Prevalence of undiagnosed abnormal glucose tolerance in adult patients cared for by general practitioners in Hungary. Results of a risk-stratified screening based on FINDRISC questionnaire
Open accessAbstract
BACKGROUND: The prevalence of type 2 diabetes mellitus is rapidly increasing, worldwide and also in Hungary. Timely diagnosis and early treatment could be aided by targeted screening. Recognizing this, the Hungarian Diabetes Association initiated a risk-stratified screening with the involvement of primary care physicians. MATERIAL/METHODS: In the first phase of screening, the FINDRISC questionnaire was completed, followed by an oral glucose tolerance test (OGTT) for those with a score of ≥12. Between September 1, 2010 and March 31, 2011, 70,432 non-diabetic adults, who visited their general practitioners for any reason, were involved in the screening. Of these, 68,476 questionnaires proved to be suitable for processing. RESULTS: From the questionnaires, 28,077 (41.0%) had a score of ≥12. A valid OGTT was performed in 22,846 cases; of this group 3,217 subjects (14.1%) had elevated fasting glucose levels, 5,663 (24.8%) had impaired glucose tolerance, and 1,750 (7.6%) had manifest, previously undiagnosed, diabetes mellitus. Overall, from the valid OGTT group, 46.5% subjects had some degree of glucose intolerance. CONCLUSIONS: Based on the FINDRISC questionnaire, the risk-stratified screening for diabetes mellitus proved to be simple and cost-effective method for the early detection of carbohydrate metabolism disorders. Using this method, the prevalence rate of previously undiagnosed abnormal glucose tolerance was high in adult patients cared for by general practitioners in Hungary.
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FINDRISC is the most commonly evaluated diabetes risk score worldwide and has been recommended as the best available risk assessment tool for clinical practice by a systematic review.
“Moreover, FINDRISC is the most commonly evaluated diabetes risk score worldwide [17,18,19,20,21,22,23,24,25] and has been recommended as the best available risk assessment tool for use in the clinical practice by a systematic review [11].”
From A Novel Testing Model for Opportunistic Screening of Pre-Diabetes and Diabetes among U.S. Adults (2015) · cites this paper as [22]
The Methods and Discussion describe this Hungarian FINDRISC evaluation and mention evaluations in other countries. They do not establish that FINDRISC is the most commonly evaluated diabetes risk score worldwide. The systematic-review recommendation is attributed to a different citation, [11], not to this paper. (LLM, conf=0.84)
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Cites
Wild, S., Roglic, G., Green, A., Sicree, R., & King, H. (2004) · Diabetes Care · doi:10.2337/diacare.27.5.1047 · Cited by 15,297 · see citing works
10-year follow-up of intensive glucose control in type 2 diabetes
Holman, R. R., Paul, S. K., Bethel, M. A., Matthews, D. R., & Neil, H. A. W. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0806470 · Cited by 7,751 · see citing works
de Luise, M. (1993) · Medical Journal of Australia · doi:10.1097/00007611-200295010-00001 · Cited by 5,074 · cited 1×
“Considering health-economic aspects, the most effective form of screening is laboratory blood glucose measurement in subjects with increased risk for the disease [6].”
BackgroundAmos, A., Mccarty, D. J., & Zimmet, P. (1997) · Diabetic Medicine · doi:10.1002/(sici)1096-9136(199712)14:5+ · Cited by 2,247 · see citing works
Lindström, J., & Tuomilehto, J. O. (2003) · Diabetes Care · doi:10.2337/diacare.26.3.725 · Cited by 1,889 · see citing works
Dunstan, D., Zimmet, P., Welborn, T., de Courten, M., Cameron, A., Sicree, R., Dwyer, T., Colagiuri, S., Jolley, D., Knuiman, M., et al. (2002) · Diabetes Care · doi:10.2337/diacare.25.5.829 · Cited by 1,018 · cited 1× · see citing works
“According to former observations [22], the rate of subjects positively identified by the screening approximates the rate of subjects already diagnosed with diabetes in the given population.”
BackgroundSkyler, J. S., Bergenstal, R., Bonow, R. O., Buse, J., Deedwania, P., Gale, E. A. M., Howard, B. V., Kirkman, M. S., Kosiborod, M., Reaven, P., et al. (2009) · Diabetes Care · doi:10.2337/dc08-9026 · Cited by 881 · see citing works
International Diabetes Federation: a consensus on Type 2 diabetes prevention
Alberti, K. G. M. M., Zimmet, P., & Shaw, J. (2007) · Diabetic Medicine · doi:10.1111/j.1464-5491.2007.02157.x · Cited by 778 · cited 1× · see citing works
“indicating that simple, practical, non-invasive, and inexpensive methods are needed to identify individuals at high risk for IGT and diabetes and to limit the proportion of the population requiring diagnostic glucose tolerance tests [25].”
MethodA European Evidence-Based Guideline for the Prevention of Type 2 Diabetes
Paulweber, B., Valensi, P. E., Lindström, J., Lalic, N. M., Greaves, C. J., McKee, M., Kissimova‐Skarbek, K., Liatis, S., Cosson, E., Szendroedi, J., et al. (2010) · Hormone and Metabolic Research · doi:10.1055/s-0029-1240928 · Cited by 483 · cited 1× · see citing works
“The European evidence-based guideline for the prevention of type 2 diabetes also stated that the FINDRISC score meets the requirements of being a simple, non-invasive, and inexpensive tool for detecting subjects at high risk for developing type 2 diabetes [26].”
MethodLifestyle Intervention for Prevention of Type 2 Diabetes in Primary Health Care
Saaristo, T., Moilanen, L., Korpi-Hyövälti, E., Vanhala, M., Saltevo, J., Niskanen, L., Jokelainen, J., Peltonen, M., Oksa, H., Tuomilehto, J., et al. (2010) · Diabetes Care · doi:10.2337/dc10-0410 · Cited by 302 · cited 2× · see citing works
“The Finnish Programme was designed to involve 200,000 subjects; however, the number of subjects actually examined in the programme has not been reported [16,17].”
BackgroundThe burden of type 2 diabetes: are we doing enough?
Zimmet, P. (2003) · Diabetes & Metabolism · doi:10.1016/s1262-3636(03)72783-9 · Cited by 262 · see citing works
Tools for Predicting the Risk of Type 2 Diabetes in Daily Practice
Schwarz, P., Li, J., Lindstrom, J., & Tuomilehto, J. (2009) · Hormone and Metabolic Research · doi:10.1055/s-0028-1087203 · Cited by 213 · cited 1× · see citing works
“Taken together, the 2-step screening method (following the completion of the questionnaire, blood glucose determination is carried out only for those at high risk) is recommended [24].”
MethodMakrilakis, K., Liatis, S., Grammatikou, S., Perrea, D., Stathi, C., Tsiligros, P., & Katsilambros, N. (2011) · Diabetes & Metabolism · doi:10.1016/j.diabet.2010.09.006 · Cited by 199 · cited 3× · see citing works
“2% of the subjects had impaired carbohydrate metabolism [14].”
BackgroundMethodBartnik, M., Rydén, L., Malmberg, K., Öhrvik, J., Pyörälà, K., Standl, E., Ferrari, R., Simoons, M. L., & Soler‐Soler, J. (2006) · Heart · doi:10.1136/hrt.2005.086975 · Cited by 139 · see citing works
Bergmann, A., Li, J., Wang, L., Schulze, J., Bornstein, S., & Schwarz, P. (2007) · Hormone and Metabolic Research · doi:10.1055/s-2007-985353 · Cited by 112 · cited 2× · see citing works
“In other studies using the questionnaire, modified or shortened versions were used [19, 20], risk was determined using receiver operating characteristic (ROC) curves [15], and others performed the OGTT only in subjects with a score of ≥15 [14].”
BackgroundMethodSchwarz, P. E. H., Li, J., Reimann, M., Schutte, A. E., Bergmann, A., Hanefeld, M., Bornstein, S. R., Schulze, J., Tuomilehto, J. O., & Lindström, J. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-2427 · Cited by 109 · see citing works
Tankova, T., Chakarova, N., Atanassova, I., & Dakovska, L. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2010.12.020 · Cited by 101 · cited 3× · see citing works
“In other studies using the questionnaire, modified or shortened versions were used [19, 20], risk was determined using receiver operating characteristic (ROC) curves [15], and others performed the OGTT only in subjects with a score of ≥15 [14].”
BackgroundMethodAlssema, M., Vistisen, D., Heymans, M. W., Nijpels, G., Glümer, C., Zimmet, P., Shaw, J. E., Eliasson, M., Stehouwer, C. D. A., Tabák, Á. G., et al. (2010) · Diabetologia · doi:10.1007/s00125-010-1990-7 · Cited by 73 · cited 2× · see citing works
“In other studies using the questionnaire, modified or shortened versions were used [19, 20], risk was determined using receiver operating characteristic (ROC) curves [15], and others performed the OGTT only in subjects with a score of ≥15 [14].”
BackgroundMethodWang, J.-J., Stančáková, A., Kuusisto, J., & Laakso, M. (2010) · Journal of Clinical Endocrinology and Metabolism · doi:10.1210/jc.2010-0012 · Cited by 57 · cited 1× · see citing works
“The report summarizing the study mentioned 158,183 subjects that had been informed about the screening [16], but in the papers describing the results of the programme (analyzing the screening from different aspects) analyses of much smaller samples can be found [18,19].”
BackgroundJermendy, G., Nádas, J., Szigethy, E., Széles, G., Nagy, A., Hídvégi, T., Paragh, G., & Ádány, R. (2010) · Croatian Medical Journal · doi:10.3325/cmj.2010.51.151 · Cited by 48 · cited 1× · see citing works
“49%; the diagnosis was based on the fasting blood glucose values only [10].”
BackgroundSelf-citationLi, J., Bergmann, A., Reimann, M., Bornstein, S., & Schwarz, P. (2008) · Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · doi:10.1055/s-0028-1087191 · Cited by 46 · cited 1× · see citing works
“In the German [20,21], Bulgarian [15], and Greek [14] studies conducted using the original or modified versions of the questionnaire the case number ranges from 1000 to 11,000.”
BackgroundPrevalence of diabetes in a large, nationally representative population sample in Hungary.
Vamos, E., Kopp, M., Keszei, A., Novak, M., & Mucsi, I. (2008) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2008.04.022 · Cited by 30 · cited 1× · see citing works
“2% but this survey was based on self-reported medical history without any blood glucose measurements [9].”
BackgroundDynamic changes in the trends in incidence of type 1 diabetes in children in Hungary (1978–98)
Gyürüs, É., Green, A., Patterson, C., & Soltész, G. (2002) · Pediatric Diabetes · doi:10.1034/j.1399-5448.2002.30405.x · Cited by 18 · cited 7× · see citing works
“Received: 2012.04.22 Accepted: 2012.08.02 Published: 2013.01.24 2408 4 1 26 Prevalence of undiagnosed abnormal glucose tolerance in adult patients cared for by general practitioners in Hungary.”
BackgroundInfluential
Flagged first, then by citations
5 of the 28 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [17]The Diabetes Prevention Program Research Group Strategies to identify adults at high risk for Type 2 diabetes Diabetes Care 2005 28 150 56 PMC1314971 15616247
Cited by
Sorted by citations
Zhang, L., Zhang, Z., Zhang, Y., Hu, G., & Chen, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0097865 · Cited by 130 · see citing works
“However, most previous studies have been conducted in European countries with the majority of participants as Caucasians [26–32] or other single racial groups [24,33–39].”
BackgroundResultMasconi, K. L., Matsha, T. E., Echouffo-Tcheugui, J. B., Erasmus, R. T., & Kengne, A. P. (2015) · The EPMA Journal · doi:10.1186/s13167-015-0028-0 · Cited by 52 · see citing works
“[38] 2010 Validate Vietnam (L/M) / Current 721 30–70 X X”
BackgroundJølle, A., Midthjell, K., Holmen, J., Carlsen, S. M., Tuomilehto, J. O., Bjørngaard, J. H., & Åsvold, B. O. (2019) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-000769 · Cited by 47 · see citing works
A Novel Testing Model for Opportunistic Screening of Pre-Diabetes and Diabetes among U.S. Adults
Zhang, Y., Hu, G., Zhang, L., Mayo, R., & Chen, L. (2015) · PLOS ONE · doi:10.1371/journal.pone.0120382 · Cited by 41 · see citing works
“Moreover, FINDRISC is the most commonly evaluated diabetes risk score worldwide [17,18,19,20,21,22,23,24,25] and has been recommended as the best available risk assessment tool for use in the clinical practice by a systematic review [11].”
BackgroundMethodMeijnikman, A. S., Block, C. D. D., Verrijken, A., Mertens, I., Corthouts, B., & van Gaal, L. (2016) · Journal of diabetes and its complications · doi:10.1016/j.jdiacomp.2016.05.004 · Cited by 34 · see citing works
Impact of sex and age on the performance of FINDRISC: the HUNT Study in Norway
Jølle, A., Midthjell, K., Holmen, J., Tuomilehto, J., Carlsen, S. M., Shaw, J. E., & Åsvold, B. O. (2016) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2016-000217 · Cited by 29 · see citing works
“Diastolic blood pressure (mm Hg) 71 (11) 71 (11) 74 (11) 76 (11) 76 (11) 80 (11)”
Silvestre, M. P., Jiang, Y., Volkova, K., Chisholm, H., Lee, W., & Poppitt, S. D. (2017) · Primary care diabetes · doi:10.1016/j.pcd.2017.07.003 · Cited by 27 · see citing works
Prevalence and risk factors for diabetic retinopathy in a high-risk Chinese population
Wang, J., Zhang, R., Chen, R., Sun, J. M., Yang, R., Ke, X.-Y., Chen, H., & Cai, D.-H. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-633 · Cited by 34 · see citing works
“It has been used in different countries for identification of diabetic high-risk individuals [10-21].”
BackgroundŠtiglic, G., Kocbek, P., Cilar, L., Fijačko, N., Stožer, A., Zaletel, J., Sheikh, A., & Bržan, P. P. (2018) · Diabetic Medicine · doi:10.1111/dme.13605 · Cited by 25 · see citing works
Morales, J., Matta, H., Fuentes-Rivera, J., Pérez, R., Suárez, C., Alvines, D., & Carcausto, W. (2017) · Educación Médica · doi:10.1016/j.edumed.2017.08.003 · Cited by 24 · see citing works
Awad, A. I., & Alsaleh, F. (2015) · PLoS ONE · doi:10.1371/journal.pone.0116742 · Cited by 24 · see citing works
Domján, B., Ferencz, V., Tänczer, T., Szili-Janicsek, Z., Barkai, L., Hídvégi, T., Jermendy, G., Kempler, P., Winkler, G., Geŕó, L., et al. (2017) · Primary Care Diabetes · doi:10.1016/j.pcd.2016.09.001 · Cited by 23 · see citing works
Self-citationJermendy, G., Kempler, P., Abonyi‐Tóth, Z., Rokszin, G., & Wittmann, I. (2016) · Orvosi Hetilap · doi:10.1556/650.2016.30519 · Cited by 21 · see citing works
Self-citationMilovanovic, S., Silenzi, A., Kheiraoui, F., Ventriglia, G., Boccia, S., & Poscia, A. (2018) · European Journal of Public Health · doi:10.1093/eurpub/cky009 · Cited by 19 · see citing works
Kiss, L. Z., Bagyura, Z., Vadas, R., Polgár, L., Lux, Á., Édes, E., Szenczi, O., Soós, P., Szelid, Z., Becker, D. J., et al. (2017) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2017.05.007 · Cited by 20 · see citing works
Self-citationJermendy, G., Kiss, Z., Rokszin, G., Abonyi‐Tóth, Z., Wittmann, I., & Kempler, P. (2019) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2019.107788 · Cited by 21 · see citing works
Self-citationDetection of people at risk of diabetes in community pharmacies of Pontevedra (Spain) (DEDIPO).
Fornos-Pérez, J., Andrés-Rodríguez, N. F., Andrés-Iglesias, J., Luna-Cano, R., García-Soidán, J., Lorenzo-Veiga, B., Mera-Gallego, R., & García-Riestra, R. (2016) · Endocrinologia y Nutricion · doi:10.1016/j.endonu.2016.06.002 · Cited by 16 · see citing works
“Riesgo [m (DE)] 11,0 (5,0) 11,1 (5,0) 11,0 (5,0) 0,4636 Muy alto 72 (2,6) (1,7) 39 (2,7) (0,9) 111 (2,6) 0,4965 Alto 557 (20,1) (13,2) 324 (22,2) (7,7) 881 (20,9) Moderado 627 (22,7) (14,9) 307 (21,1) (7,3) 934 (22,1) Ligeramente elevado 814 (29,3) (19,3) 417 (28,6) (9,9) 1.”
InfluentialScreening for people with abnormal glucose metabolism in the European DE-PLAN project
Cos, X., Barengo, N. C., Costa, B., Mundet, X., Lindström, J., & Tuomilehto, J. O. (2015) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2015.04.016 · Cited by 19 · see citing works
“[21] Winkler G, Hı́dvégi T, Vándorfi G, Balogh S, Jermendy G.”
Conceição, A. L. O., Côrrea, N. D. C., Ferreira, P. R., Rêgo, A., Silva, F. B., de Carvalho, S. A. T. D., Dias, R. D. S., Paz, B. K. B., Rocha, V. C. D. C., & Bassi-Dibai, D. (2020) · Sao Paulo medical journal = Revista paulista de medicina · doi:10.1590/1516-3180.2019.0524.05032020 · Cited by 14 · see citing works
Elshebiny, A., Alrashed, A., Albuwaydi, Z., Aljassim, S., Alhammad, F., & Alhajji, R. (2022) · Cureus · doi:10.7759/cureus.32034 · Cited by 8 · see citing works
“Age may have been a significant factor in terms of the increase in FINDRISC in the mentioned studies [5,11,18].”
Bruno, A., Pereira, L., & Almeida, H. D. S. (2014) · doi:10.12957/demetra.2014.10659 · Cited by 7
Siregar, F., Asfriyati, Makmur, T., Bestari, R., Lubis, I. A., & Zein, U. (2023) · Medical archives · doi:10.5455/medarh.2023.77.455-459 · Cited by 7
Factors associated with the development of diabetes mellitus in older caregivers.
Ottaviani, A. C., Rossetti, E. S., Terassi, M., Brigola, A. G., Luchesi, B., Souza, É., de Oliveira, N. A., Inouye, K., Pavarini, S., & Orlandi, F. D. S. (2019) · Revista Brasileira de Enfermagem · doi:10.1590/0034-7167-2017-0590 · Cited by 6
“A study conducted in Hungary(27) reported mean values of 10.”
BackgroundInfluentialKatoh, S., Peltonen, M., Zeniya, M., Kaji, M., Sakamoto, Y., Utsunomiya, K., & Tuomilehto, J. (2016) · Primary Care Diabetes · doi:10.1016/j.pcd.2015.07.006 · Cited by 4 · see citing works
Detection of people at risk of diabetes in community pharmacies of Pontevedra (Spain) (DEDIPO).
Fornos-Pérez, J., Andrés-Rodríguez, N. F., Andrés-Iglesias, J., Luna-Cano, R., García-Soidán, J., Lorenzo-Veiga, B., Mera-Gallego, R., & García-Riestra, R. (2016) · Endocrinología y Nutrición (English Edition) · doi:10.1016/j.endoen.2016.10.002 · Cited by 3 · see citing works
“Controversy exists regarding the best cut-off point both in Spain(14,16,21) and other countries.(22) In 2010, Costa(16) compared three methods based on a Findrisc test score >14 and confirmation with an oral glucose tolerance test, HbA1c, and basal blood glucose in a sample of subjects aged 45--75 years, and found pre…”
MethodGrujić-Vujmilović, D., Veljković, K., Gavrić, Ž., & Popović-Pejičić, S. (2024) · Libyan Journal of Medicine · doi:10.1080/19932820.2024.2437226 · Cited by 2 · see citing works
Bukhari, H. (2023) · Current Research in Nutrition and Food Science Journal · doi:10.12944/crnfsj.11.2.19 · Cited by 2 · see citing works
“In comparison to other findings of studies using the same non-invasive questionnaire and score system approach as the current study, Winkler et al. 2 in an extensive study of more than 40,000 subjects who appear normal (prediabetic and might have insulin resistance) insulin resistance found in 41% of the participants.”
ResultInfluentialGalvács, H., Szabó, J., & Balogh, Z. (2019) · Orvosi Hetilap · doi:10.1556/650.2019.31573 · Cited by 2
The effectiveness of an mHealth intervention on diabetes risk factors and body composition.
Simkó, G., & Uvacsek, M. (2023) · Physiology International · doi:10.1556/2060.2023.00209 · Cited by 1 · see citing works
Galvács, H., Szabó, J., & Balogh, Z. (2021) · Primary Health Care Research and Development · doi:10.1017/s1463423621000037 · Cited by 1
Holm, T. F., Kronborg, T., Jensen, M. H., & Hangaard, S. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251376380
Stavrova, V., Crcarevska, M. S., Naumovska, Z., Bozhinovska, B., Andonoska, J., Stavric, K., Maksimova, V., Meštrović, A., & Rouse, M. J. (2025) · Healthcare · doi:10.3390/healthcare13172107
“This finding is aligned with expectations from the literature [45,46].”
RIESGO DE DIABETES EN ANCIANOS QUE RESIDEN EN UNA ZONA VULNERABLE DE LIMA NORTE
Artezano, A. R. (2020) · Ágora Revista Científica · doi:10.21679/arc.v7i1.140
Winkler, G., Kis, J., Vörös, P., Kiss, K. A., Tóth, A., Kazinczy, R., & Schandl, L. (2024) · Diabetologia Hungarica · doi:10.24121/dh.2024.4
Self-citationPopržen, D. J., Tomić, S., Tomas, D., Kusturica, M. P., Sabo, J., & Horvat, J. (2018) · doi:10.5937/hpimj1803687p
- Authors
- Winkler, G., Hídvégi, T., Vándorfi, G., Balogh, S., & Jermendy, G.
- Affiliations
- University of Miskolc (HU)
- Petz Aladár Megyei Oktató Kórház (HU)
- Centre for Medicine, Diabetology and Metabolism, Veszprém County Csolnoky Hospital, Veszprém, Hungary
- National Institute for Primary Health Care, Budapest, Hungary
- Bajcsy-Zsilinszky Kórház és Rendelőintézet (HU)
- Corresponding author
- Jermendy, György
- ORCID
- Jermendy, György
- Venue
- Medical Science Monitor
- Published
- 2013
- Volume
- 19
- Pages
- 67-72
- ISSN
- 1234-1010 (ISSN-L)
- 1643-3750
- PMC
- PMC3629009
- OpenAlex
- W2069299460
- Cited by
- 36
- References
- 28
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 3 · 2022: 2 · 2021: 1 · 2020: 1 · 2019: 4 · 2018: 3 · 2017: 3 · 2016: 6 · 2015: 5 · 2014: 4 · 2013: 1
- FWCI
- 4.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Medical Science Monitor (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Magyar Diabetes Társaság
- European Association for the Study of Diabetes
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- type 2 diabetes, impaired glucose tolerance, undiagnosed diabetes, FINDRISC questionnaire, risk-stratified screening, oral glucose tolerance test, fasting blood glucose, prevalence, primary care, early detection, Hungary
- MeSH terms
- Adult, Blood Glucose, Female, Patient Care, Glucose Tolerance Test, Humans, Hungary, Male, Mass Screening, Surveys and Questionnaires, Risk Factors, Prevalence, Glucose Intolerance, General Practitioners
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