Development and validation of a clinical factor-based nomogram for predicting imaging-defined cardiopulmonary abnormality risk in an asymptomatic screening population

doi:10.4329/wjr.123894

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World Journal of Radiology

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1949-8470

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Radiol. Jul 28, 2026; 18(7): 123894
Published online Jul 28, 2026. doi: 10.4329/wjr.123894

Table 3 Variance inflation factor analysis of clinical characteristics with significant differences in the study population

Variable	VIF	Assessment (< 5)
Sex	1.397	Pass
Age	1.032	Pass
BMI	1.098	Pass
Metabolic status	1.111	Pass
Smoking history	1.334	Pass
Work style	1.101	Pass

All variance inflation factor values were below 5, indicating no significant multicollinearity among the clinical characteristics, confirming their suitability for inclusion in the multivariate regression model. BMI: Body mass index; VIF: Variance inflation factor.

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Citation: He ZY, Zhan ZW, Zhou LJ, Tang J, Chen C, Yang QJ, Tian Q, Wang XH. Development and validation of a clinical factor-based nomogram for predicting imaging-defined cardiopulmonary abnormality risk in an asymptomatic screening population. World J Radiol 2026; 18(7): 123894
URL: https://www.wjgnet.com/1949-8470/full/v18/i7/123894.htm
DOI: https://dx.doi.org/10.4329/wjr.123894

He ZY, Zhan ZW, Zhou LJ, Tang J, Chen C, Yang QJ, Tian Q, Wang XH. Development and validation of a clinical factor-based nomogram for predicting imaging-defined cardiopulmonary abnormality risk in an asymptomatic screening population. World J Radiol 2026; 18(7): 123894 [PMID: 42529724 DOI: 10.4329/wjr.123894]

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