SynthesisJournal of global oncology2019
Ultrasound for Breast Cancer Detection Globally: A Systematic Review and Meta-Analysis.
Synthesis in Journal of global oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 3 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
98 citing papers in PubMed, 3 syntheses or guidelines pooled it, 239 citations in OpenAlex.
- The predictive value of lymph node status pre-operation by ultrasound and MRI in early and newly diagnosed breast cancer.Clinical and experimental medicine · 2026Pooled it
- [Systemic treatment of breast cancer: professional guideline].Magyar onkologia · 2025Guideline
- Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022Pooled it
- Comparison of ultrasound and mammography for early diagnosis of breast cancer among Chinese women with suspected breast lesions: A prospective trial.Thoracic cancer · 2022Trial
- Review
- Five-Year Breast Cancer Risk Prediction From Screening Breast Ultrasound Using Deep Learning.medRxiv : the preprint server for health sciences · 2026Article
- Evaluating the Impact of an Educational Intervention on Community Pharmacists' Knowledge, Attitudes, and Perceptions Toward Breast Cancer Screening.Health science reports · 2026Article
- Optimizing axillary lymph node management in early-stage HR+/HER2- breast cancer: Practical strategies for enhanced detection rates.Breast (Edinburgh, Scotland) · 2026Article
- Dual-discriminator network-based classification method for breast ultrasound imaging.Quantitative imaging in medicine and surgery · 2026Article
- Neratinib-loaded solid lipid nanoparticles in dissolvable microneedles for enhanced transdermal breast cancer therapy.Drug delivery and translational research · 2026Article
- Rethinking Local Cancer Overscreening in Japan: A Path toward Organized Screening.JMA journal · 2026Article
- Lightweight deep learning model with spatial attention for accurate and efficient breast cancer prediction.Scientific reports · 2026Article
- Evaluation of the diagnostic accuracy of mammography and ultrasonography for breast cancer diagnosis using histopathology as the reference standard: a cross-sectional study.Annals of medicine and surgery (2012) · 2026Article
- Review
- Clinically Focused Computer-Aided Diagnosis for Breast Cancer Using SE and CBAM with Multi-Head Attention.Tomography (Ann Arbor, Mich.) · 2025Article
- Impact of breast reconstruction on quality of life among women after mastectomy.Journal of Taibah University Medical Sciences · 2025Article
- The role of AI for improved management of breast cancer: Enhanced diagnosis and health disparity mitigation.Computer methods and programs in biomedicine · 2025Review
- Multimodal Deep Learning-Based Classification of Breast Non-Mass Lesions Using Gray Scale and Color Doppler Ultrasound.Diagnostics (Basel, Switzerland) · 2025Article
- Multimodal fusion of ultrasound images using HXM net for breast cancer diagnosis.Scientific reports · 2025Article
- Breast tumor diagnosis via multimodal deep learning using ultrasound B-mode and Nakagami images.Journal of medical imaging (Bellingham, Wash.) · 2025Article
38 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
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMammography is not always available or feasible. The purpose of this systematic review and meta-analysis is to assess the diagnostic performance of ultrasound as a primary tool for early detection of breast cancer. MATERIALS AND
methodsFor this systematic review and meta-analysis, we comprehensively searched PubMed and SCOPUS to identify articles from January 2000 to December 2018 that included data on the performance of ultrasound for detection of breast cancer. Studies evaluating portable, handheld ultrasound as an independent detection modality for breast cancer were included. Quality assessment and bias analysis were performed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Sensitivity analyses and meta-regression were used to explore heterogeneity. The study protocol has been registered with the international prospective register of systematic reviews (PROSPERO identifier: CRD42019127752).
resultsOf the 526 identified studies, 26 were eligible for inclusion. Ultrasound had an overall pooled sensitivity and specificity of 80.1% (95% CI, 72.2% to 86.3%) and 88.4% (95% CI, 79.8% to 93.6%), respectively. When only low- and middle-income country data were considered, ultrasound maintained a diagnostic sensitivity of 89.2% and specificity of 99.1%. Meta-analysis of the included studies revealed heterogeneity. The high sensitivity of ultrasound for the detection of breast cancer was not statistically significantly different in subgroup analyses on the basis of mean age, risk, symptoms, study design, bias level, and study setting.
conclusionGiven the increasing burden of breast cancer and infeasibility of mammography in certain settings, we believe these results support the potential use of ultrasound as an effective primary detection tool for breast cancer, which may be beneficial in low-resource settings where mammography is unavailable.
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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.