ReviewMetabolites2020
Association between Metabolites and the Risk of Lung Cancer: A Systematic Literature Review and Meta-Analysis of Observational Studies.
Review in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Amanida: an R package for meta-analysis of metabolomics non-integral data.Bioinformatics (Oxford, England) · 2022Pooled it
- Associations between Metabolomic Signatures of Persistent Smoking Effects and Lung Cancer Risk among Former Smokers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Article
- Integration of blood protein-metabolic profiles via machine learning to enable the accurate early detection of non-small cell lung cancer.Respiratory research · 2026Article
- Early Detection of Lung Cancer: A Review of Innovative Milestones and Techniques.Journal of clinical medicine · 2025Review
- HSA Adductomics in the Shanghai Women's Health Study Links Lung Cancer in Never-Smokers with Air Pollution, Redox Biology, and One-Carbon Metabolism.Antioxidants (Basel, Switzerland) · 2025Article
- Advances in early detection of non-small cell lung cancer: A comprehensive review.Cancer medicine · 2024Review
- An end-to-end deep learning method for mass spectrometry data analysis to reveal disease-specific metabolic profiles.Nature communications · 2024Article
- Article
- Diagnostic Value of Salivary Amino Acid Levels in Cancer.Metabolites · 2023Review
- Metabolic Changes and Their Associations with Selected Nutrients Intake in the Group of Workers Exposed to Arsenic.Metabolites · 2023Article
- Article
- Gene-environment interaction analysis of redox-related metals and genetic variants with plasma metabolic patterns in a general population from Spain: The Hortega Study.Redox biology · 2022Article
- Differential diagnosis of lung cancer and benign lung lesion using salivary metabolites: A preliminary study.Thoracic cancer · 2022Article
- Metabolomic Profiling in Lung Cancer: A Systematic Review.Metabolites · 2021Review
- Characterizing nicotine exposure among a community sample of non-daily smokers in the United States.BMC public health · 2021Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Globally, lung cancer is the most prevalent cancer type. However, screening and early detection is challenging. Previous studies have identified metabolites as promising lung cancer biomarkers. This systematic literature review and meta-analysis aimed to identify metabolites associated with lung cancer risk in observational studies. The literature search was performed in PubMed and EMBASE databases, up to 31 December 2019, for observational studies on the association between metabolites and lung cancer risk. Heterogeneity was assessed using the I
Indexed as
Identifiers
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.