Literature DB >> 16079964

The metabolic syndrome: time for a critical appraisal. Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes.

R Kahn1, J Buse, E Ferrannini, M Stern.   

Abstract

BACKGROUND: The term 'metabolic syndrome' refers to a clustering of specific cardiovascular disease (CVD) risk factors whose underlying pathophysiology is thought to be related to insulin resistance.
METHODS: Since the term is widely used in research and clinical practice, we undertook an extensive review of the literature in relation to the syndrome's definition, underlying pathogenesis, association with cardiovascular disease and to the goals and impact of treatment. DISCUSSION: While there is no question that certain CVD risk factors are prone to cluster, we found that the metabolic syndrome has been imprecisely defined, there is a lack of certainty regarding its pathogenesis, and there is considerable doubt regarding its value as a CVD risk marker. Our analysis indicates that too much critically important information is missing to warrant its designation as a 'syndrome'.
CONCLUSION: Until much-needed research is completed, clinicians should evaluate and treat all CVD risk factors without regard to whether a patient meets the criteria for diagnosis of the 'metabolic syndrome'.

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Mesh:

Year:  2005        PMID: 16079964     DOI: 10.1007/s00125-005-1876-2

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  159 in total

1.  Risk variable clustering in the insulin resistance syndrome. The Framingham Offspring Study.

Authors:  J B Meigs; R B D'Agostino; P W Wilson; L A Cupples; D M Nathan; D E Singer
Journal:  Diabetes       Date:  1997-10       Impact factor: 9.461

2.  Cardiovascular morbidity and mortality associated with the metabolic syndrome.

Authors:  B Isomaa; P Almgren; T Tuomi; B Forsén; K Lahti; M Nissén; M R Taskinen; L Groop
Journal:  Diabetes Care       Date:  2001-04       Impact factor: 19.112

3.  Insulin resistance syndrome predicts coronary heart disease events in elderly type 2 diabetic men.

Authors:  J Kuusisto; P Lempiäinen; L Mykkänen; M Laakso
Journal:  Diabetes Care       Date:  2001-09       Impact factor: 19.112

4.  Do different dimensions of the metabolic syndrome change together over time? Evidence supporting obesity as the central feature.

Authors:  P Maison; C D Byrne; C N Hales; N E Day; N J Wareham
Journal:  Diabetes Care       Date:  2001-10       Impact factor: 19.112

5.  Relative contribution of insulin and its precursors to fibrinogen and PAI-1 in a large population with different states of glucose tolerance. The Insulin Resistance Atherosclerosis Study (IRAS).

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Review 6.  Albuminuria reflects widespread vascular damage. The Steno hypothesis.

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Journal:  Diabetologia       Date:  1989-04       Impact factor: 10.122

7.  The cardiovascular risk factor plasminogen activator inhibitor type 1 is related to insulin resistance.

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Journal:  Metabolism       Date:  1993-08       Impact factor: 8.694

8.  Carotid artery wall intima-media thickness is associated with insulin-mediated glucose disposal in men at high and low coronary risk.

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Journal:  Stroke       Date:  1995-06       Impact factor: 7.914

9.  Decreased plasma adiponectin concentrations in women with dyslipidemia.

Authors:  Miyao Matsubara; Shoji Maruoka; Shinji Katayose
Journal:  J Clin Endocrinol Metab       Date:  2002-06       Impact factor: 5.958

10.  Coronary-heart-disease risk and impaired glucose tolerance. The Whitehall study.

Authors:  J H Fuller; M J Shipley; G Rose; R J Jarrett; H Keen
Journal:  Lancet       Date:  1980-06-28       Impact factor: 79.321

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  102 in total

1.  Metabolic syndrome under fire: weighing in on the truth.

Authors:  A Y Cheng; Lawrence A Leiter
Journal:  Can J Cardiol       Date:  2006-04       Impact factor: 5.223

2.  Practical way to assess metabolic syndrome using a continuous score obtained from principal components analysis.

Authors:  T A Hillier; A Rousseau; C Lange; P Lépinay; M Cailleau; M Novak; E Calliez; P Ducimetière; B Balkau
Journal:  Diabetologia       Date:  2006-05-16       Impact factor: 10.122

Review 3.  [Comorbidities and complications of adiposis].

Authors:  C Dieterle; R Landgraf
Journal:  Internist (Berl)       Date:  2006-02       Impact factor: 0.743

4.  The market in diabetes.

Authors:  Alexandra Hauber; Edwin A M Gale
Journal:  Diabetologia       Date:  2006-02       Impact factor: 10.122

5.  Does pregnancy or pregnancy loss increase later maternal risk of diabetes?

Authors:  Elham Kharazmi; Annekatrin Lukanova; Birgit Teucher; Marie-Luise Groß; Rudolf Kaaks
Journal:  Eur J Epidemiol       Date:  2012-04-27       Impact factor: 8.082

6.  Association of sequence variations in the gene encoding adiponectin receptor 1 (ADIPOR1) with body size and insulin levels. The Finnish Diabetes Prevention Study.

Authors:  N Siitonen; L Pulkkinen; U Mager; J Lindström; J G Eriksson; T T Valle; H Hämäläinen; P Ilanne-Parikka; S Keinänen-Kiukaanniemi; J Tuomilehto; M Laakso; M Uusitupa
Journal:  Diabetologia       Date:  2006-05-25       Impact factor: 10.122

7.  Treating metabolic syndrome: lifestyle change or medication?

Authors:  Anna Emili; Hani Abushomar; Kalpana Nair
Journal:  Can Fam Physician       Date:  2007-07       Impact factor: 3.275

8.  Renal clearance of uric acid is linked to insulin resistance and lower excretion of sodium in gout patients.

Authors:  Fernando Perez-Ruiz; Maria Angeles Aniel-Quiroga; Ana María Herrero-Beites; Sandra Pamela Chinchilla; Gorka Garcia Erauskin; Toni Merriman
Journal:  Rheumatol Int       Date:  2015-03-13       Impact factor: 2.631

9.  The metabolic syndrome: useful concept or clinical tool? Report of a WHO Expert Consultation.

Authors:  R K Simmons; K G M M Alberti; E A M Gale; S Colagiuri; J Tuomilehto; Q Qiao; A Ramachandran; N Tajima; I Brajkovich Mirchov; A Ben-Nakhi; G Reaven; B Hama Sambo; S Mendis; G Roglic
Journal:  Diabetologia       Date:  2009-12-11       Impact factor: 10.122

10.  Validation of metabolic syndrome score by confirmatory factor analysis in children and adults and prediction of cardiometabolic outcomes in adults.

Authors:  Anna Viitasalo; Timo A Lakka; David E Laaksonen; Kai Savonen; Hanna-Maaria Lakka; Maija Hassinen; Pirjo Komulainen; Tuomo Tompuri; Sudhir Kurl; Jari A Laukkanen; Rainer Rauramaa
Journal:  Diabetologia       Date:  2014-01-24       Impact factor: 10.122

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