- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05132244
Monitoring and Managing Glucose Levels in People With Pancreatic Cancer (PEGASUS)
September 10, 2026 updated by: British Columbia Cancer Agency
Pancreatic Cancer Glucose Assessment and Regulation Study
This study will investigate the prevalence of hyperglycemia (high blood sugar) in approximately 50 participants with pancreatic cancer.
Sugar levels will be monitored with blood draws prior to each cycle of anti-cancer treatment until treatment ends or the participant's cancer worsens.
Participants may receive any first-line systemic therapy for pancreatic cancer, including treatments given as part of another clinical trial.
If treatment is needed to manage blood sugar levels, the treatment will be given according to the standard of care.
All participants will be enrolled into the same group.
Study Overview
Status
Recruiting
Intervention / Treatment
Study Type
Interventional
Enrollment (Estimated)
50
Phase
- Not Applicable
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: Daniel Renouf, MD, MPH
- Phone Number: 800-663-3333
- Email: drenouf@bccancer.bc.ca
Study Locations
-
-
British Columbia
-
Vancouver, British Columbia, Canada, V5Z 4E6
- Recruiting
- British Columbia Cancer
-
Principal Investigator:
- Daniel Renouf, MD, MPH
-
Contact:
- Daniel Renouf, MD, MPH
- Phone Number: 800-663-3333
- Email: drenouf@bccancer.bc.ca
-
-
Ontario
-
Toronto, Ontario, Canada, M5G 2M9
- Recruiting
- Princess Margaret Cancer Centre
-
Contact:
- Erica Tsang, MD, MPH
- Phone Number: 416-946-2000
- Email: erica.tsang@uhn.ca
-
Contact:
- Robert Grant, MD
- Phone Number: 416-946-2000
- Email: robert.grant@uhn.ca
-
-
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
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Histological/cytological diagnosis of pancreatic ductal adenocarcinoma (PDAC).
- Planned to undergo first-line systemic therapy.
- Age greater than or equal to 18 years.
- Eastern Cooperative Oncology Group (ECOG) performance status 0-1.
Adequate bone marrow and organ function as defined by the following laboratory values:
- Absolute neutrophil count (ANC) greater than or equal to 1.5 x 10^9/L.
- Platelet count greater than or equal to 75 x 10^9/L.
- Hemoglobin greater than or equal to 9.0 g/dL.
- Estimated glomerular filtration rate (GFR) by Cockroft-Gault equation OR 24 hour urine collection greater than or equal to 40 ml/min.
- Creatinine clearance greater than or equal to 40 mL/min using Cockcroft-Gault formula.
- Potassium within normal limits, or corrected with supplements.
- International normalized ratio (INR) less than or equal to 1.5.
- Total serum bilirubin less than or equal to 2 x upper limit of normal (ULN) (any elevated bilirubin should be asymptomatic at enrollment) except for participants with documented Gilbert's syndrome who may only be included if the total bilirubin less than or equal to 3 x ULN or direct bilirubin less than or equal to 1.5 x ULN).
- Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) less than or equal to 2.5 x ULN (or less than or equal to 5 x ULN if liver metastases are present).
- Able to understand and voluntarily sign the informed consent form.
- Able to comply with the study visit schedule and other protocol requirements.
- Able to swallow oral medications.
- Measurable or evaluable disease by Response Evaluation Criteria in Solid Tumours (RECIST) 1.1 at baseline.
- Life expectancy of more than 90 days as judged by the study doctor.
Exclusion Criteria:
- Absence of distant or lymph node metastases. Participants with borderline resectable or locally advanced PDAC are not eligible.
- Received prior systemic therapy (chemotherapy or any other anti-cancer agent) for treatment of metastatic PDAC. Participants who received adjuvant chemotherapy after surgical resection of early stage disease are eligible.
- Currently receiving anti-cancer therapy (chemotherapy or any other anti-cancer agent).
- Presence of brain metastases.
- Known diagnosis of type I diabetes where strict glucose control and close Endocrinology follow-up is already indicated.
- Known diagnosis of type II diabetes and already followed by Endocrinologist.
- Participants with a positive pregnancy test.
- Participants who are not safe to include in the study as judged by the study doctor for any medical or non-medical reason.
- Unable to comply with study assessments and follow-up.
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
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Glucose Measurements via Blood Draws
Participants will have glucose levels measured using blood drawn prior to each cycle of systemic therapy.
|
Blood glucose levels will be measured using blood drawn prior to each cycle of systemic therapy.
Anti-cancer treatment can follow standard care protocols or be given within another clinical trial.
Anti-hyperglycemic treatment will be administered when indicated by and following standard care protocols.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Proportion of participants who experience at least one episode of hyperglycemia
Time Frame: From baseline (up to 2 weeks prior to first dose) until progression of disease, assessed up to 24 months.
|
The proportion of participants who experience at least one episode of hyperglycemia.
Hyperglycemia is defined by standard non-fasting criteria: random plasma glucose greater than or equal to 11.1 mmol/L or hemoglobin A1c greater than or equal to 6.5%.
|
From baseline (up to 2 weeks prior to first dose) until progression of disease, assessed up to 24 months.
|
|
Percentage of glucose measurements above the target range
Time Frame: From baseline (up to 2 weeks prior to first dose) until progression of disease, assessed up to 24 months.
|
The percentage of random plasma glucose measurements that are greater than or equal to 11.1 mmol/L or hemoglobin A1c measurements that are greater than or equal to 6.5%.
|
From baseline (up to 2 weeks prior to first dose) until progression of disease, assessed up to 24 months.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall response rate (ORR) of the cohort, as defined by RECIST 1.1
Time Frame: From the date of the screening scan (within 28 days of first dose) until the date of confirmed progression, assessed up to 24 months.
|
The proportion of participants who have a complete response (CR) or partial response (PR) to first-line systemic therapy, as defined by RECIST 1.1.
|
From the date of the screening scan (within 28 days of first dose) until the date of confirmed progression, assessed up to 24 months.
|
|
Progression-free survival (PFS) of the cohort from the initiation of first-line systemic therapy
Time Frame: From the date of first dose of first-line systemic therapy until the date of confirmed progression, assessed up to 24 months.
|
The length of time from the first dose of first-line systemic therapy until the date of progressive disease (PD), as defined by RECIST 1.1.
|
From the date of first dose of first-line systemic therapy until the date of confirmed progression, assessed up to 24 months.
|
|
Overall survival (OS) of the cohort from the initiation of first-line systemic therapy
Time Frame: From the date of first dose of first-line systemic therapy until the date of death or end of study, assessed up to 24 months.
|
The length of time from the initiation of first-line systemic therapy that participants survive.
|
From the date of first dose of first-line systemic therapy until the date of death or end of study, assessed up to 24 months.
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall response rate (ORR) of the cohort, as defined by RECIST 1.1 and stratified by prognostic and metabolic gene expression subtypes of PDAC
Time Frame: From the date of the screening scan (within 28 days of first dose) until the date of confirmed progression, assessed up to 24 months.
|
The proportion of participants stratified by prognostic and metabolic gene expression subtypes of PDAC who have a complete response (CR) or partial response (PR) to first-line systemic therapy, as defined by RECIST 1.1.
|
From the date of the screening scan (within 28 days of first dose) until the date of confirmed progression, assessed up to 24 months.
|
|
Progression-free survival (PFS) of the cohort stratified by prognostic and metabolic gene expression subtypes of PDAC from the initiation of first-line systemic therapy
Time Frame: From the date of first dose of first-line systemic therapy until the date of confirmed progression, assessed up to 24 months.
|
The length of time from the first dose of first-line systemic therapy until the date of progressive disease (PD), as defined by RECIST 1.1, for participants stratified by prognostic and metabolic gene expression subtypes of PDAC.
|
From the date of first dose of first-line systemic therapy until the date of confirmed progression, assessed up to 24 months.
|
|
Overall survival (OS) of the cohort stratified by prognostic and metabolic gene expression subtypes of PDAC from the initiation of first-line systemic therapy
Time Frame: From the date of first dose of first-line systemic therapy until the date of death or end of study, assessed up to 24 months.
|
The length of time from the initiation of first-line systemic therapy that participants survive stratified by prognostic and metabolic gene expression subtypes of PDAC.
|
From the date of first dose of first-line systemic therapy until the date of death or end of study, assessed up to 24 months.
|
|
Overall response rate (ORR) of the cohort, as defined by RECIST 1.1 and stratified by clinical features (i.e. type 2 diabetes), pathological profiles, and genomic profiles
Time Frame: From the date of the screening scan (within 28 days of first dose) until the date of confirmed progression, assessed up to 24 months.
|
The proportion of participants stratified by clinical features (i.e.
type 2 diabetes), pathological profiles, and genomic profiles who have a complete response (CR) or partial response (PR) to first-line systemic therapy, as defined by RECIST 1.1.
|
From the date of the screening scan (within 28 days of first dose) until the date of confirmed progression, assessed up to 24 months.
|
|
Progression-free survival (PFS) of the cohort, stratified by clinical features (i.e. type 2 diabetes), pathological profiles, and genomic profiles from the initiation of first-line systemic therapy
Time Frame: From the date of first dose of first-line systemic therapy until the date of confirmed progression, assessed up to 24 months.
|
The length of time from the first dose of first-line systemic therapy until the date of progressive disease (PD), as defined by RECIST 1.1, for participants stratified by clinical features (i.e.
type 2 diabetes), pathological profiles, and genomic profiles.
|
From the date of first dose of first-line systemic therapy until the date of confirmed progression, assessed up to 24 months.
|
|
Overall survival (OS) of the cohort stratified by clinical features (i.e. type 2 diabetes), pathological profiles, and genomic profiles from the initiation of first-line systemic therapy
Time Frame: From the date of first dose of first-line systemic therapy until the date of death or end of study, assessed up to 24 months.
|
The length of time from the initiation of first-line systemic therapy that participants survive stratified by clinical features (i.e.
type 2 diabetes), pathological profiles, and genomic profiles.
|
From the date of first dose of first-line systemic therapy until the date of death or end of study, assessed up to 24 months.
|
|
Amount of insulin, measured in molar, for participants from screening until the end of study visit
Time Frame: From the date of screening blood sample collection until the date of the end of study blood sample collection (an average of 6 months).
|
The quantity of insulin, measured in molar from immunoassays, from blood samples collected throughout the study.
|
From the date of screening blood sample collection until the date of the end of study blood sample collection (an average of 6 months).
|
|
Amount of proinsulin, measured in molar, for participants from screening until the end of study visit
Time Frame: From the date of the screening blood sample collection until the date of the end of study blood sample collection (an average of 6 months).
|
The quantity of proinsulin, measured in molar from immunoassays, from blood samples collected throughout the study.
|
From the date of the screening blood sample collection until the date of the end of study blood sample collection (an average of 6 months).
|
|
Amount of C-peptide, measured in molar, for participants from screening until the end of study visit
Time Frame: From the date of the screening blood sample collection until the date of the end of study blood sample collection (an average of 6 months).
|
The quantity of C-peptide, measured in molar from immunoassays, from blood samples collected throughout the study.
|
From the date of the screening blood sample collection until the date of the end of study blood sample collection (an average of 6 months).
|
|
Amount of circulating biomarkers, measured in molar, for participants from screening until the end of study visit
Time Frame: From the date of the screening blood sample collection until the date of the end of study blood sample collection (an average of 6 months).
|
The quantity of circulating biomarkers, measured in molar from immunoassays, from blood samples collected throughout the study.
|
From the date of the screening blood sample collection until the date of the end of study blood sample collection (an average of 6 months).
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Daniel Renouf, MD, MPH, BC Cancer
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
- 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.
- Harris D, Barts A, Connors J, Dahl M, Elliott T, Kong J, Keane T, Thompson D, Stafford S, Ur E, Sirrs S. Glucocorticoid-induced hyperglycemia is prevalent and unpredictable for patients undergoing cancer therapy: an observational cohort study. Curr Oncol. 2013 Dec;20(6):e532-8. doi: 10.3747/co.20.1499.
- 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.
- Pannala R, Leirness JB, Bamlet WR, Basu A, Petersen GM, Chari ST. Prevalence and clinical profile of pancreatic cancer-associated diabetes mellitus. Gastroenterology. 2008 Apr;134(4):981-7. doi: 10.1053/j.gastro.2008.01.039. Epub 2008 Jan 18.
- Becker S, Dossus L, Kaaks R. Obesity related hyperinsulinaemia and hyperglycaemia and cancer development. Arch Physiol Biochem. 2009 May;115(2):86-96. doi: 10.1080/13813450902878054.
- Dawson DW, Hertzer K, Moro A, Donald G, Chang HH, Go VL, Pandol SJ, Lugea A, Gukovskaya AS, Li G, Hines OJ, Rozengurt E, Eibl G. High-fat, high-calorie diet promotes early pancreatic neoplasia in the conditional KrasG12D mouse model. Cancer Prev Res (Phila). 2013 Oct;6(10):1064-73. doi: 10.1158/1940-6207.CAPR-13-0065. Epub 2013 Aug 13.
- Hart AR, Kennedy H, Harvey I. Pancreatic cancer: a review of the evidence on causation. Clin Gastroenterol Hepatol. 2008 Mar;6(3):275-82. doi: 10.1016/j.cgh.2007.12.041.
- Hassan MM, Bondy ML, Wolff RA, Abbruzzese JL, Vauthey JN, Pisters PW, Evans DB, Khan R, Chou TH, Lenzi R, Jiao L, Li D. Risk factors for pancreatic cancer: case-control study. Am J Gastroenterol. 2007 Dec;102(12):2696-707. doi: 10.1111/j.1572-0241.2007.01510.x. Epub 2007 Aug 31.
- Hjartaker A, Langseth H, Weiderpass E. Obesity and diabetes epidemics: cancer repercussions. Adv Exp Med Biol. 2008;630:72-93. doi: 10.1007/978-0-387-78818-0_6.
- Karasinska JM, Topham JT, Kalloger SE, Jang GH, Denroche RE, Culibrk L, Williamson LM, Wong HL, Lee MKC, O'Kane GM, Moore RA, Mungall AJ, Moore MJ, Warren C, Metcalfe A, Notta F, Knox JJ, Gallinger S, Laskin J, Marra MA, Jones SJM, Renouf DJ, Schaeffer DF. Altered Gene Expression along the Glycolysis-Cholesterol Synthesis Axis Is Associated with Outcome in Pancreatic Cancer. Clin Cancer Res. 2020 Jan 1;26(1):135-146. doi: 10.1158/1078-0432.CCR-19-1543. Epub 2019 Sep 3.
- Kawada K, Toda K, Sakai Y. Targeting metabolic reprogramming in KRAS-driven cancers. Int J Clin Oncol. 2017 Aug;22(4):651-659. doi: 10.1007/s10147-017-1156-4. Epub 2017 Jun 24.
- Kenner BJ, Chari ST, Maitra A, Srivastava S, Cleeter DF, Go VL, Rothschild LJ, Goldberg AE. Early Detection of Pancreatic Cancer-a Defined Future Using Lessons From Other Cancers: A White Paper. Pancreas. 2016 Sep;45(8):1073-9. doi: 10.1097/MPA.0000000000000701.
- Kleeff J, Costello E, Jackson R, Halloran C, Greenhalf W, Ghaneh P, Lamb RF, Lerch MM, Mayerle J, Palmer D, Cox T, Rawcliffe CL, Strobel O, Buchler MW, Neoptolemos JP. The impact of diabetes mellitus on survival following resection and adjuvant chemotherapy for pancreatic cancer. Br J Cancer. 2016 Sep 27;115(7):887-94. doi: 10.1038/bjc.2016.277. Epub 2016 Sep 1.
- Koorstra JB, Hustinx SR, Offerhaus GJ, Maitra A. Pancreatic carcinogenesis. Pancreatology. 2008;8(2):110-25. doi: 10.1159/000123838. Epub 2008 Apr 1.
- Kopp JL, von Figura G, Mayes E, Liu FF, Dubois CL, Morris JP 4th, Pan FC, Akiyama H, Wright CV, Jensen K, Hebrok M, Sander M. Identification of Sox9-dependent acinar-to-ductal reprogramming as the principal mechanism for initiation of pancreatic ductal adenocarcinoma. Cancer Cell. 2012 Dec 11;22(6):737-50. doi: 10.1016/j.ccr.2012.10.025. Epub 2012 Nov 29.
- Lauby-Secretan B, Scoccianti C, Loomis D, Grosse Y, Bianchini F, Straif K; International Agency for Research on Cancer Handbook Working Group. Body Fatness and Cancer--Viewpoint of the IARC Working Group. N Engl J Med. 2016 Aug 25;375(8):794-8. doi: 10.1056/NEJMsr1606602. No abstract available.
- Li D, Xie K, Wolff R, Abbruzzese JL. Pancreatic cancer. Lancet. 2004 Mar 27;363(9414):1049-57. doi: 10.1016/S0140-6736(04)15841-8.
- McCarty MF. Insulin secretion as a determinant of pancreatic cancer risk. Med Hypotheses. 2001 Aug;57(2):146-50. doi: 10.1054/mehy.2001.1316.
- Pleasance E, Titmuss E, Williamson L, Kwan H, Culibrk L, Zhao EY, Dixon K, Fan K, Bowlby R, Jones MR, Shen Y, Grewal JK, Ashkani J, Wee K, Grisdale CJ, Thibodeau ML, Bozoky Z, Pearson H, Majounie E, Vira T, Shenwai R, Mungall KL, Chuah E, Davies A, Warren M, Reisle C, Bonakdar M, Taylor GA, Csizmok V, Chan SK, Zong Z, Bilobram S, Muhammadzadeh A, D'Souza D, Corbett RD, MacMillan D, Carreira M, Choo C, Bleile D, Sadeghi S, Zhang W, Wong T, Cheng D, Brown SD, Holt RA, Moore RA, Mungall AJ, Zhao Y, Nelson J, Fok A, Ma Y, Lee MKC, Lavoie JM, Mendis S, Karasinska JM, Deol B, Fisic A, Schaeffer DF, Yip S, Schrader K, Regier DA, Weymann D, Chia S, Gelmon K, Tinker A, Sun S, Lim H, Renouf DJ, Laskin J, Jones SJM, Marra MA. Pan-cancer analysis of advanced patient tumors reveals interactions between therapy and genomic landscapes. Nat Cancer. 2020 Apr;1(4):452-468. doi: 10.1038/s43018-020-0050-6. Epub 2020 Apr 13.
- Polonsky KS. Dynamics of insulin secretion in obesity and diabetes. Int J Obes Relat Metab Disord. 2000 Jun;24 Suppl 2:S29-31. doi: 10.1038/sj.ijo.0801273.
- Sharma A, Chari ST. Pancreatic Cancer and Diabetes Mellitus. Curr Treat Options Gastroenterol. 2018 Dec;16(4):466-478. doi: 10.1007/s11938-018-0197-8.
- Shlomai G, Neel B, LeRoith D, Gallagher EJ. Type 2 Diabetes Mellitus and Cancer: The Role of Pharmacotherapy. J Clin Oncol. 2016 Dec 10;34(35):4261-4269. doi: 10.1200/JCO.2016.67.4044. Epub 2016 Nov 7.
- Templeman NM, Flibotte S, Chik JHL, Sinha S, Lim GE, Foster LJ, Nislow C, Johnson JD. Reduced Circulating Insulin Enhances Insulin Sensitivity in Old Mice and Extends Lifespan. Cell Rep. 2017 Jul 11;20(2):451-463. doi: 10.1016/j.celrep.2017.06.048.
- Tsujimoto T, Kajio H, Sugiyama T. Association between hyperinsulinemia and increased risk of cancer death in nonobese and obese people: A population-based observational study. Int J Cancer. 2017 Jul 1;141(1):102-111. doi: 10.1002/ijc.30729. Epub 2017 Apr 22.
- Wang F, Qi XM, Wertz R, Mortensen M, Hagen C, Evans J, Sheinin Y, James M, Liu P, Tsai S, Thomas J, Mackinnon A, Dwinell M, Myers CR, Bartrons Bach R, Fu L, Chen G. p38gamma MAPK Is Essential for Aerobic Glycolysis and Pancreatic Tumorigenesis. Cancer Res. 2020 Aug 15;80(16):3251-3264. doi: 10.1158/0008-5472.CAN-19-3281. Epub 2020 Jun 24.
- Wang M, Li J, Lim GE, Johnson JD. Is dynamic autocrine insulin signaling possible? A mathematical model predicts picomolar concentrations of extracellular monomeric insulin within human pancreatic islets. PLoS One. 2013 Jun 14;8(6):e64860. doi: 10.1371/journal.pone.0064860. Print 2013.
- Yan L, Raj P, Yao W, Ying H. Glucose Metabolism in Pancreatic Cancer. Cancers (Basel). 2019 Sep 29;11(10):1460. doi: 10.3390/cancers11101460.
- Yuan C, Rubinson DA, Qian ZR, Wu C, Kraft P, Bao Y, Ogino S, Ng K, Clancy TE, Swanson RS, Gorman MJ, Brais LK, Li T, Stampfer MJ, Hu FB, Giovannucci EL, Kulke MH, Fuchs CS, Wolpin BM. Survival among patients with pancreatic cancer and long-standing or recent-onset diabetes mellitus. J Clin Oncol. 2015 Jan 1;33(1):29-35. doi: 10.1200/JCO.2014.57.5688. Epub 2014 Nov 17.
- Zhang AMY, Magrill J, de Winter TJJ, Hu X, Skovso S, Schaeffer DF, Kopp JL, Johnson JD. Endogenous Hyperinsulinemia Contributes to Pancreatic Cancer Development. Cell Metab. 2019 Sep 3;30(3):403-404. doi: 10.1016/j.cmet.2019.07.003. Epub 2019 Aug 1. No abstract available.
- Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer Statistics, 2021. CA Cancer J Clin. 2021 Jan;71(1):7-33. doi: 10.3322/caac.21654. Epub 2021 Jan 12.
- Stott M, Stefanova I, Oldfield L, Evans A, Birch-Ford J, Rao R, Greenhalf W, Halloran C, Costello E. Prevalence of New-Onset Diabetes in Patients Undergoing Pancreatic Surgery and the Association of Glucose Dysregulation With Complications in Pancreatic Cancer. Ann Surg Open. 2025 Jun 11;6(2):e584. doi: 10.1097/AS9.0000000000000584. eCollection 2025 Jun.
- Choe HJ, Han KD, Park JH, Lee J, Kwak MK, Choi YM, Moon SJ, Hong EG. Underweight and Mortality in Type 2 Diabetes: A Nationwide Retrospective Cohort Study. J Cachexia Sarcopenia Muscle. 2025 Dec;16(6):e70145. doi: 10.1002/jcsm.70145.
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)
April 16, 2024
Primary Completion (Estimated)
October 1, 2028
Study Completion (Estimated)
October 1, 2028
Study Registration Dates
First Submitted
November 10, 2021
First Submitted That Met QC Criteria
November 22, 2021
First Posted (Actual)
November 24, 2021
Study Record Updates
Last Update Posted (Actual)
September 14, 2026
Last Update Submitted That Met QC Criteria
September 10, 2026
Last Verified
September 1, 2026
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Endocrine System Diseases
- Neoplasms by Site
- Neoplasms
- Metabolic Diseases
- Digestive System Neoplasms
- Digestive System Diseases
- Glucose Metabolism Disorders
- Endocrine Gland Neoplasms
- Pancreatic Diseases
- Nutritional and Metabolic Diseases
- Pancreatic Neoplasms
- Hyperglycemia
- Health Services Administration
- Health Care Quality, Access, and Evaluation
- Quality of Health Care
- Quality Indicators, Health Care
- Standard of Care
Other Study ID Numbers
- H21-03061
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
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