Evidence map›Paper›PMID 40232715›Full record

ArticleJAMA network open2025

Screening History, Stage at Diagnosis, and Mortality in Screen-Detected Breast Cancer.

Sida Huang, Sarah J Westvold, Pamela R Soulos, Jane Fan, Eric P Winer, Haiying Zhan, Maryam B Lustberg, John Lewin, Timothy J Robinson, Michaela A Dinan

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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  8. Biochemical landscape of breast cancer: integrating serum markers with clinical prognosis and staging.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sida HuangYale School of Public Health, New Haven, Connecticut.
Sarah J WestvoldCancer Outcomes, Public Policy, and Effectiveness Research Center, Yale University, New Haven, Connecticut.
Pamela R SoulosCancer Outcomes, Public Policy, and Effectiveness Research Center, Yale University, New Haven, Connecticut.
Jane FanCancer Outcomes, Public Policy, and Effectiveness Research Center, Yale University, New Haven, Connecticut.
Eric P WinerYale Cancer Center, New Haven, Connecticut.
Haiying ZhanDepartment of Pathology, Yale School of Medicine, New Haven, Connecticut.
Maryam B LustbergYale Cancer Center, New Haven, Connecticut.
John LewinDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut.
Timothy J RobinsonDepartment of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut.
Michaela A DinanDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Screening mammography promotes early detection of breast cancer and is associated with reduced breast cancer mortality. Screening history prior to diagnosis may impact stage at diagnosis and breast cancer mortality but has not been comprehensively examined within a diverse US cohort. Objective: To determine whether having a prior screening is associated with earlier stage at breast cancer diagnosis and lower breast cancer-specific mortality. Design, Setting, and Participants: This cohort study used linked Surveillance, Epidemiology, and End Results-Medicare data of women aged at least 70 years, diagnosed with estrogen receptor-positive or human epidermal growth factor receptor 2-negative breast cancer from 2010 to 2017, and enrolled in fee-for-service Medicare Parts A and B from 5 years prior to through 1 year after diagnosis. Data were analyzed from March 1 to September 18, 2024. Exposure: Presence of 1 or more screening mammograms during the 5 years prior to the mammogram at breast cancer diagnosis. Main Outcomes and Measures: Outcomes of interest were stage of breast cancer at diagnosis, dichotomized into very early (T1N0) vs later stage (T2+ or N1+) and breast cancer-specific mortality. Results: Among 13 028 included women, most had at least 1 prior screening (10 094 women [77.5%]) and were aged between 70 and 79 years (9034 women [69.4%]) and not dual-eligible for Medicare and Medicaid (11 475 women [88.1%]). Additionally, 3812 women (29.3%) were diagnosed with later-stage disease (T2+ or N1+) at the time of diagnosis. In multivariable analyses, prior screening was associated with 54% lower odds of later-stage breast cancer diagnosis (adjusted odds ratio, 0.46; 95% CI, 0.42-0.50) and 36% lower hazard of breast cancer-specific death (adjusted hazard ratio, 0.63; 95% CI, 0.52-0.76) compared with no prior screenin. In the adjusted Cox proportional hazards model, having 3 or 4 prior screenings was associated with 37% reduced hazard of breast cancer-specific mortality compared with having 1 prior screening (adjusted hazard ratio, 0.63; 95% CI, 0.44-0.89). Conclusions and Relevance: In this cohort study of older women with screen-detected estrogen receptor-positive or human epidermal growth factor receptor 2-negative breast cancer, prior screening mammography was associated with earlier stage at breast cancer diagnosis and lower breast cancer mortality. These findings support the potential for routine screening to improve breast cancer outcomes. As with all observational studies, this study is limited by the potential effects of other differences between the screening and nonscreening groups.

Indexed as

Breast NeoplasmsEarly Detection of CancerMammographyMass ScreeningAgedAged, 80 and overCohort StudiesFemaleHumansMedicareNeoplasm StagingSEER ProgramUnited States

Identifiers

PMID40232715
PMCPMC12000969

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.