SynthesisFrontiers in oncology2024
The infiltration risk prediction models by logistic regression for ground-glass pulmonary nodules: a systematic review and meta-analysis.
Synthesis in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Construction and validation of a prediction model for malignant pulmonary nodules based on imaging, demographic, and laboratory features.Frontiers in oncology · 2026Article
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6 authors.
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Abstract
Methods: CNKI, Wanfang, VIP, Sinomed, Pubmed, Web of Science, Embase, and other databases were searched. The retrieval time was from the establishment of the database to January 31, 2024. We included all predictive models for the invasion of ground-glass pulmonary nodules established. The modeling group was patients with a pathological diagnosis of ground-glass pulmonary nodules. Two researchers screened the literature, established an Excel table for information extraction, used SPSS 25.0 to perform frequency statistics of each independent risk factor, and used Revman 5.4 software for meta-analysis. Results: A total of 29 articles were included, involving 30 independent risk factors, with a cumulative frequency of 99 times. There were 16 risk factors with a frequency of ≥2 times, a total of 85 times, accounting for 85.86%. The meta-analysis showed the following: average CT value (MD = 75.57 HU, 95%CI: 44.40-106.75), maximum diameter (MD = 4.99 mm, 95%CI: 4.22-5.77), vascular convergence sign (OR = 11.16, 95%CI: 6.71-18.56), lobulation sign (OR = 3.80, 95%CI: 1.59-9.09), average diameter (MD = 4.46 mm, 95%CI: 3.44-5.48), maximum CT value (MD = 112.52 HU, 95%CI: 8.08-216.96), spiculation sign (OR = 4.46, 95%CI: 2.03-9.81), volume (MD = 1,069.37 mm Conclusion: The included model has a good predictive performance for the invasion of ground-glass nodules. The independent risk factors included in the model can help medical workers to identify the high-risk groups of invasive lung cancer in ground-glass nodules in time and improve the prognosis.
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