Content of review 1, reviewed on April 13, 2025
The present study is well-designed, conducted, and reported. The study explored biomarkers and clinical factors that may predict disease progression in patients with GEP NETs. The methodology employed is innovative although a bit obscure for the readers of the Journal.
I suggest the authors add a short description of the association rule mining (ARM) methodology with plain language for the reader without expertise in this sophisticated methodology (i.e., clinicians).
At the bottom of page 11, there is a typing error: “Thus, CPE < 3.03 was associated with SD, whereas …..?..... was associated with PD”.
Source
© 2025 the Reviewer.
Content of review 2, reviewed on July 03, 2025
The authors adequately responded to my previous observation and briefly described examples of the association rule mining (ARM) methodology. Therefore, I suggest that the manuscript be accepted now.
Source
© 2025 the Reviewer.
References
Peter, K. U., Magnus, K., Henning, G., Espen, T., Camilla, S., Staffan, W., Halfdan, S., Pilar, S. M. d., Roger, B. 2025. Association rule mining of clinical and biomarker data in neuroendocrine tumors: A prospective study on disease progression. Journal of Neuroendocrinology.
