Impact of C-peptide preservation on metabolic and clinical outcomes in the Diabetes Control and Complications Trial
Open accessAbstract
The Diabetes Control and Complications Trial established that a stimulated C-peptide concentration ≥0.2 nmol/L at study entry among subjects with up to a 5-year diabetes duration is associated with favorable metabolic and clinical outcomes over the subsequent 7 years of follow-up. Herein we further examine the association of both fasting and stimulated C-peptide numerical values with outcomes. In the intensive treatment group, for a 50% higher stimulated C-peptide on entry, such as from 0.10 to 0.15 nmol/L, HbA1c decreased by 0.07% (0.8 mmol/mol; P = 0.0003), insulin dose decreased by 0.0276 units/kg/day (P < 0.0001), hypoglycemia risk decreased by 8.2% (P < 0.0001), and the risk of sustained retinopathy was reduced by 25% (P = 0.0010), all in unadjusted analyses. Other than HbA1c, these effects remained significant after adjusting for the HbA1c on entry. While C-peptide was not significantly associated with the incidence of nephropathy, it was strongly associated with the albumin excretion rate. The fasting C-peptide had weaker associations with outcomes. As C-peptide decreased to nonmeasurable concentrations, the outcomes changed in a nearly linear manner, with no threshold or breakpoint. While preservation of stimulated C-peptide at ≥0.2 nmol/L has clinically beneficial outcomes, so also does an increase in the concentration of C-peptide across the range of values.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Persistent C-peptide secretion was associated with reduced development of retinopathy, nephropathy, and hypoglycaemia in the Diabetes Control and Complications Trial.
“This finding is noteworthy because in the Diabetes Control and Complications Trial68,69 persistent C-peptide secretion was associated with reduced development of retinopathy, nephropathy, and hypoglycaemia.”
From Type 1 diabetes (2018) · cites this paper as [68]
The Results (Intensive Therapy, 1–5-Year Duration; page unavailable) associate higher entry C-peptide with less retinopathy progression and severe hypoglycemia. Nephropathy risk was lower among responders, but the difference was not statistically significant. The Discussion (page unavailable) says C-peptide was principally measured at entry and that longitudinal associations could not be examined, so the paper does not establish an association for persistent secretion over time. (LLM, conf=0.88)
Experimental — accuracy not yet measuredHigher C-peptide levels have been associated with better A1C, lower risk of retinopathy, lower risk of nephropathy, and lower risk of severe hypoglycemia.
“Higher C-peptide levels have been associated with better A1C, lower risk of retinopathy, lower risk of nephropathy, and lower risk of severe hypoglycemia (85).”
From 9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes—2025 (2025) · cites this paper as [85]
The Discussion reports that higher C-peptide was associated with lower HbA1c, less severe hypoglycemia, and less risk of retinopathy. The Results (Intensive Therapy, 1–5-Year Duration) report a lower observed risk of nephropathy, but the reduction was not statistically significant, so that part of the claim needs qualification. (LLM, conf=0.88)
Experimental — accuracy not yet measuredA UCPCR of at least 0.03 nmol/mmol corresponds to a serum C-peptide level of 30 pmol/L, a common historical limit of detection.
“In addition, we analysed two other thresholds: UCPCR≥0.03 nmol/mmol and ≥0.2nmol/mmol, which are equivalent to serum C peptide of 30 pmol/L (a common historical limit of detection(3; 11; 12)) and 200 pmol/L (a clinically defined level associated with reduced microvascular complications and hypoglycaemia(13)).”
From Most people with long-duration type 1 diabetes in a large population-based study are insulin microsecretors (2015) · cites this paper as [12]
A recent analysis of DCCT by Lachin et al demonstrated a continuous relationship between stimulated serum C-peptide and HbA1c and insulin dose, but only in patients assigned to intensive therapy.
“This is in contrast with studies of a recent analysis of DCCT by Lachin et al (12) that demonstrates a continuous relationship between stimulated serum C-peptide and HbA1c and insulin dose, but only in the patients assigned to intensive therapy.”
From Most people with long-duration type 1 diabetes in a large population-based study are insulin microsecretors (2015) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667 · see citing works
Procedures for Comparing Samples with Multiple Endpoints
O’Brien, P. C. (1984) · Biometrics · doi:10.2307/2531158 · Cited by 1,163 · see citing works
Steffes, M. W., Sibley, S., Jackson, M., & Thomas, W. (2003) · Diabetes Care · doi:10.2337/diacare.26.3.832 · Cited by 695 · see citing works
(1998) · Annals of Internal Medicine · doi:10.7326/0003-4819-128-7-199804010-00001 · Cited by 546 · see citing works
Palmer, J. P., Fleming, G. A., Greenbaum, C. J., Herold, K. C., Jansa, L. D., Kolb, H., Lachin, J. M., Polonsky, K. S., Pozzilli, P., Skyler, J. S., et al. (2004) · Diabetes · doi:10.2337/diabetes.53.1.250 · Cited by 491 · see citing works
Self-citationДемиденко, Е. Ю. (2004) · Wiley series in probability and statistics · doi:10.1002/0471728438 · Cited by 491 · see citing works
Computational methods for local regression
Cleveland, W. S., & Grosse, E. (1991) · Statistics and Computing · doi:10.1007/bf01890836 · Cited by 329 · see citing works
Two-Sample Asymptotically Distribution-Free Tests for Incomplete Multivariate Observations
Wei, L., & Lachin, J. M. (1984) · Journal of the American Statistical Association · doi:10.1080/01621459.1984.10478093 · Cited by 307 · see citing works
Self-citationDCCT Research Group, B. N. (1995) · Annals of Neurology · doi:10.1002/ana.410380607 · Cited by 283 · see citing works
Biostatistical methods : the assessment of relative risks
Lachin, J. M. (2000) · Cited by 272 · see citing works
Self-citationTHE DCCT RESEARCH GROUP (1987) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-65-1-30 · Cited by 221 · see citing works
Fukuda, M., Tanaka, A., Tahara, Y., Ikegami, H., Yamamoto, Y., Kumahara, Y., & Shima, K. (1988) · Diabetes · doi:10.2337/diab.37.1.81 · Cited by 145 · see citing works
C‐peptide in the natural history of type 1 diabetes
Palmer, J. P. (2009) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.943 · Cited by 61 · see citing works
Self-citationAssessment of stratum‐covariate interactions in Cox's proportional hazards regression model
Thall, P. F., & Lachin, J. M. (1986) · Statistics in Medicine · doi:10.1002/sim.4780050110 · Cited by 31 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
DiMeglio, L. A., Evans-Molina, C., & Oram, R. A. (2018) · The Lancet · doi:10.1016/s0140-6736(18)31320-5 · Cited by 1,561 · see citing works
A practical review of C-peptide testing in diabetes
Leighton, E., Sainsbury, C. A., & Jones, G. C. (2017) · Diabetes Therapy · doi:10.1007/s13300-017-0265-4 · Cited by 773 · see citing works
9. Pharmacologic Approaches to Glycemic Treatment: Standards of Care in Diabetes—2025
American Diabetes Association Professional Practice Committee, ElSayed, N. A., McCoy, R. G., Aleppo, G., Bajaj, M., Balapattabi, K., Beverly, E. A., Briggs Early, K., Bruemmer, D., Echouffo-Tcheugui, J. B., et al. (2025) · Diabetes Care · doi:10.2337/dc25-s009 · Cited by 728 · see citing works
Implementing a reference measurement system for C-peptide: successes and lessons learned
Little, R. R., Wielgosz, R. I., Josephs, R., Kinumi, T., Takatsu, A., Li, H., Stein, D., & Burns, C. (2017) · Clinical Chemistry · doi:10.1373/clinchem.2016.269274 · Cited by 383 · see citing works
New frontiers in the treatment of type 1 diabetes
Warshauer, J. T., Bluestone, J. A., & Anderson, M. S. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2019.11.017 · Cited by 259 · see citing works
Prevalence of detectable C-peptide according to age at diagnosis and duration of type 1 diabetes
Davis, A. K., DuBose, S. N., Haller, M. J., Miller, K. M., DiMeglio, L. A., Bethin, K. E., Goland, R. S., Greenberg, E. M., Liljenquist, D. R., Ahmann, A. J., et al. (2015) · Diabetes Care · doi:10.2337/dc14-1952 · Cited by 261 · see citing works
Oram, R. A., McDonald, T. J., Shields, B. M., Hudson, M. M., Shepherd, M. H., Hammersley, S., Pearson, E. R., Hattersley, A. T., & on behalf of the UNITED Team (2015) · Diabetes Care · doi:10.2337/dc14-0871 · Cited by 133 · see citing works
Steck, A. K., Larsson, H. E., Liu, X., Veijola, R., Toppari, J., Hagopian, W. A., Haller, M. J., Ahmed, S., Akolkar, B., Lernmark, Å., et al. (2017) · Pediatric Diabetes · doi:10.1111/pedi.12485 · Cited by 56 · see citing works
Pozzilli, P., Bosi, E., Cirkel, D., Harris, J., Leech, N., Tinahones, F. J., Vantyghem, M.-C., Vlasakakis, G., Ziegler, A.-G., & Janmohamed, S. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa149 · Cited by 45 · see citing works
Islet transplantation for hypoglycemia unawareness/severe hypoglycemia: caveat emptor
Harlan, D. M. (2016) · Diabetes Care · doi:10.2337/dci16-0008 · Cited by 25 · see citing works
- Authors
- Lachin, J. M., McGee, P., Palmer, J. P., & for the DCCT/EDIC Research Group
- Affiliations
- George Washington University (US)
- University of Washington (US)
- Corresponding author
- Lachin, John M.
- ORCID
- Lachin, John M.
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2014-01-16
- Volume
- 63
- Issue
- 2
- Pages
- 739-748
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- PMC
- PMC3900540
- OpenAlex
- W2147072756
- Cited by
- 283
- References
- 14
- Citations by year
- 2026: 15 · 2025: 26 · 2024: 30 · 2023: 28 · 2022: 30 · 2021: 35 · 2020: 30 · 2019: 21 · 2018: 16 · 2017: 15 · 2016: 15 · 2015: 16 · 2014: 6
- FWCI
- 9.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (UL1TR000041, UL1TR001449)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK017047)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- C-peptide, fasting C-peptide, type 1 diabetes, Diabetes Control and Complications Trial, intensive insulin therapy, HbA1c, insulin dose, hypoglycemia, diabetic retinopathy, diabetic nephropathy, urinary albumin excretion rate, beta-cell function, glycemic control
- MeSH terms
- Adult, C-Peptide, Diabetes Mellitus, Diabetic Retinopathy, Female, Glycated Hemoglobin, Humans, Hypoglycemic Agents, Insulin, Male, Time Factors, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review