Daniel Dindo is a surgeon identified by his hospital's physician record with surgery and proctology. He is the first named author, with Nicolas Demartines and Pierre-Alain Clavien, of the 2004 paper underlying the revised Clavien-Dindo classification.[ref][ref]
The paper tested its scheme in a cohort of 6336 patients and an international surgeon survey. In the cohort analysis, patients with multiple complications were represented by their most severe complication.[ref]
Classification of Surgical Complications: A New Proposal With Evaluation in a Cohort of 6336 Patients and Results of a Survey by Daniel Dindo and others. Patients and Methods; Validation of the Modified Classification
That is an explicit data-summary choice, not a claim that additional events never matter.An original example distinguishes surgical complication count versus patient incidence. Among three hypothetical patients, suppose the first has grade I and grade II events, the second has one grade II event, and the third has none. There are three events in two affected patients. Patient incidence is , while events per patient is . These quantities have different denominators and interpretations.
Recording only each patient's highest grade represents the first two patients as grade II in both cases, despite their different event counts. That summary can be appropriate for a severity-focused endpoint, while another question may require counts, timing or the complete event history. An analysis should define the outcome before interpreting its percentage.
Reproducibility is another measurement issue. If two raters assign the same category to 18 of 20 case descriptions, their raw agreement is . That number alone does not prove clinical validity or describe how consequential the two disagreements were. Inter-rater reliability and the suitability of the classification for a particular question are related but distinct considerations.
Dindo's documented contribution is authorship of the joint proposal and evaluation. The small patient and rater examples above explain why standardized definitions and transparent aggregation matter; they are not additional observations from his published cohort.
Articles by others on the same topic
There are currently no matching articles.