ClinicalTrials.gg
Not yet recruitingNCT07833228Chrocare-DMUpdated Sep 22, 2026

A Multicenter Randomized Double-Blind Trial of Chrocare CDSS for Integrated Management of Type 2 Diabetes

An interventional study of AI large language model-based clinical decision support system and Standard diabetes integrated management formulated by endocrinologists in Type 2 Diabetes (T2DM), Diabetic Nephropathies and Diabetic Retinopathy (DR), sponsored by Shanghai Jiao Tong University School of Medicine. Not yet recruiting at 1 site in China. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-09-22.

Sponsored by Shanghai Jiao Tong University School of Medicine · Not applicable, Interventional, and Treatment

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Phase
Not applicable
Study type
Interventional
Enrollment
1,200
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-13

Among 28 studies in Diabetes Mellitus, Type 2 by Shanghai Jiao Tong University School of Medicine — 3 open to participants now, 4 under way, none of them phase 3. Diabetes Mellitus, Type 2 · Shanghai Jiao Tong University School of Medicine.

Planned enrollment
3rd of 27
1,200 · median 160
Started
2026
with 2 others
No phase
13 of 28
2 open now
Registered
28th of 28
by date

Among the 28 studies in Diabetes Mellitus, Type 2 by Shanghai Jiao Tong University School of Medicine, this one is the 3rd largest by planned enrollment of the 27 interventional ones that give a count, is one of 3 that started in 2026, is one of 13 with no phase, and was the 28th registered.

Diabetes Mellitus, Type 2

10,378 studies on the registry are indexed under Diabetes Mellitus, Type 2; 1,410 are open to participants now.

Browse Diabetes Mellitus, Type 2 studies →

Open to participants now

3 of the 28 studies in Diabetes Mellitus, Type 2 by Shanghai Jiao Tong University School of Medicine are open now, in 1 country. Recruiting first, the newest first:

By country, each count listing its studies:

All 3 open studies →

Where they have run

Who these studies take

Of the 882 Diabetes Mellitus, Type 2 studies recruiting now, 374 (42%) set no upper age limit and 383 (43%) stop at 75 or younger; 52 take children under 18; 203 take healthy volunteers.

This study: 18 Years and older · all sexes · no healthy volunteers.

The full table on the hub →

This tab as a report to print or save as PDF → With an account.

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Watch this landscapeDownload CSVNarrow it in search →With an account: a weekly mail of what changed among 28 studies in Diabetes Mellitus, Type 2 by Shanghai Jiao Tong University School of Medicine, or all of them as a file.
02

Study summary

This is a multicenter, randomized, double-blind, parallel-group clinical study for adults with type 2 diabetes and early diabetic kidney or retinal complications. A total of 1,200 eligible participants will be randomly divided into two groups at a 1:1 ratio.

Participants in the intervention group will receive clinical management suggestions generated by the Chrocare large language model clinical decision support system, while those in the control group will receive standard diabetes care formulated by experienced endocrinologists.

All participants will complete 3 study visits over 6 months to test blood glucose, glycated hemoglobin, blood lipids, kidney and eye indicators, and record hypoglycemia or other adverse events.

The main goal of this research is to compare whether the AI-assisted management can help more patients reach target blood glucose levels, as well as evaluate the safety of this AI system for long-term diabetes integrated treatment.

Read the detailed description

This trial is a prospective, multicenter, randomized, double-blind, parallel-controlled clinical trial conducted in about 40 MMC (Metabolic Management Center) hospitals across China, enrolling 1200 adult patients aged ≥18 years with type 2 diabetes mellitus, baseline HbA1c 7.0%-9.0%, combined with mild-to-moderate diabetic nephropathy (UACR 3.39-33.9 mg/mmol) or non-proliferative diabetic retinopathy. Subjects will be assigned 1:1 via central stratified randomization to the Chrocare AI clinical decision support system intervention group or routine physician care control group. The double-blind design separates physicians into two independent roles: one clinician interacts with patients and performs follow-up, another clinician generates treatment plans without direct patient contact, masking group allocation throughout the trial period. The Chrocare large language model automatically extracts multi-dimensional clinical data from hospital EHR, LIS and imaging systems, and generates individualized hypoglycemic, hypotensive and lipid-lowering regimens complying with domestic and international diabetes guidelines, alongside risk assessment of diabetic microvascular complications. The control group's treatment plans are developed by a panel of attending endocrinologists with more than 5 years of clinical experience through double independent review. All participants will undergo fixed visits at baseline, month 3 and month 6. Collected indicators include glycated hemoglobin, fasting and postprandial blood glucose, blood pressure, BMI, visceral fat, blood lipid profile, liver and renal function, urine albumin-creatinine ratio, and retinal grading. All hypoglycemia, cardiovascular events, hospitalizations and other adverse events will be fully documented for safety evaluation. The primary efficacy endpoint is the proportion of participants achieving HbA1c less than 7.0% at month 6. Secondary endpoints include changes in metabolic indicators, improvement of microvascular complications, guideline adherence rate of treatment plans, and incidence of inappropriate medication. Safety endpoints cover all adverse events and serious adverse events during the 6-month follow-up. Statistical analyses will be performed on the full analysis set, per-protocol set and safety set using SAS, SPSS and R software, with mixed-effect logistic regression and generalized estimating equations applied for between-group comparisons. This study is initiated and sponsored by the Principal Investigator from Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, and has obtained ethical approval from the institutional ethics committee prior to participant enrollment.

03

Conditions studied

  • Type 2 Diabetes (T2DM)
  • Diabetic Nephropathies
  • Diabetic Retinopathy (DR)
04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Aged ≥ 18 years old;
  • Clinically diagnosed with Type 2 Diabetes Mellitus;
  • Baseline (HbA1c) ranges from 7.0% to 9.0%;
  • Complicated with mild-to-moderate diabetic nephropathy (UACR 3.39-33.9 mg/mmol) or mild non-proliferative diabetic retinopathy;
  • Voluntarily sign written form;
  • Able to complete all scheduled 6-month follow-up visits.

Exclusion criteria

Exclusion Criteria:

  • Type 1 diabetes, monogenic diabetes or secondary diabetes;
  • Severe cardiac, hepatic or renal dysfunction; proliferative diabetic retinopathy;
  • History of diabetic acute complications within 3 months before screening; active infectious diseases;
  • Pregnant, breastfeeding or planning pregnancy during the trial period;
  • Participated in other interventional clinical trials within the past 3 months;
  • Investigators judge the subject unsuitable for enrollment for any other reason.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

HbA1c

A blood test of average blood sugar over the past two to three months, given as a percentage or in mmol/mol. 6.5% (48 mmol/mol) or more is the usual threshold for diabetes, normally confirmed by a second test.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Double (Participant, Care provider)
Enrollment
1,200 participants (estimated)

Study arms

  • Experimental
    Chrocare-Intervention Group

    Participants receive integrated type 2 diabetes management recommendations generated by the Chrocare large language model clinical decision support system. The model automatically extracts multi-source clinical data, generates individualized hypoglycemic, hypotensive and lipid-lowering regimens consistent with diabetes guidelines, and assesses microvascular complication risks. All participants complete standardized follow-up visits at baseline, Month 3 and Month 6 with unified laboratory and imaging tests.

    Other: AI large language model-based clinical decision support system

  • Active comparator
    Routine-Control Group

    Participants receive standard integrated type 2 diabetes care formulated by experienced attending endocrinologists through double independent review. Physicians develop individualized treatment plans based on identical clinical data sources used in the intervention group. All participants complete the same 3 standardized follow-up visits and unified laboratory/imaging examinations within 6 months.

    Other: Standard diabetes integrated management formulated by endocrinologists

Interventions

  • OtherAI large language model-based clinical decision support system

    This artificial intelligence large language model system automatically extracts electronic medical, laboratory and imaging data of type 2 diabetes patients, generates individualized hypoglycemic, hypotensive and lipid-lowering treatment plans complying with domestic and international diabetes guidelines, and provides risk assessment of diabetic microvascular complications for integrated chronic disease management during 6-month standardized follow-up.

  • OtherStandard diabetes integrated management formulated by endocrinologists

    Individualized 2-type diabetes comprehensive management schemes formulated by attending endocrinologists through double independent review, with identical 6-month unified follow-up and test indicators as the AI intervention group.

06

What researchers measure

Primary outcomes

  1. Proportion of participants achieving HbA1c less than 7.0% at Month 6

    The percentage of subjects whose HbA1c level is below 7.0% after 6 months of intervention, compared between the Chrocare AI clinical decision support system group and the routine physician care control group. This indicator reflects the overall blood glucose control effect of integrated diabetes management.

    Time frame: 6 months after participant enrollment

Secondary outcomes

  1. Change in HbA1c from baseline to Month 3 and Month 6

    Absolute change of HbA1c value at Month 3 and Month 6 compared with baseline level, to evaluate the short-term and medium-term glucose-lowering effect of two management strategies.

    Time frame: 3 months and 6 months after participant enrollment

  2. Change in urine albumin-creatinine ratio (UACR) from baseline to Month 6

    Variation of UACR after 6-month intervention, reflecting the improvement status of early diabetic nephropathy in participants.

    Time frame: 6 months after participant enrollment

  3. Change in diabetic retinopathy from baseline to Month 6

    Variation of diabetic retinopathy after 6-month intervention, reflecting the improvement status of early diabetic retinopathy in participants.

    Time frame: 6 months after participant enrollment

  4. Proportion of treatment plans complying with domestic and international diabetes guidelines

    The percentage of individualized hypoglycemic, hypotensive and lipid-lowering regimens consistent with clinical practice guidelines for type 2 diabetes, compared between two groups.

    Time frame: Throughout the 6-month intervention period

  5. Incidence of hypoglycemia and all adverse events during follow-up

    Count and compare the occurrence rate of hypoglycemia, cardiovascular events and other adverse events in two groups within 6 months for safety evaluation.

    Time frame: From baseline visit to Month 6 follow-up visit

  6. Accuracy of preliminary diagnosis of diabetic microvascular complications (diabetic retinopathy, diabetic nephropathy) at baseline assessment

    Compare the preliminary diagnostic accuracy rate of diabetic complications including retinopathy and nephropathy between the AI intervention group and routine physician control group when conducting baseline evaluation for enrolled participants.

    Time frame: Baseline visit (at participant enrollment)

07

Study locations

1 site
08

References and documents

Publications

  • Ning G. Medical Education in Diabetes Management on the New Horizon: Insights From Metabolic Management Center. J Diabetes. 2025 Mar;17(3):e70075. doi: 10.1111/1753-0407.70075. No abstract available. PubMed 40107961 ↗
  • Zhang Y, Shi J, Peng Y, Zhao Z, Zheng Q, Wang Z, Liu K, Jiao S, Qiu K, Zhou Z, Yan L, Zhao D, Jiang H, Dai Y, Su B, Gu P, Su H, Wan Q, Peng Y, Liu J, Hu L, Ke T, Chen L, Xu F, Dong Q, Terzopoulos D, Ning G, Xu X, Ding X, Wang W. Artificial intelligence-enabled screening for diabetic retinopathy: a real-world, multicenter and prospective study. BMJ Open Diabetes Res Care. 2020 Oct;8(1):e001596. doi: 10.1136/bmjdrc-2020-001596. PubMed 33087340 ↗
  • Zhang Y, Wang W, Ning G. Metabolic Management Center: An innovation project for the management of metabolic diseases and complications in China. J Diabetes. 2019 Jan;11(1):11-13. doi: 10.1111/1753-0407.12847. Epub 2018 Oct 3. No abstract available. PubMed 30284373 ↗
  • Hu C, Zhang Y, Zhang J, Huo Y, Wan Q, Li M, Qi H, Du R, Zhu Y, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Xu M, Wang T, Zhao Z, Chen Y, Gao Z, Wang G, Shen F, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zhao J, Mu Y, Wang W, Xu Y, Bi Y, Lu J, Ning G; REACTION Study Group. Age at menarche, ideal cardiovascular health metrics, and risk of diabetes in adulthood: Findings from the REACTION study. J Diabetes. 2021 Jun;13(6):458-468. doi: 10.1111/1753-0407.13128. Epub 2020 Dec 29. PubMed 33135296 ↗
  • Wang T, Lu J, Su Q, Chen Y, Bi Y, Mu Y, Chen L, Hu R, Tang X, Yu X, Li M, Xu M, Xu Y, Zhao Z, Yan L, Qin G, Wan Q, Chen G, Dai M, Zhang D, Gao Z, Wang G, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Li D, Lai S, Bloomgarden ZT, Shi L, Ning G, Zhao J, Wang W; 4C Study Group. Ideal Cardiovascular Health Metrics and Major Cardiovascular Events in Patients With Prediabetes and Diabetes. JAMA Cardiol. 2019 Sep 1;4(9):874-883. doi: 10.1001/jamacardio.2019.2499. PubMed 31365039 ↗
  • Look AHEAD Research Group; Wing RR, Bolin P, Brancati FL, Bray GA, Clark JM, Coday M, Crow RS, Curtis JM, Egan CM, Espeland MA, Evans M, Foreyt JP, Ghazarian S, Gregg EW, Harrison B, Hazuda HP, Hill JO, Horton ES, Hubbard VS, Jakicic JM, Jeffery RW, Johnson KC, Kahn SE, Kitabchi AE, Knowler WC, Lewis CE, Maschak-Carey BJ, Montez MG, Murillo A, Nathan DM, Patricio J, Peters A, Pi-Sunyer X, Pownall H, Reboussin D, Regensteiner JG, Rickman AD, Ryan DH, Safford M, Wadden TA, Wagenknecht LE, West DS, Williamson DF, Yanovski SZ. Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes. N Engl J Med. 2013 Jul 11;369(2):145-54. doi: 10.1056/NEJMoa1212914. Epub 2013 Jun 24. PubMed 23796131 ↗
  • Taheri S, Zaghloul H, Chagoury O, Elhadad S, Ahmed SH, El Khatib N, Amona RA, El Nahas K, Suleiman N, Alnaama A, Al-Hamaq A, Charlson M, Wells MT, Al-Abdulla S, Abou-Samra AB. Effect of intensive lifestyle intervention on bodyweight and glycaemia in early type 2 diabetes (DIADEM-I): an open-label, parallel-group, randomised controlled trial. Lancet Diabetes Endocrinol. 2020 Jun;8(6):477-489. doi: 10.1016/S2213-8587(20)30117-0. PubMed 32445735 ↗
  • Lean ME, Leslie WS, Barnes AC, Brosnahan N, Thom G, McCombie L, Peters C, Zhyzhneuskaya S, Al-Mrabeh A, Hollingsworth KG, Rodrigues AM, Rehackova L, Adamson AJ, Sniehotta FF, Mathers JC, Ross HM, McIlvenna Y, Stefanetti R, Trenell M, Welsh P, Kean S, Ford I, McConnachie A, Sattar N, Taylor R. Primary care-led weight management for remission of type 2 diabetes (DiRECT): an open-label, cluster-randomised trial. Lancet. 2018 Feb 10;391(10120):541-551. doi: 10.1016/S0140-6736(17)33102-1. Epub 2017 Dec 5. PubMed 29221645 ↗
  • Leslie WS, Ford I, Sattar N, Hollingsworth KG, Adamson A, Sniehotta FF, McCombie L, Brosnahan N, Ross H, Mathers JC, Peters C, Thom G, Barnes A, Kean S, McIlvenna Y, Rodrigues A, Rehackova L, Zhyzhneuskaya S, Taylor R, Lean ME. The Diabetes Remission Clinical Trial (DiRECT): protocol for a cluster randomised trial. BMC Fam Pract. 2016 Feb 16;17:20. doi: 10.1186/s12875-016-0406-2. PubMed 26879684 ↗
  • Davies MJ, Aroda VR, Collins BS, Gabbay RA, Green J, Maruthur NM, Rosas SE, Del Prato S, Mathieu C, Mingrone G, Rossing P, Tankova T, Tsapas A, Buse JB. Management of hyperglycaemia in type 2 diabetes, 2022. A consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetologia. 2022 Dec;65(12):1925-1966. doi: 10.1007/s00125-022-05787-2. Epub 2022 Sep 24. PubMed 36151309 ↗
  • Martindale APL, Llewellyn CD, de Visser RO, Ng B, Ngai V, Kale AU, di Ruffano LF, Golub RM, Collins GS, Moher D, McCradden MD, Oakden-Rayner L, Rivera SC, Calvert M, Kelly CJ, Lee CS, Yau C, Chan AW, Keane PA, Beam AL, Denniston AK, Liu X. Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines. Nat Commun. 2024 Feb 22;15(1):1619. doi: 10.1038/s41467-024-45355-3. PubMed 38388497 ↗
  • Cruz Rivera S, Liu X, Chan AW, Denniston AK, Calvert MJ; SPIRIT-AI and CONSORT-AI Working Group; SPIRIT-AI and CONSORT-AI Steering Group; SPIRIT-AI and CONSORT-AI Consensus Group. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension. Nat Med. 2020 Sep;26(9):1351-1363. doi: 10.1038/s41591-020-1037-7. Epub 2020 Sep 9. PubMed 32908284 ↗
  • Show us the evidence for the value of medical AI. Nat Med. 2026 Apr;32(4):1163. doi: 10.1038/s41591-026-04389-4. No abstract available. PubMed 42014883 ↗
  • Nie J, Haft C, Xia A, Wang X. AI-Powered Diabetes Precision Health: From Data to Action. NEJM AI. 2025 Sep;2(9):10.1056/AIp2500475. doi: 10.1056/AIp2500475. Epub 2025 Aug 28. PubMed 40918692 ↗
  • Ahmad E, Lim S, Lamptey R, Webb DR, Davies MJ. Type 2 diabetes. Lancet. 2022 Nov 19;400(10365):1803-1820. doi: 10.1016/S0140-6736(22)01655-5. Epub 2022 Nov 1. PubMed 36332637 ↗
  • GBD 2021 Diabetes Collaborators. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2023 Jul 15;402(10397):203-234. doi: 10.1016/S0140-6736(23)01301-6. Epub 2023 Jun 22. PubMed 37356446 ↗
  • Wang L, Gao P, Zhang M, Huang Z, Zhang D, Deng Q, Li Y, Zhao Z, Qin X, Jin D, Zhou M, Tang X, Hu Y, Wang L. Prevalence and Ethnic Pattern of Diabetes and Prediabetes in China in 2013. JAMA. 2017 Jun 27;317(24):2515-2523. doi: 10.1001/jama.2017.7596. PubMed 28655017 ↗
  • Xu Y, Wang L, He J, Bi Y, Li M, Wang T, Wang L, Jiang Y, Dai M, Lu J, Xu M, Li Y, Hu N, Li J, Mi S, Chen CS, Li G, Mu Y, Zhao J, Kong L, Chen J, Lai S, Wang W, Zhao W, Ning G; 2010 China Noncommunicable Disease Surveillance Group. Prevalence and control of diabetes in Chinese adults. JAMA. 2013 Sep 4;310(9):948-59. doi: 10.1001/jama.2013.168118. PubMed 24002281 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Oct 2026; primary completion for Dec 2027, 13 months later.

Of 2,066 non-industry interventional studies with no phase under Diabetes Mellitus, Type 2, half reached primary completion within 21 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 40. This study's planned 13 months is below that.

Counting every sponsor, half of 2,243 studies reached it within 21 months; a quarter within 10 and three quarters within 39.

How these figures are worked out, and which studies are left out of them.

Registered
Sep 6, 2026
First posted
Sep 22, 2026
StartEst.
Oct 8, 2026
Primary completionEst.
Dec 1, 2027
CompletionEst.
Dec 30, 2027
Last update
Sep 22, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 22, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07833228
Responsible party
Wang Weiqing (Professor, Chief Physician, Department of Endocrinology and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University School of Medicine) — Principal investigator
First posted
Sep 22, 2026
Start date
Oct 8, 2026 (estimated)
Primary completion
Dec 1, 2027 (estimated)
Completion
Dec 30, 2027 (estimated)
Last update
Sep 22, 2026

Study contacts

Weiqing Wang
Contact
wqingw@shsmu.edu.cn
021-64370045-671803
Yifei Zhang
Contact
feifei-a@163.com
Weiqing Wang
principal investigator · Ruijin Hospital: Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Sep 2026. You cannot join it, but the record below documents what was studied.

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