- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04164602
The Occurence of Pancreatic Cancer Studied in Association With Newly Diagnosed Diabetes in the Elderly (NODES)
April 18, 2023 updated by: University of Pecs
New Onset of DiabetEs in aSsociation With Pancreatic Cancer
The aim of this study is to accomplish the early diagnosis of pancreatic cancer, in patients over 60 years of age with newly diagnosed diabetes.
Only patients with type 2 diabetes are meant to be included.
The early diagnosis of pancreatic cancer could be the way to enable efficient cure for the patients.
Study Overview
Status
Recruiting
Detailed Description
The prognosis of pancreatic cancer is extremely unpleasant, which can be characterized with a 5-year survival rate of only about 6%.
The disease usually pertaining no symptoms at the early phase, this might be one of the causes why it is discovered at a relatively late, inoperable stage - in most of the cases.
The success of reducing the high mortality rate of pancreatic cancer could depend on the significant development of early diagnosis and also prevention programs.
As the lifetime prevalence of pancreatic cancer is only 1.39%, screening through the whole population would be extremely expensive and difficult to manage.
It would be recommended for all the individuals at high risk for pancreatic cancer to be examined.
Patients newly diagnosed with diabetes have an approximately 8-fold risk for developing this type of cancer, compared to the average population.
In addition to this age is also known as an independent risk factor for the pancreatic cancer.
Recently there has been a biomarker panel identified, which may distinguish between pancreatic cancer and chronic pancreatitis in patients, with high sensitivity and specificity.
The aim of this study is to accomplish the early diagnosis of pancreatic cancer, in patients over 60 years of age with newly diagnosed diabetes mellitus using a specific biomarker panel.
Only patients with type 2 diabetes are meant to be included.
Diabetes is classified by determining C-peptide levels, representing the endogenous insulin synthesis, also detecting glutamic acid decarboxylase (GADA) antibodies, the autoantibody against the pancreatic islet cells.
The early diagnosis of pancreatic cancer could be the way to enable efficient cure for the patients.
Study Type
Observational
Enrollment (Anticipated)
2522
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Dóra Illés, MD
- Phone Number: +36 20 232 93 65
- Email: olionx@gmail.com
Study Contact Backup
- Name: László Czakó, MD, PhD, DSc
- Phone Number: +36 20 331 5645
- Email: czako.laszlo@med.u-szeged.hu
Study Locations
-
-
Csongrád
-
Szeged, Csongrád, Hungary, 6725
- Recruiting
- First Department of Medicine, Albert Szent-Györgyi Medical and Pharmaceutical Centre, University of Szeged
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
60 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Sampling Method
Probability Sample
Study Population
All the patients who meet the inclusion criteria will be included in the study at the participating centers at the Diabetology of the specialized outpatient clinics and also the GP practices involved.
Patients, regardless of their gender as the daily patient population over 60 years of age and diagnosed with diabetes within 6 months.
Description
Inclusion Criteria:
- patients over 60 years of age
- diabetes diagnosed within six months (newly diagnosed)
- signed written informed consent
Exclusion Criteria:
- continous alcohol abuse
- chronic pancreatitis
- previous pancreas operation/pancreatectomy
- pregnancy
- present malignant disease
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
|
elderly patients with newly diagnosed diabetes
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
incidence of pancreatic ductal adenocarcinoma in patients with new-onset diabetes
Time Frame: 36 months
|
This will be evaluated using yes/no questions on carcinoma ductale, then the data will be summarized in order to determine the incidence.
|
36 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
mortality of pancreatic ductal adenocarcinoma in new-onset diabetic patients
Time Frame: 36 months
|
This will be evaluated using yes/no questions as part of a questionnaire filled out by the doctor who examines the patients.
|
36 months
|
|
the proportion of localised and resectable pancreatic ductal adenocarcinoma
Time Frame: 36 months
|
Will be appraised after collecting and summarizing all the collected medical information.
|
36 months
|
|
change in body weight
Time Frame: 36 months
|
Measuring the body weight of the patient and the data is recorded in the questionaire.
|
36 months
|
|
Change in fasting blood glucose and HbA1c
Time Frame: 36 months
|
Based on the laboratory measurements.
|
36 months
|
|
Antidiabetic medications and the risk of pancreatic ductal adenocarcinoma
Time Frame: 36 months
|
According to the anwers of the patients recorded on the questionnaire.
|
36 months
|
|
presence of concomitant diseases
Time Frame: 36 months
|
According to the physical examinations and laboratory parameters also the anwers of the patients recorded on the questionnaire
|
36 months
|
|
smoking and alcohol intake
Time Frame: 36 months
|
According to the anwers of the patients recorded on the questionnaire.
|
36 months
|
|
The sensitivity, specificity, positive and negative predictive values, and accuracy of the biomarker test
Time Frame: 36 months
|
Will be appraised after collecting and summarizing all the collected medical information.
|
36 months
|
|
Cost-benefit analysis
Time Frame: 36 months
|
Healthcare cost spent on each patient will be calculated by a healthcare economist after the trial is completed.
|
36 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Study Chair: Péter Hegyi, MD, PhD, DSc, Insitute for Translational Medicine, Medical School, University of Pécs, HU
- Principal Investigator: László Czakó, MD, PhD, DSc, First Department of Medicine University of Szeged, HU
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Rahib L, Smith BD, Aizenberg R, Rosenzweig AB, Fleshman JM, Matrisian LM. Projecting cancer incidence and deaths to 2030: the unexpected burden of thyroid, liver, and pancreas cancers in the United States. Cancer Res. 2014 Jun 1;74(11):2913-21. doi: 10.1158/0008-5472.CAN-14-0155. Erratum In: Cancer Res. 2014 Jul 15;74(14):4006.
- Brand RE, Lerch MM, Rubinstein WS, Neoptolemos JP, Whitcomb DC, Hruban RH, Brentnall TA, Lynch HT, Canto MI; Participants of the Fourth International Symposium of Inherited Diseases of the Pancreas. Advances in counselling and surveillance of patients at risk for pancreatic cancer. Gut. 2007 Oct;56(10):1460-9. doi: 10.1136/gut.2006.108456.
- Chari ST, Leibson CL, Rabe KG, Ransom J, de Andrade M, Petersen GM. Probability of pancreatic cancer following diabetes: a population-based study. Gastroenterology. 2005 Aug;129(2):504-11. doi: 10.1016/j.gastro.2005.05.007.
- Huxley R, Ansary-Moghaddam A, Berrington de Gonzalez A, Barzi F, Woodward M. Type-II diabetes and pancreatic cancer: a meta-analysis of 36 studies. Br J Cancer. 2005 Jun 6;92(11):2076-83. doi: 10.1038/sj.bjc.6602619.
- Ben Q, Xu M, Ning X, Liu J, Hong S, Huang W, Zhang H, Li Z. Diabetes mellitus and risk of pancreatic cancer: A meta-analysis of cohort studies. Eur J Cancer. 2011 Sep;47(13):1928-37. doi: 10.1016/j.ejca.2011.03.003. Epub 2011 Mar 31.
- Pannala R, Basu A, Petersen GM, Chari ST. New-onset diabetes: a potential clue to the early diagnosis of pancreatic cancer. Lancet Oncol. 2009 Jan;10(1):88-95. doi: 10.1016/S1470-2045(08)70337-1.
- Illes D, Terzin V, Holzinger G, Kosar K, Roka R, Zsori G, Abraham G, Czako L. New-onset type 2 diabetes mellitus--A high-risk group suitable for the screening of pancreatic cancer? Pancreatology. 2016 Mar-Apr;16(2):266-71. doi: 10.1016/j.pan.2015.12.005. Epub 2015 Dec 23.
- Hart PA, Kamada P, Rabe KG, Srinivasan S, Basu A, Aggarwal G, Chari ST. Weight loss precedes cancer-specific symptoms in pancreatic cancer-associated diabetes mellitus. Pancreas. 2011 Jul;40(5):768-72. doi: 10.1097/MPA.0b013e318220816a.
- Munigala S, Singh A, Gelrud A, Agarwal B. Predictors for Pancreatic Cancer Diagnosis Following New-Onset Diabetes Mellitus. Clin Transl Gastroenterol. 2015 Oct 22;6(10):e118. doi: 10.1038/ctg.2015.44.
- Mayerle J, Kalthoff H, Reszka R, Kamlage B, Peter E, Schniewind B, Gonzalez Maldonado S, Pilarsky C, Heidecke CD, Schatz P, Distler M, Scheiber JA, Mahajan UM, Weiss FU, Grutzmann R, Lerch MM. Metabolic biomarker signature to differentiate pancreatic ductal adenocarcinoma from chronic pancreatitis. Gut. 2018 Jan;67(1):128-137. doi: 10.1136/gutjnl-2016-312432. Epub 2017 Jan 20. Erratum In: Gut. 2018 May;67(5):994.
- Illes D, Ivany E, Holzinger G, Kosar K, Adam MG, Kamlage B, Zsori G, Tajti M, Svebis MM, Horvath V, Olah I, Marta K, Vancsa S, Zadori N, Szentesi A, Czako B, Hegyi P, Czako L. New Onset of DiabetEs in aSsociation with pancreatic ductal adenocarcinoma (NODES Trial): protocol of a prospective, multicentre observational trial. BMJ Open. 2020 Nov 19;10(11):e037267. doi: 10.1136/bmjopen-2020-037267.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
October 9, 2019
Primary Completion (Anticipated)
December 31, 2024
Study Completion (Anticipated)
June 30, 2025
Study Registration Dates
First Submitted
November 12, 2019
First Submitted That Met QC Criteria
November 12, 2019
First Posted (Actual)
November 15, 2019
Study Record Updates
Last Update Posted (Actual)
April 19, 2023
Last Update Submitted That Met QC Criteria
April 18, 2023
Last Verified
April 1, 2023
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 41085-6/2019EÜIG
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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