ReviewLung Cancer (Auckland, N.Z.)2021
An Update on the Use of Exhaled Breath Analysis for the Early Detection of Lung Cancer.
Review in Lung Cancer (Auckland, N.Z.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis 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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Association of AI-Derived Quantitative CT Parameters of Airway, Emphysema, and Pulmonary Vasculature with Lung Cancer: A Cross-Sectional AnalysisCurrent medical imaging · 2026Article
- Detection of Lung Cancer Biomarkers CACS omega · 2025Article
- Electronic-Nose Technology for Lung Cancer Detection: A Non-Invasive Diagnostic Revolution.Lung · 2025Review
- Machine learning assisted breathomic approach for early-stage thoracic cancer detection.Frontiers in oncology · 2025Article
- Health State Utilities Associated with False-Positive Cancer Screening Results.PharmacoEconomics - open · 2024Article
- Volatilome is Inflammasome- and Lipidome-dependent in Ischemic Heart Disease.Current cardiology reviews · 2024Review
- Exploring Circulating Tumor DNA (CtDNA) and Its Role in Early Detection of Cancer: A Systematic Review.Cureus · 2023Review
- Selectivity of Exhaled Breath Biomarkers of Lung Cancer in Relation to Cancer of Other Localizations.International journal of molecular sciences · 2023Article
- Sensitivity and specificity ofHeliyon · 2023Article
- Novel breath biomarkers identification for early detection of hepatocellular carcinoma and cirrhosis using ML tools and GCMS.PloS one · 2023Article
- A nanostructured Al-doped ZnO as an ultra-sensitive room-temperature ammonia gas sensor.Journal of materials science. Materials in electronics · 2023Article
- Application of Artificial Intelligence in Lung Cancer.Cancers · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer has historically been the main responsible for cancer associated deaths. Owing to this is our current inability to screen for and diagnose early pathological findings, preventing us from a timely intervention when cure is still achievable. Over the last decade, together with the extraordinary progress in therapeutical alternatives in the field, there has been an ongoing search for a biomarker that would allow for this. Numerous technologies have been developed but their clinical application is yet to come. In this review, we provide an update on volatile organic compounds, a non-invasive method that can hold the key for detecting early metabolic pathway changes in carcinogenesis. For its compilation, web-based search engines of scientific literature such as PubMed were explored and reviewed, using articles, research, and papers deemed meaningful by authors discretion. After a brief description, we depict how this technique can complement current methods and present the value of electronic noses in the identification of the "breathprint". Lastly, we bring some of the latest updates in the field together with the current limitations and final remarks.
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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.