Related Experiment Video
Updated: Apr 20, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
[Unnecessary operations in shoulder surgery: "table of confusion" applied to "field of confusion"]
Vilijam Zdravkovic1, Bernhard Jost1, Matthias A Zumstein2
1Klinik für Orthopädische Chirurgie und Traumatologie des Bewegungsapparates, Kantonsspital St. Gallen.
Abstract:
Attributing a surgical procedure as unnecessary or necessary is a binomial classifier that can be analysed in a so called "table of confusion". Ambroise Parré (1510 - 1590) observed that wound treatment with hot oil was harming instead of healing, and concluded that it should be discarded as "standard of care". Still today, the answer to the same question "What is the standard of care?" is decisive when an operation needs to be classified as "necessary" or "unnecessary". Patients' expectations can also influence the decision making process between surgical and conservative treatment options. Fracture of the humeral head is an example how two different surgical strategies (primary versus secondary joint replacement) can lead to "unnecessary" operation. However, it is only retrospectively that an operation appears unnecessary. Further factors that could be analysed are the delay between decision and operation (so called "test of time") and financial aspects. In conclusion, it is only objective and scientific analysis that can lead to viable standards of care for our practice. This is the only way to protect patients as well as surgeons from unnecessary operations.
Related Concept Videos
Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Receiver Operating Characteristic Plot
