Glycemic Status and Development of Kidney Disease: The Framingham Heart Study
OBJECTIVE:--Diabetes is a major risk factor for the development of kidney disease and is the leading cause of end-stage renal disease in the U.S. Whether pre-diabetes is associated with the development of kidney disease is unclear. RESEARCH DESIGN AND METHODS--Subjects free of chronic kidney disease...
Gespeichert in:
Veröffentlicht in: | Diabetes care 2005-10, Vol.28 (10), p.2436-2440 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2440 |
---|---|
container_issue | 10 |
container_start_page | 2436 |
container_title | Diabetes care |
container_volume | 28 |
creator | Fox, Caroline S Larson, Martin G Leip, Eric P Meigs, James B Wilson, Peter W.F Levy, Daniel |
description | OBJECTIVE:--Diabetes is a major risk factor for the development of kidney disease and is the leading cause of end-stage renal disease in the U.S. Whether pre-diabetes is associated with the development of kidney disease is unclear. RESEARCH DESIGN AND METHODS--Subjects free of chronic kidney disease (CKD) were drawn from the Framingham Heart Study offspring cohort (1991-1995), given an oral glucose tolerance test, and followed for an average of 7 years for development of CKD (glomerular filtration rate [GFR] of |
doi_str_mv | 10.2337/diacare.28.10.2436 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_68622154</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A137965771</galeid><sourcerecordid>A137965771</sourcerecordid><originalsourceid>FETCH-LOGICAL-f367t-eb059a7c933ef4c12852fc88d7c2e55c254e864e8a452176ed17e9c0ad4346cb3</originalsourceid><addsrcrecordid>eNpt0d1LHDEQAPBQWurV9h_oQ7sU6tte8_3RN9GqRaUP6vMyl509I7vZa7JbuP--kTsRRDIhMPwmTDKEfGZ0yYUwP9oAHhIuuV0-pqTQb8iCOaFqpaR9SxaUSVcr5_gB-ZDzA6VUSmvfkwOmmdXc6AW5Pu-3Hofgq5sJpjlXENvqFP9hP24GjFM1dtVlaCNuq9OQETL-rG7vsTpLMIS4voehukBIUymf2-1H8q6DPuOn_XlI7s5-3Z5c1Fd_zn-fHF_VndBmqnFFlQPjnRDYSc-4Vbzz1rbGc1TKcyXR6rJBKs6MxpYZdJ5CK4XUfiUOydHu3k0a_86Yp2YI2WPfQ8Rxzo0ur-NMyQK_vYAP45xi6a3hXFAhrTYF1Tu0hh6bELtxSuDXGDFBP0bsQkkfM2GcVsaw4pev-LLax498teDLvot5NWDbbFIYIG2bpzEU8H0PIHvouwTRh_zsDNPSGVfc153rYGxgnYq5u-GUCcqoKKHEf0AVnrM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>223034867</pqid></control><display><type>article</type><title>Glycemic Status and Development of Kidney Disease: The Framingham Heart Study</title><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Fox, Caroline S ; Larson, Martin G ; Leip, Eric P ; Meigs, James B ; Wilson, Peter W.F ; Levy, Daniel</creator><creatorcontrib>Fox, Caroline S ; Larson, Martin G ; Leip, Eric P ; Meigs, James B ; Wilson, Peter W.F ; Levy, Daniel</creatorcontrib><description>OBJECTIVE:--Diabetes is a major risk factor for the development of kidney disease and is the leading cause of end-stage renal disease in the U.S. Whether pre-diabetes is associated with the development of kidney disease is unclear. RESEARCH DESIGN AND METHODS--Subjects free of chronic kidney disease (CKD) were drawn from the Framingham Heart Study offspring cohort (1991-1995), given an oral glucose tolerance test, and followed for an average of 7 years for development of CKD (glomerular filtration rate [GFR] of <59 ml/min per 1.73 m² in women and <64 ml/min per 1.73 m² in men). Multivariable logistic regression models, adjusted for cardiovascular disease risk factors including age, sex, hypertension, smoking, BMI, total and HDL cholesterol levels, and prevalent myocardial infarction or congestive heart failure, were used to estimate the odds of patients developing kidney disease among glycemic categories. RESULTS:--Of 2,398 subjects (53% women; mean age 54 years), 63% were normoglycemic, 29% had impaired fasting glucose (IFG) or impaired glucose tolerance (IGT), 3.4% were newly diabetic, and 4.6% had known diabetes. By glycemic category, mean GFR at follow-up was 87, 85, 82, and 78 ml/min per 1.73 m², respectively. The fully adjusted odds of developing CKD were 0.98 (95% CI 0.67-1.45), 1.71 (95% CI 0.83-3.55), and 1.93 (95% CI 1.06-3.49) among those with IFG or IGT, newly diagnosed diabetes, or known diabetes, respectively, compared with those who were normoglycemic at baseline. Among participants without diabetes, metabolic syndrome was not associated with kidney disease at follow-up (odds ratio 1.46, P = 0.06). CONCLUSIONS:--Cardiovascular disease risk factors explain much of the relationship between prediabetes and the development of chronic kidney disease. Clinical trials are warranted to determine whether vascular risk factor modification can slow the decline of kidney function among those with pre-diabetes.</description><identifier>ISSN: 0149-5992</identifier><identifier>EISSN: 1935-5548</identifier><identifier>DOI: 10.2337/diacare.28.10.2436</identifier><identifier>PMID: 16186276</identifier><identifier>CODEN: DICAD2</identifier><language>eng</language><publisher>Alexandria, VA: American Diabetes Association</publisher><subject>Adult ; Aged ; Biological and medical sciences ; Cardiovascular disease ; Cardiovascular diseases ; Care and treatment ; Correlation analysis ; Diabetes ; Diabetes. Impaired glucose tolerance ; Diabetic Nephropathies - epidemiology ; Diagnosis ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Female ; Humans ; Hyperglycemia - epidemiology ; Insulin Resistance ; Kidney diseases ; Longitudinal Studies ; Male ; Massachusetts - epidemiology ; Medical sciences ; Metabolic Syndrome - epidemiology ; Middle Aged ; Prediabetic State - epidemiology ; Renal Insufficiency, Chronic - epidemiology ; Risk Factors</subject><ispartof>Diabetes care, 2005-10, Vol.28 (10), p.2436-2440</ispartof><rights>2006 INIST-CNRS</rights><rights>COPYRIGHT 2005 American Diabetes Association</rights><rights>Copyright American Diabetes Association Oct 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17164979$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16186276$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fox, Caroline S</creatorcontrib><creatorcontrib>Larson, Martin G</creatorcontrib><creatorcontrib>Leip, Eric P</creatorcontrib><creatorcontrib>Meigs, James B</creatorcontrib><creatorcontrib>Wilson, Peter W.F</creatorcontrib><creatorcontrib>Levy, Daniel</creatorcontrib><title>Glycemic Status and Development of Kidney Disease: The Framingham Heart Study</title><title>Diabetes care</title><addtitle>Diabetes Care</addtitle><description>OBJECTIVE:--Diabetes is a major risk factor for the development of kidney disease and is the leading cause of end-stage renal disease in the U.S. Whether pre-diabetes is associated with the development of kidney disease is unclear. RESEARCH DESIGN AND METHODS--Subjects free of chronic kidney disease (CKD) were drawn from the Framingham Heart Study offspring cohort (1991-1995), given an oral glucose tolerance test, and followed for an average of 7 years for development of CKD (glomerular filtration rate [GFR] of <59 ml/min per 1.73 m² in women and <64 ml/min per 1.73 m² in men). Multivariable logistic regression models, adjusted for cardiovascular disease risk factors including age, sex, hypertension, smoking, BMI, total and HDL cholesterol levels, and prevalent myocardial infarction or congestive heart failure, were used to estimate the odds of patients developing kidney disease among glycemic categories. RESULTS:--Of 2,398 subjects (53% women; mean age 54 years), 63% were normoglycemic, 29% had impaired fasting glucose (IFG) or impaired glucose tolerance (IGT), 3.4% were newly diabetic, and 4.6% had known diabetes. By glycemic category, mean GFR at follow-up was 87, 85, 82, and 78 ml/min per 1.73 m², respectively. The fully adjusted odds of developing CKD were 0.98 (95% CI 0.67-1.45), 1.71 (95% CI 0.83-3.55), and 1.93 (95% CI 1.06-3.49) among those with IFG or IGT, newly diagnosed diabetes, or known diabetes, respectively, compared with those who were normoglycemic at baseline. Among participants without diabetes, metabolic syndrome was not associated with kidney disease at follow-up (odds ratio 1.46, P = 0.06). CONCLUSIONS:--Cardiovascular disease risk factors explain much of the relationship between prediabetes and the development of chronic kidney disease. Clinical trials are warranted to determine whether vascular risk factor modification can slow the decline of kidney function among those with pre-diabetes.</description><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Care and treatment</subject><subject>Correlation analysis</subject><subject>Diabetes</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Diabetic Nephropathies - epidemiology</subject><subject>Diagnosis</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Female</subject><subject>Humans</subject><subject>Hyperglycemia - epidemiology</subject><subject>Insulin Resistance</subject><subject>Kidney diseases</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Massachusetts - epidemiology</subject><subject>Medical sciences</subject><subject>Metabolic Syndrome - epidemiology</subject><subject>Middle Aged</subject><subject>Prediabetic State - epidemiology</subject><subject>Renal Insufficiency, Chronic - epidemiology</subject><subject>Risk Factors</subject><issn>0149-5992</issn><issn>1935-5548</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpt0d1LHDEQAPBQWurV9h_oQ7sU6tte8_3RN9GqRaUP6vMyl509I7vZa7JbuP--kTsRRDIhMPwmTDKEfGZ0yYUwP9oAHhIuuV0-pqTQb8iCOaFqpaR9SxaUSVcr5_gB-ZDzA6VUSmvfkwOmmdXc6AW5Pu-3Hofgq5sJpjlXENvqFP9hP24GjFM1dtVlaCNuq9OQETL-rG7vsTpLMIS4voehukBIUymf2-1H8q6DPuOn_XlI7s5-3Z5c1Fd_zn-fHF_VndBmqnFFlQPjnRDYSc-4Vbzz1rbGc1TKcyXR6rJBKs6MxpYZdJ5CK4XUfiUOydHu3k0a_86Yp2YI2WPfQ8Rxzo0ur-NMyQK_vYAP45xi6a3hXFAhrTYF1Tu0hh6bELtxSuDXGDFBP0bsQkkfM2GcVsaw4pev-LLax498teDLvot5NWDbbFIYIG2bpzEU8H0PIHvouwTRh_zsDNPSGVfc153rYGxgnYq5u-GUCcqoKKHEf0AVnrM</recordid><startdate>20051001</startdate><enddate>20051001</enddate><creator>Fox, Caroline S</creator><creator>Larson, Martin G</creator><creator>Leip, Eric P</creator><creator>Meigs, James B</creator><creator>Wilson, Peter W.F</creator><creator>Levy, Daniel</creator><general>American Diabetes Association</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7RV</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0K</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope></search><sort><creationdate>20051001</creationdate><title>Glycemic Status and Development of Kidney Disease: The Framingham Heart Study</title><author>Fox, Caroline S ; Larson, Martin G ; Leip, Eric P ; Meigs, James B ; Wilson, Peter W.F ; Levy, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-f367t-eb059a7c933ef4c12852fc88d7c2e55c254e864e8a452176ed17e9c0ad4346cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Care and treatment</topic><topic>Correlation analysis</topic><topic>Diabetes</topic><topic>Diabetes. Impaired glucose tolerance</topic><topic>Diabetic Nephropathies - epidemiology</topic><topic>Diagnosis</topic><topic>Endocrine pancreas. Apud cells (diseases)</topic><topic>Endocrinopathies</topic><topic>Female</topic><topic>Humans</topic><topic>Hyperglycemia - epidemiology</topic><topic>Insulin Resistance</topic><topic>Kidney diseases</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Massachusetts - epidemiology</topic><topic>Medical sciences</topic><topic>Metabolic Syndrome - epidemiology</topic><topic>Middle Aged</topic><topic>Prediabetic State - epidemiology</topic><topic>Renal Insufficiency, Chronic - epidemiology</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fox, Caroline S</creatorcontrib><creatorcontrib>Larson, Martin G</creatorcontrib><creatorcontrib>Leip, Eric P</creatorcontrib><creatorcontrib>Meigs, James B</creatorcontrib><creatorcontrib>Wilson, Peter W.F</creatorcontrib><creatorcontrib>Levy, Daniel</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Agricultural Science Database</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes care</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fox, Caroline S</au><au>Larson, Martin G</au><au>Leip, Eric P</au><au>Meigs, James B</au><au>Wilson, Peter W.F</au><au>Levy, Daniel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Glycemic Status and Development of Kidney Disease: The Framingham Heart Study</atitle><jtitle>Diabetes care</jtitle><addtitle>Diabetes Care</addtitle><date>2005-10-01</date><risdate>2005</risdate><volume>28</volume><issue>10</issue><spage>2436</spage><epage>2440</epage><pages>2436-2440</pages><issn>0149-5992</issn><eissn>1935-5548</eissn><coden>DICAD2</coden><abstract>OBJECTIVE:--Diabetes is a major risk factor for the development of kidney disease and is the leading cause of end-stage renal disease in the U.S. Whether pre-diabetes is associated with the development of kidney disease is unclear. RESEARCH DESIGN AND METHODS--Subjects free of chronic kidney disease (CKD) were drawn from the Framingham Heart Study offspring cohort (1991-1995), given an oral glucose tolerance test, and followed for an average of 7 years for development of CKD (glomerular filtration rate [GFR] of <59 ml/min per 1.73 m² in women and <64 ml/min per 1.73 m² in men). Multivariable logistic regression models, adjusted for cardiovascular disease risk factors including age, sex, hypertension, smoking, BMI, total and HDL cholesterol levels, and prevalent myocardial infarction or congestive heart failure, were used to estimate the odds of patients developing kidney disease among glycemic categories. RESULTS:--Of 2,398 subjects (53% women; mean age 54 years), 63% were normoglycemic, 29% had impaired fasting glucose (IFG) or impaired glucose tolerance (IGT), 3.4% were newly diabetic, and 4.6% had known diabetes. By glycemic category, mean GFR at follow-up was 87, 85, 82, and 78 ml/min per 1.73 m², respectively. The fully adjusted odds of developing CKD were 0.98 (95% CI 0.67-1.45), 1.71 (95% CI 0.83-3.55), and 1.93 (95% CI 1.06-3.49) among those with IFG or IGT, newly diagnosed diabetes, or known diabetes, respectively, compared with those who were normoglycemic at baseline. Among participants without diabetes, metabolic syndrome was not associated with kidney disease at follow-up (odds ratio 1.46, P = 0.06). CONCLUSIONS:--Cardiovascular disease risk factors explain much of the relationship between prediabetes and the development of chronic kidney disease. Clinical trials are warranted to determine whether vascular risk factor modification can slow the decline of kidney function among those with pre-diabetes.</abstract><cop>Alexandria, VA</cop><pub>American Diabetes Association</pub><pmid>16186276</pmid><doi>10.2337/diacare.28.10.2436</doi><tpages>5</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0149-5992 |
ispartof | Diabetes care, 2005-10, Vol.28 (10), p.2436-2440 |
issn | 0149-5992 1935-5548 |
language | eng |
recordid | cdi_proquest_miscellaneous_68622154 |
source | MEDLINE; EZB-FREE-00999 freely available EZB journals |
subjects | Adult Aged Biological and medical sciences Cardiovascular disease Cardiovascular diseases Care and treatment Correlation analysis Diabetes Diabetes. Impaired glucose tolerance Diabetic Nephropathies - epidemiology Diagnosis Endocrine pancreas. Apud cells (diseases) Endocrinopathies Female Humans Hyperglycemia - epidemiology Insulin Resistance Kidney diseases Longitudinal Studies Male Massachusetts - epidemiology Medical sciences Metabolic Syndrome - epidemiology Middle Aged Prediabetic State - epidemiology Renal Insufficiency, Chronic - epidemiology Risk Factors |
title | Glycemic Status and Development of Kidney Disease: The Framingham Heart Study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T11%3A55%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Glycemic%20Status%20and%20Development%20of%20Kidney%20Disease:%20The%20Framingham%20Heart%20Study&rft.jtitle=Diabetes%20care&rft.au=Fox,%20Caroline%20S&rft.date=2005-10-01&rft.volume=28&rft.issue=10&rft.spage=2436&rft.epage=2440&rft.pages=2436-2440&rft.issn=0149-5992&rft.eissn=1935-5548&rft.coden=DICAD2&rft_id=info:doi/10.2337/diacare.28.10.2436&rft_dat=%3Cgale_proqu%3EA137965771%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=223034867&rft_id=info:pmid/16186276&rft_galeid=A137965771&rfr_iscdi=true |