ReviewJournal of thoracic disease2015
Lung cancer screening: identifying the high risk cohort.
Review in Journal of thoracic disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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
20 citing papers in PubMed.
- Clinical Validation of a Cell-Free DNA Fragmentome Assay for Augmentation of Lung Cancer Early Detection.Cancer discovery · 2024Article
- Sex-Based Differences in Lung Cancer Incidence: A Retrospective Analysis of Two Large US-Based Cancer Databases.Cancers · 2024Article
- Geographic variation of HPV-associated cancer incidence in Kentucky using spatial scan statistics.Cancer causes & control : CCC · 2024Article
- Development of a urine-based metabolomics approach for multi-cancer screening and tumor origin prediction.Frontiers in immunology · 2024Article
- A collection of multiregistry data on patients at high risk of lung cancer-a Danish retrospective cohort study of nearly 40,000 patients.Translational lung cancer research · 2023Article
- Long non‑coding RNA HCG11 suppresses the malignant phenotype of non‑small cell lung cancer cells by targeting a miR‑875/SATB2 axis.Molecular medicine reports · 2021Article
- Targeting lung cancer screening to individuals at greatest risk: the role of genetic factors.Journal of medical genetics · 2021Article
- Article
- DNA Repair Biomarker for Lung Cancer Risk and its Correlation With Airway Cells Gene Expression.JNCI cancer spectrum · 2020Article
- Risk prediction models for lung cancer: Perspectives and dissemination.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2019Article
- Non-intubated thoracoscopic surgery for lung cancer in patients with impaired pulmonary function.Annals of translational medicine · 2019Article
- Morbidity and associated factors of depressive disorder in patients with lung cancer.Cancer management and research · 2019Article
- Identifying high-risk individuals for lung cancer screening: Going beyond NLST criteria.PloS one · 2018Article
- Long Noncoding RNA CPS1-IT1 Suppresses Cell Proliferation and Metastasis in Human Lung Cancer.Oncology research · 2017Article
- [Surgical Treatment of Small Pulmonary Nodules Under Video-assisted Thoracoscopy (A Report of 129 Cases)].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2017Article
- Oral Cell DNA Adducts as Potential Biomarkers for Lung Cancer Susceptibility in Cigarette Smokers.Chemical research in toxicology · 2017Review
- Severity of pulmonary emphysema and lung cancer: analysis using quantitative lobar emphysema scoring.Medicine · 2016Article
- Cancer Salivary Biomarkers for Tumours Distant to the Oral Cavity.International journal of molecular sciences · 2016Review
- [Lung cancer and rheumatoid arthritis. An interdisciplinary challenge].Zeitschrift fur Rheumatologie · 2016Review
- Early screening of lung cancers: an effort arduous but worthwhile.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Low dose computed tomography (LDCT) is a viable screening tool for early lung cancer detection and mortality reduction. In practice, the success of any lung cancer screening programme will depend on successful identification of individuals at high risk in order to maximise the benefit-harm ratio. Risk prediction models incorporating multiple risk factors have been recognised as a method of identifying individuals at high risk of developing lung cancer. Identification of individuals at high risk will facilitate early diagnosis, reduce overall costs and also improve the current poor survival from lung cancer. This review summarises the current methods utilised in identifying high risk cohorts for lung cancer as proposed by the Liverpool Lung Project (LLP) risk model, Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial risk models and the prediction model for lung cancer death using quintiles. In addition, the cost-effectiveness of CT screening and future perspective for selecting high risk individuals is discussed.
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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.