Validation of a risk-based algorithm to reduce poor operative outcomes after complex surgery for ovarian cancer.
Deepa Maheswari NarasimhuluAnna FagottiGiovanni ScambiaAmy L WeaverMichaela McGreeLorena QuagliozziCarrie L LangstraatAmanika KumarWilliam A ClibyPublished in: International journal of gynecological cancer : official journal of the International Gynecological Cancer Society (2022)
The evidence-based triage algorithm identifies patients at high risk of morbidity/mortality after cytoreductive surgery. Triage high-risk patients are poor candidates for surgery when complex surgery is required. This algorithm has been validated in heterogeneous settings (internal, national, and international) and degree of surgical complexity. Risk-based decision making should be standard of care when planning surgery for patients with advanced ovarian cancer, whether primary or interval surgery.
Keyphrases
- minimally invasive
- coronary artery bypass
- end stage renal disease
- emergency department
- machine learning
- newly diagnosed
- ejection fraction
- healthcare
- chronic kidney disease
- decision making
- deep learning
- prognostic factors
- peritoneal dialysis
- palliative care
- quality improvement
- percutaneous coronary intervention
- atrial fibrillation
- dna methylation
- coronary artery disease
- health insurance