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| ID | Type | Description | Link |
|---|---|---|---|
| STU25020081 | Other Identifier | Univo Institutional Review Board | |
| ONC-15162 | Other Identifier | Contract Research Organization |
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The Early Detection Initiative for Pancreatic Cancer is a multi-center prospective study to determine if algorithm-based screening in patients with glycemically defined new onset hyperglycemia and diabetes has the potential for earlier detection of pancreatic ductal adenocarcinoma.
The Early Detection Initiative (EDI), is designed to prospectively evaluate the performance characteristics of the Enriching New-onset Diabetes for Pancreatic Cancer (ENDPAC) model to enrich glycemically defined new-onset diabetes for pancreatic cancer. The study will also determine with elevated ENDPAC score occurs at a clinically meaningful lead time (>/= 4 months) before pancreatic cancer diagnosis.
Eligible patients are identified and enrolled based on a first-time elevation in fasting blood glucose parameters or glycated hemoglobin (HbA1c) to the level indicating glycemically defined new-onset diabetes as derived from records in their EMR. At sites performing the Intervention component of the study, all enrolled participants will have the Enriching New-onset Diabetes for Pancreatic Cancer (ENDPAC) score calculated using age, body weight and glucose or glycated hemoglobin values in their EMR. Patients with high ENDPAC score (>0) are approached for informed consent to participate in up to two imaging studies by computerized tomography (CT) scan or magnetic resonance imaging (MRI). In addition to imaging, participants will be asked to complete a study questionnaire. At sites that do not perform the Intervention component of the study, participants will be identified, enrolled, and followed by EMR data only. All enrolled participants are followed for development of PDAC.
This study is performed at locations with broad (institutional) consent for use of patient EMR information for research studies. Passive follow-up by EMR will occur for three years following enrollment. Any patient that has declined participation in EMR-based research at the institution is not included in the study.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intervention Arm (Site) | Experimental | Two interventions are performed:
|
|
| Observation Arm (Site) | No Intervention | Passive follow-up by electronic medical record for study endpoints of pancreatic cancer diagnosis. |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Enriching New-onset Diabetes for Pancreatic Cancer (ENDPAC) score | Other | ENDPAC is a model to risk-stratify patients with new onset diabetes and hyperglycemia for PDAC. Score is calculated using i) age, ii) change, over past year, in body weight and iii) change, over past year, in glucose/HbA1c values obtained from the electronic medical record. |
| Measure | Description | Time Frame |
|---|---|---|
| Validate the ENDPAC model | Prospectively validate the ENDPAC model. | Baseline and approximately every six months for up to three years |
| Quantify potentially clinically meaningful lead time for earlier detection of PDAC | Measure the duration from G-NOD to date of clinical diagnosis of PDAC. | Baseline and approximately every six months for up to three years |
| Measure | Description | Time Frame |
|---|---|---|
| Evaluate the risk of PDAC in G-NOD | Estimate the risk of PDAC in G-NOD in the average risk population including potentially clinically meaningful lead time for earlier detection of PDAC. | Baseline and approximately every six months for up to three years |
| Proportion of incidental findings on imaging |
| Measure | Description | Time Frame |
|---|---|---|
| Stage of disease at PDAC diagnosis | Evaluate the distribution and stage of disease at the time of PDAC diagnosis in participants with and without study imaging. | Baseline and approximately every six months for up to three years |
| Glycemic parameters for ENDPAC model |
Inclusion Criteria:
A. Glycated hemoglobin (HbA1c) ≥ 6.5%
OR
B. Any (2) PDMs on consecutive (≤90 days between PDMs) or simultaneous testing:
OR
C. Any one (1) PDM present followed by an anti- diabetes medication ≤90 days after the index PDM date
Exclusion Criteria:
Patient has declined institutional consent for minimal risk studies.
Patient must not have any known past history of hyperglycemia and/or diabetes as defined by inclusion criteria A, B, or C
*Transient diabetes (e.g. gestational and steroid-induced) is not an exclusion.
Patient must not be on ongoing active treatment for cancer, and/or carry a current diagnosis of any cancer (except non-melanoma skin cancer). Non-invasive cancer of any organ (carcinoma-in-situ/high grade dysplasia) is not an exclusion.
*Ongoing work up for suspicion of pancreatic cancer is not an exclusion.
Patient must not have had a definitive diagnosis of pancreatic cancer prior to index PDM date.
Patient must not be on any anti-diabetes medications prior to index PDM date.
Patient must not be on chronic or acute use of steroid medications ≤90 days prior to the index PDM date.
*Allowed: Nasal, topical steroids, oral budesonide, ophthalmic
Patient must not have had an intra-articular steroid injection ≤ 7 days prior to the index PDM date.
Patient must have values available in the EMR to calculate the ENDPAC score.
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| Name | Affiliation | Role |
|---|---|---|
| Suresh Chari, MD | M.D. Anderson Cancer Center | Study Chair |
| Anirban Maitra, MBBS | M.D. Anderson Cancer Center | Principal Investigator |
| Bechien Wu, MD | Kaiser Permanente | Principal Investigator |
| Avinash Kambadakone-Ramesh, MD, FRCR | Massachusetts General Hospital | Principal Investigator |
| Ziding Feng, PhD | Fred Hutchinson Cancer Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Kaiser Permanente Southern California, Kaiser Permanente Research | Pasadena | California | 91101 | United States | ||
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 40633624 | Background | Chari ST, Wu B, Lopez C, Lustigova E, Chen Q, Van Den Eeden SK, Leimpeter AD, Fisher W, Wood A, Alexander AS, Valenta J, Vege SS, Carlson EE, Rabe KG, Hart PA, Qian L, Zhao YQ, Yosuf N, Matrisian L, Kenner B, Rinaudo JA, Maitra A, Feng Z. Risk of Pancreatic Cancer in Glycemically Defined New-Onset Diabetes: A Prospective Cohort Study. Gastroenterology. 2026 Jan;170(1):106-117. doi: 10.1053/j.gastro.2025.06.025. Epub 2025 Jul 7. | |
| 29775599 |
| Label | URL |
|---|---|
| Pancreatic Cancer Action Network Early Detection Initiative | View source |
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| ID | Term |
|---|---|
| D006943 | Hyperglycemia |
| D003920 | Diabetes Mellitus |
| D015431 | Weight Loss |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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Post-enrollment consent
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|
| Abdominal imaging | Other | Using computerized tomography (CT) scan or magnetic resonance imaging (MRI), if CT scan is contra-indicated, patients with a high ENDPAC score (>0) are approached for informed consent to participate in the imaging intervention. Imaging (CT scan) is performed at up to two time points, study baseline and approximately 3-9 months following the first imaging study. |
|
Evaluate, on imaging at the time of G-NOD, the proportion with incidental findings including those that require clinical work-up. |
| Baseline and imaging follow-up visit, up to 9 months |
| Risk of PDAC by subgroups | Estimate the risk of PDAC in the study population by racial and ethnic groups. | Baseline and approximately every six months for up to three years |
| Reasons consent for intervention was declined | Evaluate the reasons invited participants decline consent for imaging intervention. | Baseline and approximately every six months for up to five years |
Compare original ENDPAC score model to the modified ENDPAC score in the proportion of PDAC captured and lead time. |
| Baseline and approximately every six months for up to three years |
| ENDPAC model by subgroups | Evaluate the proportion of PDAC captured and distribution of lead time across racial and ethnic populations. | Baseline and approximately every six months for up to three years |
| Depression and Anxiety as early indicators | Capture the proportion of PDAC with symptoms of depression and anxiety, and how early it occurs before clinical diagnosis. | Baseline visit |
| Baylor College of Medicine |
| Houston |
| Texas |
| 77030 |
| United States |
| Background |
| Sharma A, Kandlakunta H, Nagpal SJS, Feng Z, Hoos W, Petersen GM, Chari ST. Model to Determine Risk of Pancreatic Cancer in Patients With New-Onset Diabetes. Gastroenterology. 2018 Sep;155(3):730-739.e3. doi: 10.1053/j.gastro.2018.05.023. Epub 2018 Jun 11. |
| 29723506 | Background | Sharma A, Smyrk TC, Levy MJ, Topazian MA, Chari ST. Fasting Blood Glucose Levels Provide Estimate of Duration and Progression of Pancreatic Cancer Before Diagnosis. Gastroenterology. 2018 Aug;155(2):490-500.e2. doi: 10.1053/j.gastro.2018.04.025. Epub 2018 Apr 30. |
| 16083707 | Background | 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. |
| 33583686 | Background | Khan S, Safarudin RF, Kupec JT. Validation of the ENDPAC model: Identifying new-onset diabetics at risk of pancreatic cancer. Pancreatology. 2021 Apr;21(3):550-555. doi: 10.1016/j.pan.2021.02.001. Epub 2021 Feb 8. |
| 32112260 | Background | Chen W, Butler RK, Lustigova E, Chari ST, Wu BU. Validation of the Enriching New-Onset Diabetes for Pancreatic Cancer Model in a Diverse and Integrated Healthcare Setting. Dig Dis Sci. 2021 Jan;66(1):78-87. doi: 10.1007/s10620-020-06139-z. Epub 2020 Feb 28. |
| 34954100 | Derived | Chari ST, Maitra A, Matrisian LM, Shrader EE, Wu BU, Kambadakone A, Zhao YQ, Kenner B, Rinaudo JAS, Srivastava S, Huang Y, Feng Z; Early Detection Initiative Consortium. Early Detection Initiative: A randomized controlled trial of algorithm-based screening in patients with new onset hyperglycemia and diabetes for early detection of pancreatic ductal adenocarcinoma. Contemp Clin Trials. 2022 Feb;113:106659. doi: 10.1016/j.cct.2021.106659. Epub 2021 Dec 23. |
| D001836 | Body Weight Changes |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |