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Interpretation by clinicians of probability expressions in cytology reports and effect on clinical decision-making
M M Christopher1, C S Hotz, S M Shelly
1Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA. mmchristopher@ucdavis.edu
Background:
Cytology often is used to obtain a diagnosis, such as that of malignant neoplasia. When a diagnosis is uncertain, pathologists often express probability using qualitative terms, such as "probable," that have imprecise meanings.
Hypothesis:
Terms expressing probability are interpreted variably by veterinary practitioners and affect decisions regarding treatment and euthanasia.
Animals:
None.
Methods:
An online survey of members of the Veterinary Information Network was conducted. Veterinarians were asked to assign percentage probabilities to 18 modifiers of a diagnosis of lymphoma. They also were asked to select their most likely clinical action based on a diagnosis of lymphoma qualified one of 4 modifiers. Results were analyzed using descriptive and nonparametric methods. Percentage probabilities were analyzed by ANOVA after variance stabilization.
Results:
For 871 valid surveys, probabilities assigned to the 18 modifiers overlapped substantially, with medians (interquartile range) of 50% (50-70%) for "possible," 66% (66-85%) for "probable," and 70% (70-90%) for "consistent with." More (P < .001) veterinarians (50.4%) chose to initiate treatment with a diagnosis of "consistent with lymphoma" as compared with "probable" (14.6%) or "possible" (1.6%) lymphoma. For clients considering euthanasia if the diagnosis was cancer, more (P < .001) veterinarians recommended euthanasia with a diagnosis of "consistent with lymphoma" (62.5%) as compared with "probable" (35.3%), or "possible" (2.0%) lymphoma.
Conclusions And Clinical Importance:
Probability expressions are interpreted variably yet have a major impact on clinical decision-making, including the decision to recommend euthanasia. Standardized terminology could improve decision-making and enhance clinical outcome.
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