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Search: L773:1935 5548 OR L773:0149 5992 > (2020-2024) > Accuracy of 1-Hour ...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00006440naa a2200697 4500
001oai:lup.lub.lu.se:88d43823-4d4c-4e2e-a23d-d854397ab228
003SwePub
008210407s2021 | |||||||||||000 ||eng|
0247 a https://lup.lub.lu.se/record/88d43823-4d4c-4e2e-a23d-d854397ab2282 URI
0247 a https://doi.org/10.2337/dc20-16882 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a for2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Ahuja, Vasudhau Institute for Molecular Medicine Finland (FIMM),University of Helsinki4 aut0 (Swepub:lu)va1063ah
2451 0a Accuracy of 1-Hour Plasma Glucose During the Oral Glucose Tolerance Test in Diagnosis of Type 2 Diabetes in Adults : A Meta-analysis
264 c 2021-03-15
264 1b American Diabetes Association,c 2021
300 a 8 s.
520 a OBJECTIVE: One-hour plasma glucose (1-h PG) during the oral glucose tolerance test (OGTT) is an accurate predictor of type 2 diabetes. We performed a meta-analysis to determine the optimum cutoff of 1-h PG for detection of type 2 diabetes using 2-h PG as the gold standard. RESEARCH DESIGN AND METHODS: We included 15 studies with 35,551 participants from multiple ethnic groups (53.8% Caucasian) and 2,705 newly detected cases of diabetes based on 2-h PG during OGTT. We excluded cases identified only by elevated fasting plasma glucose and/or HbA1c. We determined the optimal 1-h PG threshold and its accuracy at this cutoff for detection of diabetes (2-h PG ≥11.1 mmol/L) using a mixed linear effects regression model with different weights to sensitivity/specificity (2/3, 1/2, and 1/3). RESULTS: Three cutoffs of 1-h PG, at 10.6 mmol/L, 11.6 mmol/L, and 12.5 mmol/L, had sensitivities of 0.95, 0.92, and 0.87 and specificities of 0.86, 0.91, and 0.94 at weights 2/3, 1/2, and 1/3, respectively. The cutoff of 11.6 mmol/L (95% CI 10.6, 12.6) had a sensitivity of 0.92 (0.87, 0.95), specificity of 0.91 (0.88, 0.93), area under the curve 0.939 (95% confidence region for sensitivity at a given specificity: 0.904, 0.946), and a positive predictive value of 45%. CONCLUSIONS: The 1-h PG of ≥11.6 mmol/L during OGTT has a good sensitivity and specificity for detecting type 2 diabetes. Prescreening with a diabetes-specific risk calculator to identify high-risk individuals is suggested to decrease the proportion of false-positive cases. Studies including other ethnic groups and assessing complication risk are warranted.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Endokrinologi och diabetes0 (SwePub)302052 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Endocrinology and Diabetes0 (SwePub)302052 hsv//eng
7001 a Aronen, Pasiu Helsinki University Central Hospital,University of Helsinki4 aut
7001 a Pramodkumar, T. A.u Madras Diabetes Research Foundation4 aut
7001 a Looker, Helenu National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix4 aut
7001 a Chetrit, Angelau Gertner Institute for Epidemiology and Health Policy Research4 aut
7001 a Bloigu, Aini H.u University of Oulu4 aut
7001 a Juutilainen, Auniu University of Eastern Finland4 aut
7001 a Bianchi, Cristinau University Hospital of Pisa4 aut
7001 a La Sala, Luciau IRCCS Multimedica4 aut
7001 a Anjana, Ranjit Mohanu Madras Diabetes Research Foundation4 aut
7001 a Pradeepa, Rajendrau Madras Diabetes Research Foundation4 aut
7001 a Venkatesan, Ulagamadesanu Madras Diabetes Research Foundation4 aut
7001 a Jebarani, Sarvananu Madras Diabetes Research Foundation4 aut
7001 a Baskar, Viswanathanu Madras Diabetes Research Foundation4 aut
7001 a Fiorentino, Teresa Vanessau University Magna Graecia4 aut
7001 a Timpel, Patricku Dresden University of Technology4 aut
7001 a DeFronzo, Ralph A.u University of Texas Health Science Centre4 aut
7001 a Ceriello, Antoniou IRCCS Multimedica4 aut
7001 a Del Prato, Stefanou University Hospital of Pisa4 aut
7001 a Abdul-Ghani, Muhammadu University of Texas Health Science Centre4 aut
7001 a Keinänen-Kiukaanniemi, Sirkkau University of Oulu4 aut
7001 a Dankner, Rachelu Tel-Aviv University,Gertner Institute for Epidemiology and Health Policy Research4 aut
7001 a Bennett, Peter H.u National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix4 aut
7001 a Knowler, William C.u National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix4 aut
7001 a Schwarz, Peteru University Clinic Carl Gustav Carus at the TU Dresden,Dresden University of Technology,German Center for Diabetes Research4 aut
7001 a Sesti, Giorgiou Sapienza University of Rome4 aut
7001 a Oka, Rieu Hokuriku Central Hospital4 aut
7001 a Mohan, Viswanathanu Madras Diabetes Research Foundation4 aut
7001 a Groop, Leifu Lund University,Lunds universitet,Translationell muskelforskning,Forskargrupper vid Lunds universitet,Translational Muscle Research,Lund University Research Groups,Institute for Molecular Medicine Finland (FIMM),University of Helsinki4 aut0 (Swepub:lu)endo-lgr
7001 a Tuomilehto, Jaakkou King Abdulaziz University,University of Helsinki,Finnish National Institute for Health and Welfare4 aut
7001 a Ripatti, Samuliu University of Helsinki,Institute for Molecular Medicine Finland (FIMM),Broad Institute4 aut0 (Swepub:lu)med-sur
7001 a Bergman, Michaelu New York University4 aut
7001 a Tuomi, Tiinamaijau Lund University,Lunds universitet,Diabetiska komplikationer,Forskargrupper vid Lunds universitet,Diabetic Complications,Lund University Research Groups,Helsinki University Central Hospital,Folkhälsan Research Center,University of Helsinki,Institute for Molecular Medicine Finland (FIMM)4 aut0 (Swepub:lu)ti8736tu
7102 a Institute for Molecular Medicine Finland (FIMM)b University of Helsinki4 org
7730 t Diabetes Cared : American Diabetes Associationg 44:4, s. 1062-1069q 44:4<1062-1069x 1935-5548x 0149-5992
8564 u http://dx.doi.org/10.2337/dc20-1688y FULLTEXT
8564 u https://helda.helsinki.fi/bitstream/10138/339867/1/Document.pdf
8564 8u https://lup.lub.lu.se/record/88d43823-4d4c-4e2e-a23d-d854397ab228
8564 8u https://doi.org/10.2337/dc20-1688

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