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Brief Summary

The primary aim of the study is to identify clinical, laboratory, imaging, and pathohistological risk factors for the development of pancreatogenic diabetes after partial resection of the pancreas (PRP) and, based on these, to build a predictive model that would enable reliable and accurate identification of patients who will develop pancreatogenic diabetes. A review of the literature shows that there is currently no validated tool available in clinical practice for identifying patients at risk of this type of diabetes after PRP. Etiological differences between type 2 diabetes and pancreatogenic diabetes often lead to late diagnosis, limiting opportunities for timely intervention. The development of a comprehensive predictive model would contribute to a better understanding of the pathophysiology of pancreatogenic diabetes, enable the identification of patients at risk, facilitate tailored clinical monitoring, and allow the implementation of targeted preventive or therapeutic measures in the perioperative period. Based on a review of the literature and clinical observations, the investigators formulated the following hypotheses: H1: Clinical, laboratory, imaging, and pathohistological variables are independently associated with the development of pancreatogenic diabetes after partial pancreatic resection. H2: A predictive model that allows reliable and accurate identification of patients who will develop pancreatogenic diabetes can be build based on the identified variables (H1). H3: A comprehensive predictive model in the perioperative period allows more precise identification of patients who will develop pancreatogenic diabetes, and thus more effective risk stratification compared to the use of individual risk factors (variables). Based on the reviewed literature and our own clinical observations, this constitutes an original contribution to science. The investigators expect that the research will identify key clinical, laboratory, imaging, and pathohistological factors associated with the development of pancreatogenic diabetes after partial pancreatic resection. The development of a clinically useful predictive model that will allow individual risk assessment for the development of pancreatogenic diabetes in patients after partial pancreatic resection is anticipated. A similar comprehensive model has not yet been described in the accessible literature. The research will contribute to a better understanding of metabolic changes and will enable the identification of patients who will develop pancreatogenic diabetes after partial pancreatic resection. The results of the study could provide a basis for improved perioperative monitoring of these patients in the field of pancreatogenic diabetes.

Outcome Measures

Primary Outcomes (1)

Development of pancreatogenic diabetes
Pancreatogenic diabetes will be assessed based on standard diagnostic criteria using oral glucose tolerance test.
3 months after surgery

Secondary Outcomes (5)

Insulin Resistance
Baseline to 3 months after surgery
Beta Cell Function
Baseline to 3 months after surgery
Prediction Model Performance
At 3 months after surgery
Patohistology of the Pancreas
immediately after the resection of the pancreas
CT of the abdomen
before the resection of the pancreas and 3 months after the resection

Study Arms (1)

Patients Undergoing Partial Pancreatectomy

This cohort includes adult patients undergoing partial pancreatectomy for various pancreatic diseases. Inclusion criteria: age ≥ 18 years, planned partial resection of the pancreas, absence of known diabetes mellitus, borderline basal glycemia, or impaired glucose tolerance before the procedure, signed written informed consent. Criteria for non-inclusion: known diabetes, borderline basal glycemia or impaired glucose tolerance before surgery (even if confirmed by OGTT before the procedure), inability to provide informed consent. Participants are prospectively followed to assess metabolic changes and the development of pancreatogenic diabetes. No experimental interventions are administered as part of the study; all patients receive standard clinical care. Data collection includes clinical, biochemical, imaging, and histopathological parameters.

Eligibility Criteria

Age18 Years+

Sexall

Healthy VolunteersNo

Age GroupsAdult (18-64), Older Adult (65+)

Sampling MethodNon-Probability Sample

Study Population

Adult patients undergoing partial pancreatectomy for pancreatic diseases at a tertiary care center, which correspond to inclusion and exclusion criteria.

You may qualify if:

age ≥ 18 years

Related Publications (28)

Lundberg S, Lee SI. A Unified Approach to Interpreting Model Predictions [Internet]. arXiv; 2017 [citirano 8. marec 2026]. Dostopno na: https://arxiv.org/abs/1705.07874 doi:10.48550/ARXIV.1705.07874

BACKGROUND

Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B, Ghassemi M, Liu X, Reitsma JB, van Smeden M, Boulesteix AL, Camaradou JC, Celi LA, Denaxas S, Denniston AK, Glocker B, Golub RM, Harvey H, Heinze G, Hoffman MM, Kengne AP, Lam E, Lee N, Loder EW, Maier-Hein L, Mateen BA, McCradden MD, Oakden-Rayner L, Ordish J, Parnell R, Rose S, Singh K, Wynants L, Logullo P. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ. 2024 Apr 16;385:e078378. doi: 10.1136/bmj-2023-078378.

PMID: 38626948BACKGROUND

Imamura S, Niwano F, Babaya N, Hiromine Y, Matsumoto I, Kamei K, Yoshida Y, Taketomo Y, Yoshida S, Takeyama Y, Noso S, Maeda N, Ikegami H. High Incidence of Diabetes Mellitus After Distal Pancreatectomy and Its Predictors: A Long-term Follow-up Study. J Clin Endocrinol Metab. 2024 Feb 20;109(3):619-630. doi: 10.1210/clinem/dgad634.

Prediction of Pancreatogenic Diabetes After Partial Resection of the Pancreas

Brief Summary

Registry Overview

Trial Relationships

Study Timeline

Study Start

First Submitted

First Posted

Primary Completion

Study Completion

Conditions

Keywords

Outcome Measures

Primary Outcomes (1)

Secondary Outcomes (5)

Study Arms (1)

Patients Undergoing Partial Pancreatectomy

Eligibility Criteria

You may qualify if:

Sponsors & Collaborators

Study Sites (1)

Related Publications (28)

Study Officials

Central Study Contacts

Study Design

Study Record Dates

You may not qualify if:

Data Sharing

Source record

Locations

Brief Summary

Registry Overview

Trial Relationships

Related Scientific Literature

Study Timeline

Study Start

First Submitted

First Posted

Primary Completion

Study Completion

Conditions

Keywords

Outcome Measures

Primary Outcomes (1)

Secondary Outcomes (5)

Study Arms (1)

Patients Undergoing Partial Pancreatectomy

Eligibility Criteria

You may qualify if:

Sponsors & Collaborators

Study Sites (1)

Related Publications (28)

Study Officials

Central Study Contacts

Study Design

Study Record Dates

You may not qualify if:

Data Sharing

Source record

Locations