Progression rates from HbA1c 6.0-6.4% and other prediabetes definitions to type 2 diabetes: a meta-analysis
Open accessAbstract
Aims/hypothesis Precise estimates of progression rates from 'prediabetes' to type 2 diabetes are needed to optimise prevention strategies for high-risk individuals. There is acceptance of prediabetes defined by impaired fasting glucose (IFG) and impaired glucose tolerance (IGT), but there is some controversy surrounding HbA1c-defined prediabetes ranges, with some favouring 6.0-6.4% (42-46 mmol/mol). Comparing progression rates between groups might aid this issue, thus we aimed to accurately estimate progression rates to diabetes from different prediabetes categories.Methods Meta-analysis of prospective observational studies in which participants had prediabetes at baseline (ADA-defined IFG [5.6-6.9 mmol/l], WHO-defined IFG [6.1-6.9 mmol/l], IGT (7.8-11.0 mmol/l) or raised HbA1c [6.0-6.4%/42-46 mmol/mol]) and were followed up for incident diabetes. Incidence rates were combined using Bayesian random effects models.Results Overall, 70 studies met the inclusion criteria. In the six studies that used raised HbA1c, the pooled incidence rate (95% credible interval) of diabetes was 35.6 (15.1, 83.0) per 1,000 person-years. This rate was most similar to that for ADA-defined IFG (11 studies; 35.5 [26.6, 48.0]) and was non-significantly lower than WHO-defined IFG (34 studies; 47.4 [37.4, 59.8]), IGT (46 studies, 45.5 [37.8, 54.5]) and IFG plus IGT (15 studies, 70.4 [53.8, 89.7]). Similar results were seen when the data were analysed by the criteria used to diagnose diabetes.Conclusions/interpretation This study provides evidence that progression rates differ by prediabetes definition, which has implications for the planning and implementation of diabetes prevention programmes. HbA1c 6.0-6.4% might identify people at a lower diabetes risk than other prediabetes definitions, but further research is needed.
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?
The number of participants diagnosed with T2DM in the control groups in the included trials was higher than that estimated from observational studies.
“The number of participants diagnosed with T2DM in the control groups in the included trials was higher than that estimated from observational studies (Cheng 2006; Morris 2013).”
From Diet, physical activity or both for prevention or delay of type 2 diabetes mellitus and its associated complications in people at increased risk of developing type 2 diabetes mellitus (2017) · cites this paper as Morris 2013
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
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,019 · see citing works
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s5 · Cited by 10,320 · see citing works
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s062 · Cited by 5,491 · see citing works
Follow-up report on the diagnosis of diabetes mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2003) · Diabetes Care · doi:10.2337/diacare.26.11.3160 · Cited by 3,784 · see citing works
International Expert Committee report on the role of the A1c assay in the diagnosis of diabetes
The International Expert Committee (2009) · Diabetes Care · doi:10.2337/dc09-9033 · Cited by 3,185 · see citing works
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2004) · Diabetes Care · doi:10.2337/diacare.27.2007.s5 · Cited by 1,668 · see citing works
Gerstein, H. C., Santaguida, P., Raina, P., Morrison, K. M., Balion, C., Hunt, D., Yazdi, H., & Booker, L. (2007) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2007.05.004 · Cited by 575 · see citing works
Use of glycated haemoglobin (HbA1c) in the diagnosis of diabetes mellitus
(2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.03.012 · Cited by 455 · see citing works
The Cost of Diabetes Type II in Europe The CODE-2 Study
Massi‐Benedetti, M. (2002) · Diabetologia · doi:10.1007/s00125-002-0860-3 · Cited by 123 · see citing works
Mostafa, S. A., Davies, M. J., Srinivasan, B. T., Carey, M., Webb, D. R., & Khunti, K. K. (2010) · Postgraduate Medical Journal · doi:10.1136/pgmj.2009.091215 · Cited by 52 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Huang, Y., Cai, X., Mai, W., Li, M., & Hu, Y. (2016) · BMJ · doi:10.1136/bmj.i5953 · Cited by 1,012 · see citing works
Prevalence of prediabetes among adolescents and young adults in the United States, 2005-2016
Andes, L. J., Cheng, Y. J., Rolka, D. B., Gregg, E. W., & Imperatore, G. (2020) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2019.4498 · Cited by 380 · see citing works
Hemmingsen, B., Gimenez-Perez, G., Mauricio, D., Roqué i Figuls, M., Metzendorf, M.-I., & Richter, B. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003054.pub4 · Cited by 316 · see citing works
Sepah, S. C., Jiang, L., & Peters, A. L. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4052 · Cited by 206 · see citing works
Cardiac Autonomic Neuropathy in Obesity, the Metabolic Syndrome and Prediabetes: A Narrative Review
Williams, S. M., Eleftheriadou, A., Alam, U., Cuthbertson, D. J., & Wilding, J. P. H. (2019) · Diabetes Therapy · doi:10.1007/s13300-019-00693-0 · Cited by 128 · see citing works
Davies, M. J., Gray, L. J., Troughton, J., Gray, A., Tuomilehto, J., Farooqi, A., Khunti, K., & Yates, T. (2016) · Preventive Medicine · doi:10.1016/j.ypmed.2015.12.012 · Cited by 123 · see citing works
Self-citationSpence, J. D., Viscoli, C. M., Inzucchi, S. E., Dearborn-Tomazos, J., Ford, G. A., Gorman, M., Furie, K. L., Lovejoy, A. M., Young, L. H., Kernan, W. N., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.0079 · Cited by 109 · see citing works
Palladino, R., Tabak, A. G., Khunti, K., Valabhji, J., Majeed, A., Millett, C., & Vamos, E. P. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-001061 · Cited by 98 · see citing works
Self-citationMadsen, K. S., Chi, Y., Metzendorf, M.-I., Richter, B., & Hemmingsen, B. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008558.pub2 · Cited by 70 · see citing works
Moelands, S. V., Lucassen, P. L., Akkermans, R. P., De Grauw, W. J., & Van de Laar, F. A. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005061.pub3 · Cited by 57 · see citing works
Roberts, S., Craig, D., Adler, A., McPherson, K., & Greenhalgh, T. (2018) · BMC Medicine · doi:10.1186/s12916-017-0984-4 · Cited by 48 · see citing works
Digital Health–Supported Lifestyle Change Programs to Prevent Type 2 Diabetes
Kirley, K., & Sachdev, N. (2018) · Diabetes Spectrum · doi:10.2337/ds18-0019 · Cited by 29 · see citing works
Buccheri, E., Dell'Aquila, D., & Russo, M. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108722 · Cited by 24 · see citing works
Frempong, S. N., Shinkins, B., Howdon, D., Messenger, M., Neal, R. D., & Sagoo, G. S. (2022) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1080/14737167.2021.1895755 · Cited by 5 · see citing works
- Authors
- Morris, D. H., Khunti, K., Achana, F., Srinivasan, B., Gray, L. J., Davies, M. J., & Webb, D.
- Affiliations
- University of Leicester (GB)
- Corresponding author
- Morris, D. H.
- Venue
- Diabetologia
- Published
- 2013-04-13
- Volume
- 56
- Issue
- 7
- Pages
- 1489-1493
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- OpenAlex
- W2019934596
- Cited by
- 229
- References
- 10
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 12 · 2023: 16 · 2022: 13 · 2021: 16 · 2020: 21 · 2019: 27 · 2018: 23 · 2017: 23 · 2016: 28 · 2015: 18 · 2014: 16 · 2013: 3
- FWCI
- 17.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Diabetologia (publishedVersion)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Leicester Research Archive (University of Leicester) (submittedVersion, other-oa)
- Funders
- University Hospitals of Leicester NHS Trust
- National Institute for Health and Care Research (RP-DG-1210-10183, RP-PG-0606-1272)
- Diabetes UK
- University of Leicester
- Loughborough University
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- prediabetes, type 2 diabetes, disease progression rate, HbA1c, impaired fasting glucose, impaired glucose tolerance, diabetes incidence, diabetes prevention
- MeSH terms
- Diabetes Mellitus, Type 2, Glycated Hemoglobin, Humans, Prediabetic State, Prospective Studies, Disease Progression
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