The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Normal Fasting Plasma Glucose Levels and Type 2 Diabetes in Young Men
Open accessAbstract
BACKGROUND: The normal fasting plasma glucose level was recently defined as less than 100 mg per deciliter (5.55 mmol per liter). Whether higher fasting plasma glucose levels within this range independently predict type 2 diabetes in young adults is unclear. METHODS: We obtained blood measurements, data from physical examinations, and medical and lifestyle information from men in the Israel Defense Forces who were 26 to 45 years of age. RESULTS: A total of 208 incident cases of type 2 diabetes occurred during 74,309 person-years of follow-up (from 1992 through 2004) among 13,163 subjects who had baseline fasting plasma glucose levels of less than 100 mg per deciliter. A multivariate model, adjusted for age, family history of diabetes, body-mass index, physical-activity level, smoking status, and serum triglyceride levels, revealed a progressively increased risk of type 2 diabetes in men with fasting plasma glucose levels of 87 mg per deciliter (4.83 mmol per liter) or more, as compared with those whose levels were in the bottom quintile (less than 81 mg per deciliter [4.5 mmol per liter], P for trend <0.001). In multivariate models, men with serum triglyceride levels of 150 mg per deciliter (1.69 mmol per liter) or more, combined with fasting plasma glucose levels of 91 to 99 mg per deciliter (5.05 to 5.50 mmol per liter), had a hazard ratio of 8.23 (95 percent confidence interval, 3.6 to 19.0) for diabetes, as compared with men with a combined triglyceride level of less than 150 mg per deciliter and fasting glucose levels of less than 86 mg per deciliter (4.77 mmol per liter). The joint effect of a body-mass index (the weight in kilograms divided by the square of the height in meters) of 30 or more and a fasting plasma glucose level of 91 to 99 mg per deciliter resulted in a hazard ratio of 8.29 (95 percent confidence interval, 3.8 to 17.8), as compared with a body-mass index of less than 25 and a fasting plasma glucose level of less than 86 mg per deciliter. CONCLUSIONS: Higher fasting plasma glucose levels within the normoglycemic range constitute an independent risk factor for type 2 diabetes among young men, and such levels may help, along with body-mass index and triglyceride levels, to identify apparently healthy men at increased risk for diabetes.
Overview
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
Verification
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?
In the citing paper
“Men with FPG values of 4.83-5.05mmol/L (87-91 mg/dL) have a significantly increased risk of type 2 diabetes, compared with men with FPG values ,4.5 mmol/L (81 mg/dL).”
From Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus (2011) · cites this paper as [41]
In the citing paper
“More-recent evidence indicates that FPG concentrations even lower than 5.6 mmol/L (100 mg/dL) are associated with a graded risk for type 2 diabetes (41).”
From Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus (2011) · cites this paper as [41]
In the citing paper
“Although the prevalence of diabetes is low at these glucose concentrations, the data support the concept of a continuum between FPG and the risk of diabetes.”
From Guidelines and recommendations for laboratory analysis in the diagnosis and management of diabetes mellitus (2011) · cites this paper as [41]
In the citing paper
“A categorisation of persons as either ‘normal’ or ‘prediabetic’ (IFG, IGT) neglects the fact that diabetes risk significantly increases for FPG values within the normal range.31”
From Prediabetes: a high-risk state for diabetes development (2012) · cites this paper as [31]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220
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
Acarbose for prevention of type 2 diabetes mellitus: the STOP-NIDDM randomised trial
Chiasson, J.-L., Josse, R. G., Gomis, R., Hanefeld, M., Karasik, A., & Laakso, M. (2002) · The Lancet · doi:10.1016/s0140-6736(02)08905-5 · Cited by 2,543
XENical in the Prevention of Diabetes in Obese Subjects (XENDOS) Study
Torgerson, J. S., Hauptman, J., Boldrin, M. N., & Sjöström, L. (2004) · Diabetes Care · doi:10.2337/diacare.27.1.155 · Cited by 1,915
Obesity-induced inflammatory changes in adipose tissue
Wellen, K. E., & Hotamisligil, G. S. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200320514 · Cited by 1,823
Role of Fatty Acids in the Pathogenesis of Insulin Resistance and NIDDM
Boden, G. (1997) · Diabetes · doi:10.2337/diab.46.1.3 · Cited by 1,728
Unwin, N. C., Shaw, J. E., Zimmet, P., & Alberti, K. G. M. M. (2002) · Diabetic Medicine · doi:10.1046/j.1464-5491.2002.00835.x · Cited by 1,112
Regulation of Fasted Blood Glucose by Resistin
Banerjee, R. R., Rangwala, S. M., Shapiro, J. S., Rich, A. S., Rhoades, B., Qi, Y., Wang, J., Rajala, M. W., Pocai, A., Scherer, P. E., et al. (2004) · Science · doi:10.1126/science.1092341 · Cited by 741
Flagged first, then by citations
Research works printed but not linked: 4
- 10.2337/diacare.26.12.3331 · DOI
- Rothman KJ, Greenland S. Modern epidemiology. 2nd ed. Philadelphia: Lippincott-Raven, 1998.
- Wellen KE, 2003, J Clin Invest, 112, 1785, 10.1172/JCI20514 · DOI · Paper page
- Muse ED, 2004, J Clin Invest, 114, 232, 10.1172/JCI200421270 · DOI
Cited by
Sorted by citations
Items 501–506 of 506
He, L., Zheng, W., Li, Z., Chen, L., Kong, W., & Zeng, T. (2024) · Figshare · doi:10.6084/m9.figshare.26572894
Surrogate‐Optimized Flow‐Guided Miniature Condenser for Rapid Exhaled Glucose Detection
Lu, Y. T., Mansur, Y., Peri, S., Wan, J., Ritwik, A. P. D., Johnson, E. L., & Ma, J. (2026) · Advanced Materials Technologies · doi:10.1002/admt.71257
“For non-diabetic individuals, fasting blood glucose levels typically range from 70 − 100 mg/dL [ 49 ].”
Microdroplet Phase Change Leads to Substantial Variation in Exhaled Breath Condensate Sampling
Ritwik, A. P. D., Mansur, Y., Lu, Y. T., & Ma, J. (2026) · Nano Letters · doi:10.1021/acs.nanolett.6c02981
Social Physiology: Human homeostasis is more efficient in social proximity
Masalha, M., Cohen, M. T., Aloni, M., Toledo, E., Stahl, E., Shachar, D., Eliav, O., Fuchs, S., & Atzil, S. (2026) · Science Advances · doi:10.1126/sciadv.aeg4937
“This threshold represents the upper limit of normal fasting plasma glucose according to the American Diabetes Association ( 116 , 117 ).”
Srinivasan, B. T. (2011) · Leicester Research Archive (University of Leicester)
Metadata
- Authors
- Tirosh, A., Shai, I., Tekes-Manova, D., Israeli, E., Pereg, D., Shochat, T., Kochba, I., & Rudich, A.
- Affiliations
- Sheba Medical Center (IL)
- Israel Defense Forces Medical Corps (IL)
- Meir Medical Center (IL)
- Ben-Gurion University of the Negev (IL)
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2005-10-06
- Volume
- 353
- Issue
- 14
- Pages
- 1454-1462
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2022852506
- Semantic Scholar
- 6bb2371f0d6168ca3c8b7a7910714ce03e565a83
- Cited by
- 508
- References
- 37
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 17 · 2023: 28 · 2022: 11 · 2021: 17 · 2020: 24 · 2019: 15 · 2018: 24 · 2017: 14 · 2016: 24 · 2015: 21 · 2014: 33 · 2013: 35 · 2012: 31
- FWCI
- 21.52
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- 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
- fasting blood glucose, type 2 diabetes, prediabetes, young men, diabetes risk prediction, serum triglycerides, body mass index, hypertriglyceridemia, military personnel, new-onset diabetes
- MeSH terms
- Adult, Blood Glucose, Diabetes Mellitus, Type 2, Fasting, Follow-Up Studies, Humans, Male, Middle Aged, Reference Values, Risk Factors, Triglycerides, Body Mass Index, Multivariate Analysis, Proportional Hazards Models
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