ArticlePloS one2014
Rapid point-of-care breath test for biomarkers of breast cancer and abnormal mammograms.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04755829 (Breath Test to Predict Breast Cancer and Outcome of Mammography), which is not on this map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
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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.
Breath Test to Predict Breast Cancer and Outcome of Mammography
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Advanced strategy for cancer detection based on volatile organic compounds in breath.Journal of nanobiotechnology · 2025Pooled it
- Detection of cancer through exhaled breath: a systematic review.Oncotarget · 2015Pooled it
- Breath by Breath: Navigating the Landscape of Exhaled Breath in Clinical Research and Prospects for the Future.Journal of analytical methods in chemistry · 2026Review
- Article
- The human volatilome meets cancer diagnostics: past, present, and future of noninvasive applications.Metabolomics : Official journal of the Metabolomic Society · 2024Review
- Diagnosis of Carcinogenic Pathologies through Breath Biomarkers: Present and Future Trends.Biomedicines · 2023Review
- Smelling the Disease: Diagnostic Potential of Breath Analysis.Molecular diagnosis & therapy · 2023Review
- Nonanal Gas Sensors Using Porous Glass as a Reaction Field for Ammonia-Catalyzed Aldol Condensation.ACS omega · 2023Article
- Breast cancer detection by analyzing the volatile organic compound (VOC) signature in human urine.Scientific reports · 2022Article
- Breath Analysis: A Promising Tool for Disease Diagnosis-The Role of Sensors.Sensors (Basel, Switzerland) · 2022Review
- Hyphenated Mass Spectrometry versus Real-Time Mass Spectrometry Techniques for the Detection of Volatile Compounds from the Human Body.Molecules (Basel, Switzerland) · 2021Review
- A prediction model using 2-propanol and 2-butanone in urine distinguishes breast cancer.Scientific reports · 2021Article
- Early diagnosis of breast cancer from exhaled breath by gas chromatography-mass spectrometry (GC/MS) analysis: A prospective cohort study.Journal of clinical laboratory analysis · 2020Article
- Review
- Article
- Synthesis of Nano-Praseodymium Oxide for Cataluminescence Sensing of Acetophenone in Exhaled Breath.Molecules (Basel, Switzerland) · 2019Article
- Wearables and the medical revolution.Personalized medicine · 2018Review
- Article
- Awareness, Interest, and Preferences of Primary Care Providers in Using Point-of-Care Cancer Screening Technology.PloS one · 2016Article
- Smelling the Diagnosis: The Electronic Nose as Diagnostic Tool in Inflammatory Arthritis. A Case-Reference Study.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundPrevious studies have reported volatile organic compounds (VOCs) in breath as biomarkers of breast cancer and abnormal mammograms, apparently resulting from increased oxidative stress and cytochrome p450 induction. We evaluated a six-minute point-of-care breath test for VOC biomarkers in women screened for breast cancer at centers in the USA and the Netherlands.
methods244 women had a screening mammogram (93/37 normal/abnormal) or a breast biopsy (cancer/no cancer 35/79). A mobile point-of-care system collected and concentrated breath and air VOCs for analysis with gas chromatography and surface acoustic wave detection. Chromatograms were segmented into a time series of alveolar gradients (breath minus room air). Segmental alveolar gradients were ranked as candidate biomarkers by C-statistic value (area under curve [AUC] of receiver operating characteristic [ROC] curve). Multivariate predictive algorithms were constructed employing significant biomarkers identified with multiple Monte Carlo simulations and cross validated with a leave-one-out (LOO) procedure.
resultsPerformance of breath biomarker algorithms was determined in three groups: breast cancer on biopsy versus normal screening mammograms (81.8% sensitivity, 70.0% specificity, accuracy 79% (73% on LOO) [C-statistic value], negative predictive value 99.9%); normal versus abnormal screening mammograms (86.5% sensitivity, 66.7% specificity, accuracy 83%, 62% on LOO); and cancer versus no cancer on breast biopsy (75.8% sensitivity, 74.0% specificity, accuracy 78%, 67% on LOO).
conclusionsA pilot study of a six-minute point-of-care breath test for volatile biomarkers accurately identified women with breast cancer and with abnormal mammograms. Breath testing could potentially reduce the number of needless mammograms without loss of diagnostic sensitivity.
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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.