earlier in some regions than in others. That staggered rollout created a natural experiment for tracking how diagnoses changed before, during, and after screening programs started.
"The aim of our study was to bring together the evidence from all randomized controlled trials to get a clearer picture of the extent of overdiagnosis in breast cancer screening," Njor said.
Why have past estimates been so high?
When mammography programs launch, breast cancer diagnoses jump because screening finds cancers earlier. Later, those same cancers should appear less often in the unscreened group, balancing the books over time.
If a study ends before that balancing decline appears, researchers can mistake the early spike for overdiagnosis. Estimates also shift when women in the control group later receive screening themselves.
"When screening is introduced, the number of breast cancer diagnoses initially rises because cancers are detected earlier than they would have been without screening," said Elsebeth Lynge, professor emerita at the University of Copenhagen's Department of Public Health.
Lynge added: "Over time, this should be followed by a drop, as some of these cancers would otherwise have been diagnosed later. This pattern can also be affected if women in either group continue to undergo screening after the trials had ended, which was common."
She concluded: "If researchers do not take these factors into account, the initial increase can be mistaken for overdiagnosis."
What changed in the new analysis?
The researchers corrected for three specific timing factors across the trials:
- Whether control-group women later received screening, such as after routine programs launched.
- How many screening rounds each group received, since more rounds create more opportunities to find cancers early.
- How long researchers followed both groups, giving late-appearing cancers time to surface in the control group.
After those adjustments, the overdiagnosis rate aligned with Denmark's real-world estimate of below 5%.
"Taken together, we believe some previous high estimates of overdiagnosis, which influenced screening guidelines and communication, were based on evidence before trial data had fully matured," said Matejka Rebolj, senior epidemiologist at Queen Mary University of London.
Rebolj added: "When interpreted in their full temporal context, randomized trial data are consistent with overdiagnosis of less than five percent, rather than with estimates nearing 50%."
What does this mean for women?
The findings do not eliminate overdiagnosis, which can still lead to unnecessary treatment for cancers that would never have caused harm. But the new analysis suggests that risk has been misrepresented in guideline discussions and patient communications for years.
"Most women will not develop breast cancer, but with this study we can now be reassured that the benefits of detecting breast cancer early and preventing premature death will outweigh the small risk of unnecessary treatment," Njor said.
She added: "With this in mind, we hope this study will provide a framework for a more realistic interpretation of the evidence and help us better inform women when they are invited for screening."
What are the study's limits?
The work is a meta-analysis of existing trial data, not a new randomized trial. The researchers examined both invasive breast cancer and ductal carcinoma in situ (DCIS). Findings rest on the assumption that Denmark's regional rollout patterns accurately reflect what would happen in a longer, fully matured trial.
Funding came from the Novo Nordisk Foundation (grant NNF22OC0076184) and Cancer Research UK (grant C8162/A29083). The paper appears under DOI 10.1093/jnci/djag302.
via dx.doi.org (Original)
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Staff writer covering marketplaces and e-commerce at SciBeat.
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