ArticleCancer2020
Breast cancer early detection: A phased approach to implementation.
Article in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 306 papers, 8 of them syntheses that pooled 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.
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.
Who cites it
306 citing papers in PubMed, 8 syntheses or guidelines pooled it, 685 citations in OpenAlex.
- Implementation science frameworks and strategies to promote adoption of and adherence to oncology clinical practice guidelines in low- and middle-income countries: a scoping review.BMC global and public health · 2026Pooled it
- Radiologic-Pathologic Discordance After Image-Guided Breast Biopsy: A Systematic Review of Prevalence and Outcomes.Medical sciences (Basel, Switzerland) · 2026Pooled it
- Pooled it
- Health belief model-based educational interventions for knowledge, beliefs, and intentions on mammography: a systematic review.BMC women's health · 2025Pooled it
- A systematic review of progress toward unlocking the power of epigenetics in breast cancer: latest updates and perspectives.Frontiers in pharmacology · 2025Pooled it
- Proportion of early-stage breast cancer at diagnosis in Ethiopia: a systematic review and meta-analysis.BMC cancer · 2024Pooled it
- Early detection of self-breast examination using smartphone breast application.Breast disease · 2024Pooled it
- Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review.BMC bioinformatics · 2023Pooled it
- The Impact of Nurse-Led Intervention on Breast Cancer Screening and Early Detection in China: Randomized Control Trial.Asian Pacific journal of cancer prevention : APJCP · 2025Trial
- Teach back educational strategy on knowledge about breast cancer among low health literate women.BMC medical education · 2024Trial
- Assessment of risk factors of breast cancer among women in Dodoma, Tanzania: a community-based cross-sectional study.The Libyan journal of medicine · 2026Article
- The Increasing Importance of Breast Cancer in the United Arab Emirates.Asia-Pacific journal of clinical oncology · 2026Review
- Breast cancer mortality by age and race and/or ethnicity across counties in the United States, 2000-2019.Journal of the National Cancer Institute · 2026Article
- Conducting Polymer-Nanomaterial Hybrids for Cancer Diagnostics.Biosensors · 2026Review
- Strategies to overcome barriers in access to cancer treatment in Latin America: a regional perspective.ESMO gastrointestinal oncology · 2026Review
- SynQ-Breast: a flexible deep learning framework for quantitative MRI of breast tumors via synthetic data with IVIM-MRI validation.Quantitative imaging in medicine and surgery · 2026Article
- Healthcare Utilization and Inequalities in Breast Cancer Early Detection Behaviors Among Women in Türkiye: A Nationally Representative Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Validation Of CAM Questionnaire To Access Literacy About Breast Cancer in Brazilian Population - QuIC-Mama.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026Article
- Rethinking cancer control in low- and middle-income countries: from workforce expansion to systems transformation.BMC cancer · 2026Article
- A Comparative Species Framework to Identify Candidate Salivary miRNAs Associated with Breast Cancer Risk.International journal of molecular sciences · 2026Article
246 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors at 20 institutions in 11 countries.
Funding
Abstract
When breast cancer is detected and treated early, the chances of survival are very high. However, women in many settings face complex barriers to early detection, including social, economic, geographic, and other interrelated factors, which can limit their access to timely, affordable, and effective breast health care services. Previously, the Breast Health Global Initiative (BHGI) developed resource-stratified guidelines for the early detection and diagnosis of breast cancer. In this consensus article from the sixth BHGI Global Summit held in October 2018, the authors describe phases of early detection program development, beginning with management strategies required for the diagnosis of clinically detectable disease based on awareness education and technical training, history and physical examination, and accurate tissue diagnosis. The core issues address include finance and governance, which pertain to successful planning, implementation, and the iterative process of program improvement and are needed for a breast cancer early detection program to succeed in any resource setting. Examples are presented of implementation, process, and clinical outcome metrics that assist in program implementation monitoring. Country case examples are presented to highlight the challenges and opportunities of implementing successful breast cancer early detection programs, and the complex interplay of barriers and facilitators to achieving early detection for breast cancer in real-world settings are considered.
Indexed as
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What OpenQuestion holds
Registered trials
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.