Key result
Prognostic scales and expert assessments improve prediction of postoperative complications and mortality in surgical cancer patients.
Why the study?
To analyze objective methods and evaluate the need for prognostic scales in the intensive care unit for predicting complications and mortality in cancer patients after elective surgery.
Do prognostic scales accurately predict the risk of complications and mortality in cancer patients after elective surgery in the intensive care unit?
Do prognostic scales accurately predict the risk of complications and mortality in cancer patients after elective surgery in the intensive care unit?
Answers are grounded in this paper and cite their sources.
Prognostic scales are necessary for objectively assessing the severity of cancer patients admitted to the ICU after elective surgery to predict complications and mortality.
Purpose of the review . Analysis of the objective methods to evaluate the need for prognostic scalesin the intensive care unit for predicting the risk of complications and mortality of cancer patients after elective surgery. The review considers methods for an objective assessment of the severity of the condition of patients in the intensive care unit of the oncological surgical profile: prognostic scales and expert evaluations. We have analyzed studies of foreign and Russian experts about comparing the best of the different prognostic scales in clinical practice for post-elective surgical cancer patients. Conclusion . Our review considers the need for an objective value of the severity of patients on admission to the intensive care unit for elective oncological surgeries by using prognostic scales. Further researchand selection of the most effective prognostic score complying with the principles of evidence-based medicine for this group of patients have a goodprospect.
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Pchelintseva et al. (2020) conducted a review in Postoperative oncological surgical patients. Prognostic scales and expert evaluations was evaluated. Prognostic scales and expert evaluations provide a necessary objective assessment of condition severity to predict complications and mortality in cancer patients after elective surgery.
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