Screening for Diabetes in an Outpatient Clinic Population
BACKGROUND: Opportunistic disease screening is the routine, asymptomatic disease screening of patients at the time of a physician encounter for other reasons. While the prevalence of unrecognized diabetes in community populations is well known, the prevalence in clinical populations is unknown. OBJE...
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container_title | Journal of general internal medicine : JGIM |
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creator | Edelman, David Edwards, Lloyd J. Olsen, Maren K. Dudley, Tara K. Harris, Amy C. Blackwell, Dana K. Oddone, Eugene Z. |
description | BACKGROUND: Opportunistic disease screening is the routine, asymptomatic disease screening of patients at the time of a physician encounter for other reasons. While the prevalence of unrecognized diabetes in community populations is well known, the prevalence in clinical populations is unknown.
OBJECTIVE: To describe the prevalence, predictors, and clinical severity of unrecognized diabetes among outpatients at a major medical center.
DESIGN AND SETTING: A cross‐sectional observational study at the Durham Veterans Affairs Medical Center.
SUBJECTS: Outpatients without recognized diabetes (N = 1,253).
METHODS: We screened patients for diabetes by using an initial random Hemoglobin A1c (HbA1c) measurement, and then obtaining follow‐up fasting plasma glucose (FPG) for all subjects with HbA1c ≥6.0%. A case of unrecognized diabetes was defined as either HbA1c ≥7.0% or FPG ≥7 mmol/L (126 mg/dL). Height and weight were obtained for all subjects. We also obtained resting blood pressure, fasting lipids, and urine protein in subjects with HbA1c ≥6.0%.
RESULTS: The prevalence of unrecognized diabetes was 4.5% (95% confidence interval [CI], 3.4 to 5.7). Factors associated with unrecognized diabetes were the diagnosis of hypertension (adjusted odds ratio [OR], 2.5; P = .004), weight >120% of ideal (adjusted OR, 2.2; P = .02), and history of a parent or sibling with diabetes (adjusted OR, 1.7; P = .06). Having a primary care provider did not raise or lower the risk for unrecognized diabetes (P = .73). Based on the new diagnosis, most patients (61%) found to have diabetes required a change in treatment either of their blood sugar or comorbid hypertension or hyperlipidemia in order to achieve targets recommended in published treatment guidelines. Patients reporting a primary care provider were no less likely to require a change in treatment (P = .20).
CONCLUSIONS: If diabetes screening is an effective intervention, opportunistic screening for diabetes may be the preferred method for screening, because there is substantial potential for case‐finding in a medical center outpatient setting. A majority of patients with diabetes diagnosed at opportunistic screening will require a change in treatment of blood sugar, blood pressure, or lipids to receive optimal care. |
doi_str_mv | 10.1046/j.1525-1497.2002.10420.x |
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OBJECTIVE: To describe the prevalence, predictors, and clinical severity of unrecognized diabetes among outpatients at a major medical center.
DESIGN AND SETTING: A cross‐sectional observational study at the Durham Veterans Affairs Medical Center.
SUBJECTS: Outpatients without recognized diabetes (N = 1,253).
METHODS: We screened patients for diabetes by using an initial random Hemoglobin A1c (HbA1c) measurement, and then obtaining follow‐up fasting plasma glucose (FPG) for all subjects with HbA1c ≥6.0%. A case of unrecognized diabetes was defined as either HbA1c ≥7.0% or FPG ≥7 mmol/L (126 mg/dL). Height and weight were obtained for all subjects. We also obtained resting blood pressure, fasting lipids, and urine protein in subjects with HbA1c ≥6.0%.
RESULTS: The prevalence of unrecognized diabetes was 4.5% (95% confidence interval [CI], 3.4 to 5.7). Factors associated with unrecognized diabetes were the diagnosis of hypertension (adjusted odds ratio [OR], 2.5; P = .004), weight >120% of ideal (adjusted OR, 2.2; P = .02), and history of a parent or sibling with diabetes (adjusted OR, 1.7; P = .06). Having a primary care provider did not raise or lower the risk for unrecognized diabetes (P = .73). Based on the new diagnosis, most patients (61%) found to have diabetes required a change in treatment either of their blood sugar or comorbid hypertension or hyperlipidemia in order to achieve targets recommended in published treatment guidelines. Patients reporting a primary care provider were no less likely to require a change in treatment (P = .20).
CONCLUSIONS: If diabetes screening is an effective intervention, opportunistic screening for diabetes may be the preferred method for screening, because there is substantial potential for case‐finding in a medical center outpatient setting. A majority of patients with diabetes diagnosed at opportunistic screening will require a change in treatment of blood sugar, blood pressure, or lipids to receive optimal care.</description><identifier>ISSN: 0884-8734</identifier><identifier>EISSN: 1525-1497</identifier><identifier>DOI: 10.1046/j.1525-1497.2002.10420.x</identifier><identifier>PMID: 11903772</identifier><language>eng</language><publisher>Boston, MA, USA: Blackwell Science Inc</publisher><subject>Aged ; Asymptomatic ; Biological and medical sciences ; Blood Glucose - analysis ; Blood pressure ; Cholesterol - blood ; Cost analysis ; Cross-Sectional Studies ; Diabetes ; Diabetes Mellitus - blood ; Diabetes Mellitus - diagnosis ; Diabetes Mellitus - epidemiology ; Diabetes. Impaired glucose tolerance ; Disease ; disease screening ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Etiopathogenesis. Screening. Investigations. Target tissue resistance ; Female ; Glucose ; Hemoglobin ; Hospitals, Veterans ; Humans ; Hypertension ; Hypertension - complications ; Hypertension - epidemiology ; Internal medicine ; Logistic Models ; Male ; Mass Screening - statistics & numerical data ; Medical sciences ; Medical screening ; metabolic syndrome ; Middle Aged ; North Carolina - epidemiology ; Obesity - complications ; Obesity - epidemiology ; Original ; Outpatient care facilities ; Outpatient Clinics, Hospital - statistics & numerical data ; Patient Acceptance of Health Care ; Patients ; Population ; Prevalence ; Primary care ; Questionnaires ; Risk Factors ; Veterans</subject><ispartof>Journal of general internal medicine : JGIM, 2002-01, Vol.17 (1), p.23-28</ispartof><rights>2002 INIST-CNRS</rights><rights>Blackwell Science Inc 2002</rights><rights>2002 by the Society of General Internal Medicine 2002</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5280-3e2162ddfe79b3febe69607b39ef0a06c21837fd1022b6d43a6d7414b4f55ef33</citedby><cites>FETCH-LOGICAL-c5280-3e2162ddfe79b3febe69607b39ef0a06c21837fd1022b6d43a6d7414b4f55ef33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1494994/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1494994/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1411,4010,27900,27901,27902,45550,45551,53766,53768</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13500650$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/11903772$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Edelman, David</creatorcontrib><creatorcontrib>Edwards, Lloyd J.</creatorcontrib><creatorcontrib>Olsen, Maren K.</creatorcontrib><creatorcontrib>Dudley, Tara K.</creatorcontrib><creatorcontrib>Harris, Amy C.</creatorcontrib><creatorcontrib>Blackwell, Dana K.</creatorcontrib><creatorcontrib>Oddone, Eugene Z.</creatorcontrib><title>Screening for Diabetes in an Outpatient Clinic Population</title><title>Journal of general internal medicine : JGIM</title><addtitle>J Gen Intern Med</addtitle><description>BACKGROUND: Opportunistic disease screening is the routine, asymptomatic disease screening of patients at the time of a physician encounter for other reasons. While the prevalence of unrecognized diabetes in community populations is well known, the prevalence in clinical populations is unknown.
OBJECTIVE: To describe the prevalence, predictors, and clinical severity of unrecognized diabetes among outpatients at a major medical center.
DESIGN AND SETTING: A cross‐sectional observational study at the Durham Veterans Affairs Medical Center.
SUBJECTS: Outpatients without recognized diabetes (N = 1,253).
METHODS: We screened patients for diabetes by using an initial random Hemoglobin A1c (HbA1c) measurement, and then obtaining follow‐up fasting plasma glucose (FPG) for all subjects with HbA1c ≥6.0%. A case of unrecognized diabetes was defined as either HbA1c ≥7.0% or FPG ≥7 mmol/L (126 mg/dL). Height and weight were obtained for all subjects. We also obtained resting blood pressure, fasting lipids, and urine protein in subjects with HbA1c ≥6.0%.
RESULTS: The prevalence of unrecognized diabetes was 4.5% (95% confidence interval [CI], 3.4 to 5.7). Factors associated with unrecognized diabetes were the diagnosis of hypertension (adjusted odds ratio [OR], 2.5; P = .004), weight >120% of ideal (adjusted OR, 2.2; P = .02), and history of a parent or sibling with diabetes (adjusted OR, 1.7; P = .06). Having a primary care provider did not raise or lower the risk for unrecognized diabetes (P = .73). Based on the new diagnosis, most patients (61%) found to have diabetes required a change in treatment either of their blood sugar or comorbid hypertension or hyperlipidemia in order to achieve targets recommended in published treatment guidelines. Patients reporting a primary care provider were no less likely to require a change in treatment (P = .20).
CONCLUSIONS: If diabetes screening is an effective intervention, opportunistic screening for diabetes may be the preferred method for screening, because there is substantial potential for case‐finding in a medical center outpatient setting. A majority of patients with diabetes diagnosed at opportunistic screening will require a change in treatment of blood sugar, blood pressure, or lipids to receive optimal care.</description><subject>Aged</subject><subject>Asymptomatic</subject><subject>Biological and medical sciences</subject><subject>Blood Glucose - analysis</subject><subject>Blood pressure</subject><subject>Cholesterol - blood</subject><subject>Cost analysis</subject><subject>Cross-Sectional Studies</subject><subject>Diabetes</subject><subject>Diabetes Mellitus - blood</subject><subject>Diabetes Mellitus - diagnosis</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Disease</subject><subject>disease screening</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Etiopathogenesis. Screening. Investigations. Target tissue resistance</subject><subject>Female</subject><subject>Glucose</subject><subject>Hemoglobin</subject><subject>Hospitals, Veterans</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - complications</subject><subject>Hypertension - epidemiology</subject><subject>Internal medicine</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Mass Screening - statistics & numerical data</subject><subject>Medical sciences</subject><subject>Medical screening</subject><subject>metabolic syndrome</subject><subject>Middle Aged</subject><subject>North Carolina - epidemiology</subject><subject>Obesity - complications</subject><subject>Obesity - epidemiology</subject><subject>Original</subject><subject>Outpatient care facilities</subject><subject>Outpatient Clinics, Hospital - statistics & numerical data</subject><subject>Patient Acceptance of Health Care</subject><subject>Patients</subject><subject>Population</subject><subject>Prevalence</subject><subject>Primary care</subject><subject>Questionnaires</subject><subject>Risk Factors</subject><subject>Veterans</subject><issn>0884-8734</issn><issn>1525-1497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkU1v1DAQhi0EokvhL6AICW5Zxt_2BQktUIoqFQk4W45jF6-yzmIn0P57nHbVBU6cbM08M_POvAg1GNYYmHi9XWNOeIuZlmsCQJYogfX1A7S6TzxEK1CKtUpSdoKelLIFwJQQ9RidYKyBSklWSH9x2fsU01UTxty8i7bzky9NTI1NzeU87e0UfZqazRBTdM3ncT8PNTSmp-hRsEPxzw7vKfr24f3Xzcf24vLsfPP2onWcKGipJ1iQvg9e6o4G33mhBciOah_AgnAEKypDj4GQTvSMWtFLhlnHAuc-UHqK3tz13c_dzveuisl2MPscdzbfmNFG83cmxe_mavxp6hGY1qw2eHVokMcfsy-T2cXi_DDY5Me5GIk5I1zoCr74B9yOc051OaMJpQpjriqk7iCXx1KyD_dKMJjFHLM1iwfLeGkWc8ytOea6lj7_c5Nj4cGNCrw8ALY4O4Rsk4vlyFEOIDgcT_IrDv7mvwWYT2fnt1_6G6zUqiQ</recordid><startdate>200201</startdate><enddate>200201</enddate><creator>Edelman, David</creator><creator>Edwards, Lloyd J.</creator><creator>Olsen, Maren K.</creator><creator>Dudley, Tara K.</creator><creator>Harris, Amy C.</creator><creator>Blackwell, Dana K.</creator><creator>Oddone, Eugene Z.</creator><general>Blackwell Science Inc</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>200201</creationdate><title>Screening for Diabetes in an Outpatient Clinic Population</title><author>Edelman, David ; Edwards, Lloyd J. ; Olsen, Maren K. ; Dudley, Tara K. ; Harris, Amy C. ; Blackwell, Dana K. ; Oddone, Eugene Z.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5280-3e2162ddfe79b3febe69607b39ef0a06c21837fd1022b6d43a6d7414b4f55ef33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Aged</topic><topic>Asymptomatic</topic><topic>Biological and medical sciences</topic><topic>Blood Glucose - analysis</topic><topic>Blood pressure</topic><topic>Cholesterol - blood</topic><topic>Cost analysis</topic><topic>Cross-Sectional Studies</topic><topic>Diabetes</topic><topic>Diabetes Mellitus - blood</topic><topic>Diabetes Mellitus - diagnosis</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Diabetes. Impaired glucose tolerance</topic><topic>Disease</topic><topic>disease screening</topic><topic>Endocrine pancreas. Apud cells (diseases)</topic><topic>Endocrinopathies</topic><topic>Etiopathogenesis. Screening. Investigations. Target tissue resistance</topic><topic>Female</topic><topic>Glucose</topic><topic>Hemoglobin</topic><topic>Hospitals, Veterans</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - complications</topic><topic>Hypertension - epidemiology</topic><topic>Internal medicine</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Mass Screening - statistics & numerical data</topic><topic>Medical sciences</topic><topic>Medical screening</topic><topic>metabolic syndrome</topic><topic>Middle Aged</topic><topic>North Carolina - epidemiology</topic><topic>Obesity - complications</topic><topic>Obesity - epidemiology</topic><topic>Original</topic><topic>Outpatient care facilities</topic><topic>Outpatient Clinics, Hospital - statistics & numerical data</topic><topic>Patient Acceptance of Health Care</topic><topic>Patients</topic><topic>Population</topic><topic>Prevalence</topic><topic>Primary care</topic><topic>Questionnaires</topic><topic>Risk Factors</topic><topic>Veterans</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Edelman, David</creatorcontrib><creatorcontrib>Edwards, Lloyd J.</creatorcontrib><creatorcontrib>Olsen, Maren K.</creatorcontrib><creatorcontrib>Dudley, Tara K.</creatorcontrib><creatorcontrib>Harris, Amy C.</creatorcontrib><creatorcontrib>Blackwell, Dana K.</creatorcontrib><creatorcontrib>Oddone, Eugene Z.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Nursing & Allied Health Database</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</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>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</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>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</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 Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of general internal medicine : JGIM</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Edelman, David</au><au>Edwards, Lloyd J.</au><au>Olsen, Maren K.</au><au>Dudley, Tara K.</au><au>Harris, Amy C.</au><au>Blackwell, Dana K.</au><au>Oddone, Eugene Z.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Screening for Diabetes in an Outpatient Clinic Population</atitle><jtitle>Journal of general internal medicine : JGIM</jtitle><addtitle>J Gen Intern Med</addtitle><date>2002-01</date><risdate>2002</risdate><volume>17</volume><issue>1</issue><spage>23</spage><epage>28</epage><pages>23-28</pages><issn>0884-8734</issn><eissn>1525-1497</eissn><abstract>BACKGROUND: Opportunistic disease screening is the routine, asymptomatic disease screening of patients at the time of a physician encounter for other reasons. While the prevalence of unrecognized diabetes in community populations is well known, the prevalence in clinical populations is unknown.
OBJECTIVE: To describe the prevalence, predictors, and clinical severity of unrecognized diabetes among outpatients at a major medical center.
DESIGN AND SETTING: A cross‐sectional observational study at the Durham Veterans Affairs Medical Center.
SUBJECTS: Outpatients without recognized diabetes (N = 1,253).
METHODS: We screened patients for diabetes by using an initial random Hemoglobin A1c (HbA1c) measurement, and then obtaining follow‐up fasting plasma glucose (FPG) for all subjects with HbA1c ≥6.0%. A case of unrecognized diabetes was defined as either HbA1c ≥7.0% or FPG ≥7 mmol/L (126 mg/dL). Height and weight were obtained for all subjects. We also obtained resting blood pressure, fasting lipids, and urine protein in subjects with HbA1c ≥6.0%.
RESULTS: The prevalence of unrecognized diabetes was 4.5% (95% confidence interval [CI], 3.4 to 5.7). Factors associated with unrecognized diabetes were the diagnosis of hypertension (adjusted odds ratio [OR], 2.5; P = .004), weight >120% of ideal (adjusted OR, 2.2; P = .02), and history of a parent or sibling with diabetes (adjusted OR, 1.7; P = .06). Having a primary care provider did not raise or lower the risk for unrecognized diabetes (P = .73). Based on the new diagnosis, most patients (61%) found to have diabetes required a change in treatment either of their blood sugar or comorbid hypertension or hyperlipidemia in order to achieve targets recommended in published treatment guidelines. Patients reporting a primary care provider were no less likely to require a change in treatment (P = .20).
CONCLUSIONS: If diabetes screening is an effective intervention, opportunistic screening for diabetes may be the preferred method for screening, because there is substantial potential for case‐finding in a medical center outpatient setting. A majority of patients with diabetes diagnosed at opportunistic screening will require a change in treatment of blood sugar, blood pressure, or lipids to receive optimal care.</abstract><cop>Boston, MA, USA</cop><pub>Blackwell Science Inc</pub><pmid>11903772</pmid><doi>10.1046/j.1525-1497.2002.10420.x</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Asymptomatic Biological and medical sciences Blood Glucose - analysis Blood pressure Cholesterol - blood Cost analysis Cross-Sectional Studies Diabetes Diabetes Mellitus - blood Diabetes Mellitus - diagnosis Diabetes Mellitus - epidemiology Diabetes. Impaired glucose tolerance Disease disease screening Endocrine pancreas. Apud cells (diseases) Endocrinopathies Etiopathogenesis. Screening. Investigations. Target tissue resistance Female Glucose Hemoglobin Hospitals, Veterans Humans Hypertension Hypertension - complications Hypertension - epidemiology Internal medicine Logistic Models Male Mass Screening - statistics & numerical data Medical sciences Medical screening metabolic syndrome Middle Aged North Carolina - epidemiology Obesity - complications Obesity - epidemiology Original Outpatient care facilities Outpatient Clinics, Hospital - statistics & numerical data Patient Acceptance of Health Care Patients Population Prevalence Primary care Questionnaires Risk Factors Veterans |
title | Screening for Diabetes in an Outpatient Clinic Population |
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