ArticleiLIVER2022
Establishment of a risk assessment system for complications of hepatectomy based on preoperative variables.
Article in iLIVER, 2022. 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
3 authors.
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Abstract
Background and aims: To reduce the incidence of postoperative complications, it is important to predict them and intervene before surgery if necessary. However, there is no ideal system to evaluate the overall risk of postoperative complications of liver surgery on the basis of preoperative variables. Therefore, this study aimed to design and validate a risk assessment system to predict postoperative complications of hepatectomy on the basis of preoperative variables. Methods: Binomial logistic regression was used to derive the "hepatectomy overall risk formula" (HORF) for predicting postoperative complications on the basis of preoperative variables. Results: Multivariate analysis revealed that Child-Pugh grade B-C (odds ratio [OR] = 1.984, Conclusion: The HORF can accurately predict postoperative complications of hepatectomy on the basis of preoperative variables, and thus enables the determination of the necessity for intervention before surgery.
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