Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 577

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Metabolic Syndrome and Incident Diabetes

Open access
Ford, Earl S., Li, Chaoyang, Sattar, Naveed·2008·Diabetes Care

Abstract

OBJECTIVE—Our objective was to perform a quantitative review of prospective studies examining the association between the metabolic syndrome and incident diabetes. RESEARCH DESIGN AND METHODS—Using the title terms “diabetes” and “metabolic syndrome” in PubMed, we searched for articles published since 1998. RESULTS—Based on the results from 16 cohorts, we performed a meta-analysis of estimates of relative risk (RR) and incident diabetes. The random-effects summary RRs were 5.17 (95% CI 3.99–6.69) for the 1999 World Health Organization definition (ten cohorts); 4.45 (2.41–8.22) for the 1999 European Group for the Study of Insulin Resistance definition (four cohorts); 3.53 (2.84–4.39) for the 2001 National Cholesterol Education Program definition (thirteen cohorts); 5.12 (3.26–8.05) for the 2005 American Heart Association/National Heart, Lung, and Blood Institute definition (five cohorts); and 4.42 (3.30–5.92) for the 2005 International Diabetes Federation definition (nine cohorts). The fixed-effects summary RR for the 2004 National Heart, Lung, and Blood Institute/American Heart Association definition was 5.16 (4.43–6.00) (six cohorts). Higher number of abnormal components was strongly related to incident diabetes. Compared with participants without an abnormality, estimates of RR for those with four or more abnormal components ranged from 10.88 to 24.4. Limited evidence suggests fasting glucose alone may be as good as metabolic syndrome for diabetes prediction. CONCLUSIONS—The metabolic syndrome, however defined, has a stronger association with incident diabetes than that previously demonstrated for coronary heart disease. Its clinical value for diabetes prediction remains uncertain.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/dc08-0423

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 8 references

Research works printed but not linked: 30

  1. Ford ES: Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care 28: 1769–1778, 2005 · DOI · Paper page
  2. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA 285:2486–2497, 2001 · DOI · Paper page
  3. Grundy SM, Brewer HB, Jr, Cleeman JI, Smith SC, Jr, Lenfant C: Definition of metabolic syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Circulation 109:433–438, 2004 · DOI · Paper page
  4. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC, Jr, Spertus JA, Costa F: Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 112:2735–2752, 2005 · DOI · Paper page
  5. Lim HS, Lip GY, Beevers DG, Blann AD: Factors predicting the development of metabolic syndrome and type II diabetes against a background of hypertension. Eur J Clin Invest 35:324–329, 2005 · DOI
  6. Wannamethee SG, Shaper AG, Lennon L, Morris RW: Metabolic syndrome vs Framingham Risk Score for prediction of coronary heart disease, stroke, and type 2 diabetes mellitus. Arch Intern Med 165:2644–2650, 2005 · DOI · Paper page
  7. Wang JJ, Hu G, Miettinen ME, Tuomilehto J: The metabolic syndrome and incident diabetes: assessment of four suggested definitions of the metabolic syndrome in a Chinese population with high post-prandial glucose. Horm Metab Res 36:708–715, 2004 · DOI
  8. Wang JJ, Li HB, Kinnunen L, Hu G, Jarvinen TM, Miettinen ME, Yuan S, Tuomilehto J: How well does the metabolic syndrome defined by five definitions predict incident diabetes and incident coronary heart disease in a Chinese population? Atherosclerosis 192:161–168, 2007 · DOI
  9. Egger M, Davey SG, Schneider M, Minder C: Bias in meta-analysis detected by a simple, graphical test. BMJ 315:629–634, 1997 · DOI · Paper page
  10. Hanson RL, Imperatore G, Bennett PH, Knowler WC: Components of the “metabolic syndrome” and incidence of type 2 diabetes. Diabetes 51:3120–3127, 2002 · DOI · Paper page
  11. Resnick HE, Jones K, Ruotolo G, Jain AK, Henderson J, Lu W, Howard BV: Insulin resistance, the metabolic syndrome, and risk of incident cardiovascular disease in nondiabetic American Indians: the Strong Heart Study. Diabetes Care 26:861–867, 2003 · DOI · Paper page
  12. Lorenzo C, Okoloise M, Williams K, Stern MP, Haffner SM: The metabolic syndrome as predictor of type 2 diabetes: the San Antonio heart study. Diabetes Care 26:3153–3159, 2003 · DOI · Paper page
  13. Wilson PW, D’Agostino RB, Parise H, Sullivan L, Meigs JB: Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation 112:3066–3072, 2005 · DOI · Paper page
  14. Hanley AJ, Karter AJ, Williams K, Festa A, D’Agostino RB, Jr, Wagenknecht LE, Haffner SM: Prediction of type 2 diabetes mellitus with alternative definitions of the metabolic syndrome: the Insulin Resistance Atherosclerosis Study. Circulation 112:3713–3721, 2005 · DOI · Paper page
  15. Meigs JB, Wilson PW, Fox CS, Vasan RS, Nathan DM, Sullivan LM, D’Agostino RB: Body mass index, metabolic syndrome, and risk of type 2 diabetes or cardiovascular disease. J Clin Endocrinol Metab 91:2906–2912, 2006 · DOI · Paper page
  16. Lorenzo C, Williams K, Hunt KJ, Haffner SM: The National Cholesterol Education Program-Adult Treatment Panel III, International Diabetes Federation, and World Health Organization definitions of the metabolic syndrome as predictors of incident cardiovascular disease and diabetes. Diabetes Care 30:8–13, 2007 · DOI · Paper page
  17. Meigs JB, Rutter MK, Sullivan LM, Fox CS, D’Agostino RB, Sr, Wilson PW: Impact of insulin resistance on risk of type 2 diabetes and cardiovascular disease in people with metabolic syndrome. Diabetes Care 30:1219–1225, 2007 · DOI · Paper page
  18. Cheung BM, Wat NM, Man YB, Tam S, Thomas GN, Leung GM, Cheng CH, Woo J, Janus ED, Lau CP, Lam TH, Lam KS: Development of diabetes in Chinese with the metabolic syndrome: a 6-year prospective study. Diabetes Care 30:1430-1436, 2007 · DOI
  19. Elwood PC, Pickering JE, Fehily AM: Milk and dairy consumption, diabetes and the metabolic syndrome: the Caerphilly prospective study. J Epidemiol Community Health 61:695–698, 2007 · DOI · Paper page
  20. Cameron AJ, Zimmet PZ, Soderberg S, Alberti KG, Sicree R, Tuomilehto J, Chitson P, Shaw JE: The metabolic syndrome as a predictor of incident diabetes mellitus in Mauritius. Diabet Med 24:1460–1469, 2007 · DOI
  21. Mannucci E, Monami M, Cresci B, Pala L, Bardini G, Petracca MG, Dicembrini I, Pasqua A, Buiatti E, Rotella CM: National Cholesterol Education Program and International Diabetes Federation definitions of metabolic syndrome in the prediction of diabetes. Results from the FIrenze-Bagno A Ripoli study. Diabetes Obes Metab 10:430–435, 2008 · DOI
  22. Cameron AJ, Magliano DJ, Zimmet PZ, Welborn TA, Colagiuri S, Tonkin AM, Shaw JE: The metabolic syndrome as a tool for predicting future diabetes: the AusDiab study. J Intern Med Epub ahead of print, 2008 · DOI
  23. Hadaegh F, Ghasemi A, Padyab M, Tohidi M, Azizi F: The metabolic syndrome and incident diabetes: Assessment of alternative definitions of the metabolic syndrome in an Iranian urban population. Diabetes Res Clin Pract 80:328–334, 2008 · DOI
  24. Onat A, Hergenc G, Keles I, Dogan Y, Turkmen S, Sansoy V: Sex difference in development of diabetes and cardiovascular disease on the way from obesity and metabolic syndrome. Metabolism 54:800–808, 2005 · DOI
  25. Schmidt MI, Duncan BB, Bang H, Pankow JS, Ballantyne CM, Golden SH, Folsom AR, Chambless LE: Identifying individuals at high risk for diabetes: The Atherosclerosis Risk in Communities study. Diabetes Care 28:2013–2018, 2005 · DOI · Paper page
  26. Klein BE, Klein R, Lee KE: Components of the metabolic syndrome and risk of cardiovascular disease and diabetes in Beaver Dam. Diabetes Care 25:1790–1794, 2002 · DOI · Paper page
  27. Stern MP, Williams K, Haffner SM: Identification of persons at high risk for type 2 diabetes mellitus: do we need the oral glucose tolerance test? Ann Intern Med 136:575–581, 2002 · DOI · Paper page
  28. Lindstrom J, Tuomilehto J: The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care 26:725–731, 2003 · DOI · Paper page
  29. Schulze MB, Hoffmann K, Boeing H, Linseisen J, Rohrmann S, Mohlig M, Pfeiffer AF, Spranger J, Thamer C, Haring HU, Fritsche A, Joost HG: An accurate risk score based on anthropometric, dietary, and lifestyle factors to predict the development of type 2 diabetes. Diabetes Care 30:510–515, 2007 · DOI · Paper page
  30. Macchia A, Levantesi G, Borrelli G, Franzosi MG, Maggioni AP, Marfisi R, Scarano M, Tavazzi L, Tognoni G, Valagussa F, Marchioli R: A clinically practicable diagnostic score for metabolic syndrome improves its predictivity of diabetes mellitus: the Gruppo Italiano per lo Studio della Sopravvivenza nell’Infarto miocardico (GISSI)-Prevenzione scoring. Am Heart J 151:754, 2006 · DOI

Cited by

See all 577

Metadata

Authors
Ford, E. S., Li, C., & Sattar, N.
Venue
Diabetes Care
Published
2008-09-01
Volume
31
Issue
9
Pages
1898-1904
ISSN
  • 0149-5992 (ISSN-L)
  • 1935-5548
OpenAlex
W2096740997
Cited by
577
References
8
FWCI
23.09
Type
journal article
Language
en
Open access
hybrid

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Metabolic Syndrome and Incident Diabetes. https://app.cochat.ai/papers/10.2337/dc08-0423
The paper
Ford, E. S., Li, C., & Sattar, N. (2008). Metabolic Syndrome and Incident Diabetes. Diabetes Care. https://doi.org/10.2337/dc08-0423

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.