ArticleThoracic cancer2015
China national lung cancer screening guideline with low-dose computed tomography (2015 version).
Article in Thoracic cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 7 of them syntheses that pooled it.
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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.
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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.
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Who cites it
42 citing papers in PubMed, 7 syntheses or guidelines pooled it, 88 citations in OpenAlex.
- The prevalence of comorbidity in the lung cancer screening population: A systematic review and meta-analysis.Journal of medical screening · 2023Pooled it
- [China National Lung Cancer Screening Guideline with Low-dose Computed Tomography (2023 Version)].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023Guideline
- Impact of low-dose computed tomography (LDCT) screening on lung cancer-related mortality.The Cochrane database of systematic reviews · 2022Pooled it
- Recommendations from the European Society of Thoracic Surgeons (ESTS) regarding computed tomography screening for lung cancer in Europe.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2017Guideline
- Necessity of organized low-dose computed tomography screening for lung cancer: From epidemiologic comparisons between China and the Western nations.Oncotarget · 2017Pooled it
- [China National Guideline of Classification, Diagnosis and Treatment for Lung Nodules (2016 Version)].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2016Guideline
- [Systematic Review of the Methodology Quality in Lung Cancer Screening Guidelines].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2016Pooled it
- Glycomic Signatures of Plasma IgG Improve Preoperative Prediction of the Invasiveness of Small Lung Nodules.Molecules (Basel, Switzerland) · 2019Trial
- Trends in lung cancer incidence and mortality and the potential for overdiagnosis associated with computed tomography screening across 21 countries on six continents.Journal of thoracic disease · 2026Article
- Recruitment strategies and outcomes in lung cancer screening programmes: a scoping review.European radiology · 2026Article
- [China National Lung Cancer Screening Guideline with Low-dose Computed Tomography (2025 Version)].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2025Article
- Gender-specific outcomes of low-dose computed tomography screening for lung cancer detection: A retrospective study in Chinese never-smoker population.Cancer medicine · 2024Article
- LDCT screening results among eligible and ineligible screening candidates in preventive health check-ups population: a real world study in West China.Scientific reports · 2024Article
- CYP3A4 gene expression discloses individual differences in postoperative pain susceptibility and drug treatment response in patients with lung cancer.International journal of clinical and experimental pathology · 2024Article
- The impact of low-dose CT on smoking behavior among non-smokers, former-smokers, and smokers: A population-based screening cohort in rural China.Cancer medicine · 2023Article
- Epidemiological and demographic drivers of lung cancer mortality from 1990 to 2019: results from the global burden of disease study 2019.Frontiers in public health · 2023Article
- Age does matter in adolescents and young adults vs. older adults with lung adenocarcinoma: A retrospective analysis comparing clinical characteristics and outcomes in response to systematic treatments.Oncology letters · 2022Article
- Lung cancer risk following previous abnormal chest radiographs: A 27-year follow-up study of a Chinese lung screening cohort.Thoracic cancer · 2021Article
- Determining cost-effectiveness of lung cancer screening in urban Chinese populations using a state-transition Markov model.BMJ open · 2021Article
- Comparison of clinical diagnostic value of spiral CT with different dose in patients with early-stage peripheral lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021Article
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 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung cancer is the leading cause of cancer-related death in China. Results from a randomized controlled trial using annual low-dose computed tomography (LDCT) in specific high-risk groups demonstrated a 20% reduction in lung cancer mortality.
methodsA China national lung cancer screening guideline was developed by lung cancer early detection and treatment expert group appointed by the National Health and Family Planning Commission, based on results of the National Lung Screening Trial, systematic review of evidence related to LDCT screening, and protocol of lung cancer screening program conducted in rural China.
resultsAnnual lung cancer screening with LDCT is recommended for high risk individuals aged 50-74 years who have at least a 20 pack-year smoking history and who currently smoke or have quit within the past five years. Individualized decision making should be conducted before LDCT screening. LDCT screening also represents an opportunity to educate patients as to the health risks of smoking; thus, education should be integrated into the screening process in order to assist smoking cessation.
conclusionsA lung cancer screening guideline is provided for the high-risk population in China.
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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.