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Chronic Obstructive Lung Diseases and Risk of Non-small Cell Lung Cancer in Women
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“Since COPD increases the risk of lung cancer62, it is possible that an increase in G-CSF in smokers could be a biomarker of future cancer risk.”
From The effect of smoking on chronic inflammation, immune function and blood cell composition (2020) · cites this paper as [62]
In the citing paper
“Since COPD increases the risk of lung cancer62, it is possible that an increase in G-CSF in smokers could be a biomarker of future cancer risk.”
From The effect of smoking on chronic inflammation, immune function and blood cell composition (2020) · cites this paper as [62]
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Research works printed but not linked: 30
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Cited by
The effect of smoking on chronic inflammation, immune function and blood cell composition
Elisia, I., Lam, V., Cho, B., Hay, M., Li, M. Y., Yeung, M., Bu, L., Jia, W., Norton, N., Lam, S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-76556-7 · Cited by 263
Metadata
- Authors
- Schwartz, A. G., Cote, M. L., Wenzlaff, A. S., Van Dyke, A., Chen, W., Ruckdeschel, J. C., Gadgeel, S., & Soubani, A. O.
- Venue
- Journal of Thoracic Oncology
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 4
- Issue
- 3
- Pages
- 291-299
- ISSN
- 1556-0864
- Cited by
- 54
- References
- 0
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.