ArticleThe Journal of international medical research2021
Prediction model that combines with multidisciplinary analysis for clinical evaluation of malignancy risk of solid breast nodules.
Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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Abstract
objectiveFew studies have systematically developed predictive models for clinical evaluation of the malignancy risk of solid breast nodules. We performed a retrospective review of female patients who underwent breast surgery or puncture, aiming to establish a predictive model for evaluating the clinical malignancy risk of solid breast nodules.
methodMultivariable logistic regression was used to identify independent variables and establish a predictive model based on a model group (207 nodules). The regression model was further validated using a validation group (112 nodules).
resultsWe identified six independent risk factors (X
conclusionThis predictive model is simple, practical, and effective for evaluation of the malignancy risk of solid breast nodules in clinical settings.
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