scispace - formally typeset
K

Ksenija Slankamenac

Researcher at University of Zurich

Publications -  63
Citations -  12652

Ksenija Slankamenac is an academic researcher from University of Zurich. The author has contributed to research in topics: Hepatectomy & Emergency department. The author has an hindex of 27, co-authored 60 publications receiving 9463 citations. Previous affiliations of Ksenija Slankamenac include University of Strasbourg.

Papers
More filters
Journal ArticleDOI

The Clavien-Dindo classification of surgical complications: five-year experience.

TL;DR: This 5-year evaluation provides strong evidence that the classification of complications is valid and applicable worldwide in many fields of surgery, and subjective, inaccurate, or confusing terms such as “minor or major” should be removed from the surgical literature.
Journal ArticleDOI

The comprehensive complication index: a novel continuous scale to measure surgical morbidity.

TL;DR: The CCI summarizes all postoperative complications and is more sensitive than existing morbidity endpoints and may serve as a standardized and widely applicable primary endpoint in surgical trials and other interventional fields of medicine.
Journal ArticleDOI

The impact of complications on costs of major surgical procedures: a cost analysis of 1200 patients.

TL;DR: This study demonstrates the dramatic impact of postoperative complications on full in-hospital costs per case and that complications are the strongest indicator of costs.
Journal ArticleDOI

Global patient outcomes after elective surgery: Prospective cohort study in 27 low-, middle- and high-income countries

T. Ahmad, +2519 more
TL;DR: Despite lower baseline risk, outcomes were similar in low- and middle-income compared with high-income countries and should also address the need for safe perioperative care.
Journal ArticleDOI

Are There Better Guidelines for Allocation in Liver Transplantation? A Novel Score Targeting Justice and Utility in the Model for End-Stage Liver Disease Era

TL;DR: The BAR system provides a new, simple and reliable tool to detect unfavorable combinations of donor and recipient factors, and is readily available before decision making of accepting or not an organ for a specific recipient.