Bibliometric Analysis of the Utilisation of FINDRISC in Patients with Diabetes: 2005-2021
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Submitted
12 February 2022
Published
31 August 2022
Keywords:
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FINDRISC, Bibliometrics, Diabetes, Review, Risk Factors, Screening
Abstract
Research on risk factors for diabetes (DM) is growing. Identification of these risk factors aims to prevent DM as early as possible. This study intends to identify the utilization of the Finnish diabetes risk score (FINDRISC) and its development using bibliometric analysis. The keywords “FINDRISC AND Diabetes” were used to search for articles published in 2005-2021 in PubMed. A total of 249 articles were analyzed based on the number of publications per year, journals that publish the papers, number of publications by author and year of publication, number of publications by affiliation and year of publication, number of publications by country of origin of authors and year of publication, number of keywords, number of citations, types of articles, specific topics, and theme mapping. The data visualization was obtained from the Scopus database and the VOSviewer and Biblioshiny applications. Despite the increase in publications, the number of publications on FINDRISC in DM patients is still very few per year, with 92.8% being the primary study. Based on clusters of the country of origin, publications are still dominated by researchers from countries in the European region, and the researchers intensely relate to each other through citations. Research themes related to FINDRISC are not limited to DM risk factors. This study is the first study of a bibliometric analysis of the utilization of FINRISC in DM patients. The analysis results can be used to evaluate existing research gaps and identify future research opportunities.
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References
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10. Lim HM, Chia YC, Koay ZL. Performance of the Finnish Diabetes Risk Score (FINDRISC) and Modified Asian FINDRISC (ModAsian FINDRISC) for screening of undiagnosed type 2 diabetes mellitus and dysglycaemia in primary care. Prim Care Diabetes. 2020;14(5):494-500. doi:10.1016/j.pcd.2020.02.008
11. Zhang M, Zhang H, Wang C, Ren Y, Wang B, Zhang L, et al. Development and validation of a risk-score model for type 2 diabetes: a cohort study of a rural adult Chinese population. PLoS One. 2016;11(4):e0152054. doi:10.1371/journal.pone.0152054
12. Dugee O, Janchiv O, Jousilahti P, Sakhiya A, Palam E, Nourti JP, et al. Adapting existing diabetes risk scores for an Asian population: A risk score for detecting undiagnosed diabetes in the Mongolian population. BMC Public Health. 2015;15:938. doi:10.1186/s12889-015-2298-9
13. Bernabe-Ortiz A, Perel P, Miranda JJ, Smeeth L. Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for undiagnosed T2DM in Peruvian population. Prim Care Diabetes. 2018;12(6):517-25. doi:10.1016/j.pcd.2018.07.015
14. Bergmann A, Li J, Wang L, Schulze J, Bornstein SR, Schwarz PEH. A simplified Finnish Diabetes Risk Score to predict type 2 diabetes risk and disease evolution in a German population. Horm Metab Res. 2007;39(9):677-82. doi:10.1055/s-2007-985353
15. Saaristo T, Moilanen L, Korpi-Hyövälti E, Vanhala M, Saltevo J, Niskanen L, et al. Lifestyle intervention for prevention of type 2 diabetes in primary health care. Diabetes Care. 2010;33(10):2146-51. doi:10.2337/dc10-0410
16. Mavrogianni C, Lambrinou CP, Androutsos O, Lindström J, Kivelä J, Cardon G, et al. Evaluation of the Finnish Diabetes Risk Score as a screening tool for undiagnosed type 2 diabetes and dysglycaemia among early middle-aged adults in a large-scale European cohort: The Feel4Diabetes study. Diabetes Res Clin Pract. 2019;150:99-110. doi:10.1016/j.diabres.2019.02.017
17. Salinero-Fort MA, Burgos-Lunar C, Lahoz C, Mostaza JM, Abánades-Herranz JC, Laguna-Cuesta F, et al. Performance of the Finnish Diabetes Risk Score and a simplified Finnish Diabetes Risk Score in a community-based, cross-sectional programme for screening of undiagnosed type 2 diabetes mellitus and dysglycaemia in madrid, Spain: the SPREDIA-2 study. PLoS One. 2016;11(7):e0158489. doi:10.1371/journal.pone.0158489
18. Janghorbani M, Adineh H, Amini M. Evaluation of the Finnish Diabetes Risk Score (FINDRISC) as a screening tool for the metabolic syndrome. Rev Diabet Stud. 2013;10(4):283-92. doi:10.1900/RDS.2013.10.283
19. Väätäinen S, Cederberg H, Roine R, Keinänen-Kiukaanniemi S, Saramies J, Uusitalo H, et al. Does future diabetes risk impair current quality of life? a cross-sectional study of health-related quality of life in relation to the Finnish diabetes risk score (FINDRISC). PLoS One. 2016;11(2):e0147898. doi:10.1371/journal.pone.0147898
20. Nieto-Martínez R, González-Rivas JP, Aschner P, Barengo NC, Mechanick JI. Transculturalizing diabetes Prevention in Latin America. Ann Glob Heal. 2017;83(3-4):432-43. doi:10.1016/j.aogh.2017.07.001
21. Toumillehto J, Lindström J, Eriksson JG, Valle TT, Uusitupa M. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2013;344(18):1343-50. doi:10.1056/nejm200105033441801
22. Rokhman MR, Arifin B, Zulkarnain, Satibi, Perwitasari DA, Boersma C, et al. Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population. PLoS One. 2022;17(7):e0269853. doi:10.1371/journal.pone.0269853
23. Ma RCW, Chan JCN. Type 2 diabetes in East Asians: similarities and differences with populations in Europe and the United States. Ann N Y Acad Sci. 2013;1281(1):64-91. doi:10.1111/nyas.12098
24. Jølle A, Midthjell K, Holmen J, Carlsen SM, Tuomilehto J, Bjørngaard JH, et al. Validity of the FINDRISC as a prediction tool for diabetes in a contemporary Norwegian population: a 10-year follow-up of the HUNT study. BMJ Open Diabetes Res Care. 2019;7(1):e000769. doi:10.1136/bmjdrc-2019-000769
25. Fauzi NFM, Wafa SW, Ibrahim AM, Raj NB, Nurulhuda MH. Translation and Validation of American Diabetes Association Diabetes Risk Test: The Malay Version. Malays J Med Sci. 2022;29(1):113-25. doi:10.21315/mjms2022.29.1.11
26. Noyes K, Holloway RG. Evidence from cost-effectiveness research. NeuroRx. 2004;1(3):348-55. doi:10.1602/neurorx.1.3.348
27. Putera PB, Suryanto, Ningrum S, Widianingsih I. A bibliometric analysis of articles on innovation systems in Scopus journals written by authors from Indonesia, Singapore, and Malaysia. Sci Ed. 2020;7(2):177-83. doi:10.6087/kcse.214
2. International Diabetes Federation. IDF Diabetes Atlas. 9th ed. Brussels (Belgium): International Diabetes Federation; 2019.
3. Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9 th edition. Diabetes Res Clin Pract. 2019;157:107843. doi:10.1016/j.diabres.2019.107843
4. Andes LJ, Cheng YJ, Rolka DB, Gregg E, Imperatore G. Prevalence of prediabetes among adolescents and young adults in the United States, 2005-2016. JAMA Pediatr. 2020;174(2):e194498. doi:10.1001/jamapediatrics.2019.4498
5. Hostalek U. Global epidemiology of prediabetes - present and future perspectives. Clin Diabetes Endocrinol. 2019;5:5. doi:10.1186/s40842-019-0080-0
6. Valensi P, Schwarz EH, Hall M, Felton AM, Maldonato A, Mathieu C. Pre-diabetes essential action: a European perspective. Diabetes Metab. 2005;31(6):606-20. doi:10.1016/S1262-3636(07)70239-2
7. Uusitupa M, Khan T, Viguiliouk E, Kahleova H. Prevention of Type 2 Diabetes by Lifestyle Changes : a systematic review and meta-analysis. Nutrients. 2019;11(11):2611. doi:10.3390/nu11112611
8. Arslanian S, Bacha F, Grey M, Marcus MD, White NH, Zeitler P. Evaluation and Management of Youth-Onset Type 2 Diabetes: A Position Statement by the American Diabetes Association. Diabetes Care. 2018;41(12):2648-68. doi:10.2337/dci18-0052
9. Lindström J, Tuomilehto J. The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care. 2003;26(3):725-31. doi:10.2337/diacare.26.3.725
10. Lim HM, Chia YC, Koay ZL. Performance of the Finnish Diabetes Risk Score (FINDRISC) and Modified Asian FINDRISC (ModAsian FINDRISC) for screening of undiagnosed type 2 diabetes mellitus and dysglycaemia in primary care. Prim Care Diabetes. 2020;14(5):494-500. doi:10.1016/j.pcd.2020.02.008
11. Zhang M, Zhang H, Wang C, Ren Y, Wang B, Zhang L, et al. Development and validation of a risk-score model for type 2 diabetes: a cohort study of a rural adult Chinese population. PLoS One. 2016;11(4):e0152054. doi:10.1371/journal.pone.0152054
12. Dugee O, Janchiv O, Jousilahti P, Sakhiya A, Palam E, Nourti JP, et al. Adapting existing diabetes risk scores for an Asian population: A risk score for detecting undiagnosed diabetes in the Mongolian population. BMC Public Health. 2015;15:938. doi:10.1186/s12889-015-2298-9
13. Bernabe-Ortiz A, Perel P, Miranda JJ, Smeeth L. Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for undiagnosed T2DM in Peruvian population. Prim Care Diabetes. 2018;12(6):517-25. doi:10.1016/j.pcd.2018.07.015
14. Bergmann A, Li J, Wang L, Schulze J, Bornstein SR, Schwarz PEH. A simplified Finnish Diabetes Risk Score to predict type 2 diabetes risk and disease evolution in a German population. Horm Metab Res. 2007;39(9):677-82. doi:10.1055/s-2007-985353
15. Saaristo T, Moilanen L, Korpi-Hyövälti E, Vanhala M, Saltevo J, Niskanen L, et al. Lifestyle intervention for prevention of type 2 diabetes in primary health care. Diabetes Care. 2010;33(10):2146-51. doi:10.2337/dc10-0410
16. Mavrogianni C, Lambrinou CP, Androutsos O, Lindström J, Kivelä J, Cardon G, et al. Evaluation of the Finnish Diabetes Risk Score as a screening tool for undiagnosed type 2 diabetes and dysglycaemia among early middle-aged adults in a large-scale European cohort: The Feel4Diabetes study. Diabetes Res Clin Pract. 2019;150:99-110. doi:10.1016/j.diabres.2019.02.017
17. Salinero-Fort MA, Burgos-Lunar C, Lahoz C, Mostaza JM, Abánades-Herranz JC, Laguna-Cuesta F, et al. Performance of the Finnish Diabetes Risk Score and a simplified Finnish Diabetes Risk Score in a community-based, cross-sectional programme for screening of undiagnosed type 2 diabetes mellitus and dysglycaemia in madrid, Spain: the SPREDIA-2 study. PLoS One. 2016;11(7):e0158489. doi:10.1371/journal.pone.0158489
18. Janghorbani M, Adineh H, Amini M. Evaluation of the Finnish Diabetes Risk Score (FINDRISC) as a screening tool for the metabolic syndrome. Rev Diabet Stud. 2013;10(4):283-92. doi:10.1900/RDS.2013.10.283
19. Väätäinen S, Cederberg H, Roine R, Keinänen-Kiukaanniemi S, Saramies J, Uusitalo H, et al. Does future diabetes risk impair current quality of life? a cross-sectional study of health-related quality of life in relation to the Finnish diabetes risk score (FINDRISC). PLoS One. 2016;11(2):e0147898. doi:10.1371/journal.pone.0147898
20. Nieto-Martínez R, González-Rivas JP, Aschner P, Barengo NC, Mechanick JI. Transculturalizing diabetes Prevention in Latin America. Ann Glob Heal. 2017;83(3-4):432-43. doi:10.1016/j.aogh.2017.07.001
21. Toumillehto J, Lindström J, Eriksson JG, Valle TT, Uusitupa M. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med. 2013;344(18):1343-50. doi:10.1056/nejm200105033441801
22. Rokhman MR, Arifin B, Zulkarnain, Satibi, Perwitasari DA, Boersma C, et al. Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population. PLoS One. 2022;17(7):e0269853. doi:10.1371/journal.pone.0269853
23. Ma RCW, Chan JCN. Type 2 diabetes in East Asians: similarities and differences with populations in Europe and the United States. Ann N Y Acad Sci. 2013;1281(1):64-91. doi:10.1111/nyas.12098
24. Jølle A, Midthjell K, Holmen J, Carlsen SM, Tuomilehto J, Bjørngaard JH, et al. Validity of the FINDRISC as a prediction tool for diabetes in a contemporary Norwegian population: a 10-year follow-up of the HUNT study. BMJ Open Diabetes Res Care. 2019;7(1):e000769. doi:10.1136/bmjdrc-2019-000769
25. Fauzi NFM, Wafa SW, Ibrahim AM, Raj NB, Nurulhuda MH. Translation and Validation of American Diabetes Association Diabetes Risk Test: The Malay Version. Malays J Med Sci. 2022;29(1):113-25. doi:10.21315/mjms2022.29.1.11
26. Noyes K, Holloway RG. Evidence from cost-effectiveness research. NeuroRx. 2004;1(3):348-55. doi:10.1602/neurorx.1.3.348
27. Putera PB, Suryanto, Ningrum S, Widianingsih I. A bibliometric analysis of articles on innovation systems in Scopus journals written by authors from Indonesia, Singapore, and Malaysia. Sci Ed. 2020;7(2):177-83. doi:10.6087/kcse.214
Authors
1.
Rokhman MR, Arifin B, Zulkarnain Z, Rauf S, Perwitasari DA. Bibliometric Analysis of the Utilisation of FINDRISC in Patients with Diabetes: 2005-2021. Borneo J Pharm [Internet]. 2022Aug.31 [cited 2024Apr.23];5(3):288-9. Available from: https://journal.umpr.ac.id/index.php/bjop/article/view/3267
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