Glycated haemoglobin A1c as a risk factor of cardiovascular outcomes and all-cause mortality in diabetic and non-diabetic populations: a systematic review and meta-analysis
Open accessAbstract
OBJECTIVE: To examine the relationship between glycated haemoglobin A1c (HbA1c) levels and the risk of cardiovascular outcomes and all-cause mortality based on data from observational studies and to determine the optimal levels of HbA1c for preventing cardiovascular events and/or mortality in diabetic and non-diabetic populations. REVIEW METHODS: We systematically searched Medline, Embase, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews and Web of Science databases, from inception to July 2016, for observational studies addressing the association of HbA1c levels with mortality and cardiovascular outcomes. Random effects models were used to compute pooled estimates of HR and respective 95% CI for all-cause mortality, cardiovascular mortality and risk of cardiovascular events, separately for people with and without diabetes. RESULTS: Seventy-four published studies were included in the systematic review, but only 46 studies could be incorporated in the meta-analysis. In both diabetic and non-diabetic populations, there was an increase in the risk of all-cause mortality when HbA1c levels were over 8.0% and 6.0%, respectively. The highest all-cause mortality in people with diabetes was HbA1c above 9.0% (HR=1.69; 95% CI 1.09 to 2.66) and in those without diabetes was HbA1c above 6.0% (HR=1.74; 95% CI 1.38 to 2.20). However, both diabetic and non-diabetic populations with lower HbA1c levels (below 6.0% HR=1.57; 95% CI 1.14 to 2.17 and below 5.0% HR=1.19; 95% CI 1.04 to 1.36, respectively) had higher all-cause mortality. Similar pooled estimates were found when cardiovascular mortality was the outcome variable. CONCLUSION: HbA1c is a reliable risk factor of all-cause and cardiovascular mortality in both diabetics and non-diabetics. Our findings establish optimal HbA1c levels, for the lowest all-cause and cardiovascular mortality, ranging from 6.0% to 8.0% in people with diabetes and from 5.0% to 6.0% in those without diabetes.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A1C has lower sensitivity than fasting plasma glucose or 2-hour oral glucose tolerance test for diagnosing diabetes.
“analyses of the fidelity of DM diagnosis using A1C have reported a lower sensitivity than FPG or 2-hour OGTT.4,5,7-10”
From American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. (2022) · cites this paper as [7]
The Introduction discusses HbA1c as a diagnostic criterion, and the Discussion describes changes to fasting-plasma-glucose and HbA1c thresholds. Neither passage compares their diagnostic sensitivity. Searches for lower sensitivity and OGTT found no passage addressing the claimed comparison with fasting plasma glucose or a 2-hour oral glucose tolerance test. (LLM, conf=0.76)
Experimental — accuracy not yet measuredA meta-analysis of 46 observational studies reported that patients with diabetes with HbA1c ranging from 6.0% to 8.0% had the lowest all-cause and cardiovascular mortality.
“A meta-analysis of 46 observational studies reported that patients with diabetes with HbA1c ranging from 6.0% to 8.0% had the lowest all-cause and CVD mortality (27).”
From Time in Range in Relation to All-Cause and Cardiovascular Mortality in Patients With Type 2 Diabetes: A Prospective Cohort Study (2021) · cites this paper as [27]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823 · see citing works
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859 · see citing works
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763 · see citing works
Dermyshi, E., Wang, Y., Yan, C., Hong, W., Qiu, G., Gong, X., & Zhang, T. (2017) · Neonatology · doi:10.1159/000454668 · Cited by 24,577 · see citing works
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040296 · Cited by 23,020 · see citing works
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623 · see citing works
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.06.005 · Cited by 19,575 · see citing works
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
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s5 · Cited by 10,320 · see citing works
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068 · see citing works
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220 · see citing works
Classification and diagnosis of diabetes mellitus and other categories of glucose intolerance.
National Diabetes Data Group (1979) · Diabetes · doi:10.2337/diab.28.12.1039 · Cited by 4,909 · see citing works
Follow-up report on the diagnosis of diabetes mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2003) · Diabetes Care · doi:10.2337/diacare.26.11.3160 · Cited by 3,784 · see citing works
Assessing Bias in Studies of Prognostic Factors
Hayden, J. A., van der Windt, D. A., Cartwright, J. L., Côté, P., & Bombardier, C. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-158-4-201302190-00009 · Cited by 3,287 · see citing works
International Expert Committee report on the role of the A1c assay in the diagnosis of diabetes
The International Expert Committee (2009) · Diabetes Care · doi:10.2337/dc09-9033 · Cited by 3,185 · see citing works
Global Burden of Cardiovascular Diseases
Yusuf, S., Reddy, S., Ôunpuu, S., & Anand, S. S. (2001) · Circulation · doi:10.1161/hc4601.099487 · Cited by 2,979 · see citing works
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2007) · Preventive Medicine · doi:10.1016/j.ypmed.2007.08.012 · Cited by 2,698 · see citing works
Global atlas on cardiovascular disease prevention and control.
Mendis, S., Puska, P., & Norrving, B. G. (2011) · Virtual Defense Library (Ministerio de Defensa) · Cited by 2,691 · see citing works
Random-effects model for meta-analysis of clinical trials: An update
DerSimonian, R., & Kacker, R. (2007) · Contemporary Clinical Trials · doi:10.1016/j.cct.2006.04.004 · Cited by 2,374 · see citing works
Classification and Diagnosis of Diabetes
Fajans, S. S. (1990) · Medical Entomology and Zoology · Cited by 2,356 · see citing works
Dichotomizing continuous predictors in multiple regression: a bad idea
Royston, P., Altman, D. G., & Sauerbrei, W. (2006) · Statistics in Medicine · doi:10.1002/sim.2331 · Cited by 2,312 · see citing works
De Backer, G. (2003) · European Heart Journal · doi:10.1016/s0195-668x(03)00347-6 · Cited by 2,251 · see citing works
Investigating and dealing with publication and other biases in meta-analysis
Sterne, J. A. C., Egger, M., & Smith, G. D. (2001) · BMJ · doi:10.1136/bmj.323.7304.101 · Cited by 2,225 · see citing works
2010 ACCF/AHA Guideline for Assessment of Cardiovascular Risk in Asymptomatic Adults
Greenland, P., Alpert, J. S., Beller, G. A., Benjamin, E. J., Budoff, M. J., Fayad, Z. A., Foster, E., Hlatky, M. A., Hodgson, J. M., Kushner, F. G., et al. (2010) · Circulation · doi:10.1161/cir.0b013e3182051b4c · Cited by 1,968 · see citing works
(2) Classification and diagnosis of diabetes
American Diabetes Association (2015) · Diabetes Care · doi:10.2337/dc15-s005 · Cited by 1,841 · see citing works
Ridker, P. M., Buring, J. E., Rifai, N., & Cook, N. R. (2007) · JAMA · doi:10.1001/jama.297.6.611 · Cited by 1,814 · see citing works
2010 ACCF/AHA Guideline for Assessment of Cardiovascular Risk in Asymptomatic Adults
Greenland, P., Alpert, J. S., Beller, G. A., Benjamin, E. J., Budoff, M. J., Fayad, Z. A., Foster, E., Hlatky, M. A., Hodgson, J. M., Kushner, F. G., et al. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2010.09.001 · Cited by 1,322 · see citing works
Criteria for Evaluation of Novel Markers of Cardiovascular Risk
Hlatky, M., Greenland, P., Arnett, D., Ballantyne, C., Criqui, M., Elkind, M., Go, A., Harrell, F. E. J., Hong, Y.-L., Howard, B., et al. (2009) · Circulation · doi:10.1161/circulationaha.109.192278 · Cited by 1,153 · see citing works
Global status report on noncommunicable diseases
Chan, M. (2010) · Cited by 1,065 · see citing works
Mendis, S., Davis, S. M., & Norrving, B. G. (2015) · Stroke · doi:10.1161/strokeaha.115.008097 · Cited by 1,023 · see citing works
Anderson, T. J., Grégoire, J. C., Hegele, R. A., Couture, P., Mancini, G. B. J., McPherson, R., Francis, G. A., Poirier, P., Lau, D. C. W., Grover, S. A., et al. (2013) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2012.11.032 · Cited by 762 · see citing works
Relationship between glycated haemoglobin levels and mean glucose levels over time
Nathan, D. M., Turgeon, H., & Regan, S. (2007) · Diabetologia · doi:10.1007/s00125-007-0803-0 · Cited by 517 · see citing works
Backer, G. D., Ambrosioni, E., Borch‐Johnsen, K., Brotons, C., Cífková, R., Dallongeville, J., Ebrahim, S. B. J., Færgeman, O., Graham, I. D., Mancia, G., et al. (2004) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2004.02.013 · Cited by 508 · see citing works
Brindle, P., Beswick, A. D., Fahey, T. P., & Ebrahim, S. B. J. (2006) · Heart · doi:10.1136/hrt.2006.087932 · Cited by 453 · see citing works
Cohort Studies: Prospective versus Retrospective
Euser, A. M., Zoccali, C., Jager, K. J., & Dekker, F. W. (2009) · Nephron Clinical Practice · doi:10.1159/000235241 · Cited by 390 · see citing works
Zhang, Y., Hu, G., Yuan, Z., & Chen, L. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042551 · Cited by 223 · see citing works
Arnold, L. W., & Wang, Z. (2014) · The Review of Diabetic Studies · doi:10.1900/rds.2014.11.138 · Cited by 126 · see citing works
Liu, Y. Z., Yang, Y., Zhu, J., Tan, H., Liang, Y., & Li, J. (2011) · Cardiovascular Diabetology · doi:10.1186/1475-2840-10-98 · Cited by 87 · see citing works
Statistics Workbook for Evidence‐Based Health Care
Peat, J. K., Barton, B., & Elliott, E. J. (2008) · Wiley eBooks · doi:10.1002/9781444300499 · Cited by 70 · see citing works
Hypoglycemia and risk of vascular events and mortality: a systematic review and meta-analysis
Yeh, J. S., Sung, S., Huang, H.-M., Yang, H.-L., You, L., Chuang, S., Huang, P.-C., Hsu, P., Cheng, H., & Chen, C. (2015) · Acta Diabetologica · doi:10.1007/s00592-015-0803-3 · Cited by 60 · see citing works
Zhong, G., Ye, M.-X., Cheng, J.-H., Zhao, Y., & Gong, J. (2016) · Scientific Reports · doi:10.1038/srep24071 · Cited by 37 · see citing works
Liang, Y., Fratiglioni, L., Wang, R., Santoni, G., Welmer, A., & Qiu, C. (2016) · International Journal of Cardiology · doi:10.1016/j.ijcard.2016.06.118 · Cited by 36 · see citing works
The Accuracy of Diagnostic Methods for Diabetic Retinopathy: A Systematic Review and Meta-Analysis
Martínez‐Vizcaíno, V., Cavero‐Redondo, I., Álvarez‐Bueno, C., & Rodríguez‐Artalejo, F. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154411 · Cited by 26 · see citing works
Cavero‐Redondo, I., Peleteiro, B., Álvarez‐Bueno, C., Rodríguez‐Artalejo, F., & Martínez‐Vizcaíno, V. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-012229 · Cited by 15 · see citing works
Age, sex, and secondary prevention of ischaemic heart disease in everyday practice
Jankowski, P., Czarnecka, D., Wolfshaut–Wolak, R., Łysek, R., Łukaszewska, A., Surowiec, S., Loster, M., Bogacki, P., Mirek-Bryniarska, E., Grodecki, J., et al. (2013) · Kardiologia Polska · doi:10.5603/kp.a2013.0148 · Cited by 9 · see citing works
Explaining heterogeneity in meta-analysis: a comparison of methods
Thompson, S. G., & Sharp, S. J. (1999) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19991030)18:20
Flagged first, then by citations
Research works printed but not linked: 3
- [4]World Health Organization. Use of glycated haemoglobin (HbA1c) in the diagnosis of diabetes mellitus: abbreviated report of a WHO consultation. Geneva: WHO, 2011. 26158184
- [15]Meta-analysis of observational studies in Epidemiology (MOOSE) Group. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Jama 2000; 283: 2008– 12. 10789670
- [39]World Health Organization. Use of glycated haemoglobin (HbA1c) in the diagnosis of diabetes mellitus: abbreviated report of a WHO consultation. Geneva: WHO, 2011. 26158184
Cited by
Sorted by citations
Blonde, L., Umpierrez, G. E., Reddy, S. S., McGill, J. B., Berga, S. L., Bush, M., Chandrasekaran, S., DeFronzo, R. A., Einhorn, D., Galindo, R. J., et al. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2022.08.002 · Cited by 507 · see citing works
Age-related changes in glucose metabolism, hyperglycemia, and cardiovascular risk
Chia, C. W., Egan, J. M., & Ferrucci, L. (2018) · Circulation Research · doi:10.1161/circresaha.118.312806 · Cited by 454 · see citing works
Quagliariello, V., Laurentiis, M. D., Rea, D., Barbieri, A., Monti, M. G., Carbone, A., Paccone, A., Altucci, L., Conte, M., Canale, M. L., et al. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-021-01346-y · Cited by 371 · see citing works
Lu, J., Wang, C., Shen, Y., Chen, L., Zhang, L., Cai, J., Lu, W., Zhu, W., Hu, G., Xia, T., et al. (2021) · Diabetes Care · doi:10.2337/dc20-1862 · Cited by 282 · see citing works
Beverly, J., & Budoff, M. J. (2019) · Journal of Diabetes · doi:10.1111/1753-0407.12970 · Cited by 219 · see citing works
The oral microbiome in the pathophysiology of cardiovascular disease
Tonelli, A., Lumngwena, E. N., & Ntusi, N. (2023) · Nature Reviews Cardiology · doi:10.1038/s41569-022-00825-3 · Cited by 181 · see citing works
Ye, X., Kong, W., Zafar, M. I., & Chen, L.-L. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0851-z · Cited by 138 · see citing works
Su, W., Chen, S., Huang, Y.-T., Huang, J., Wu, P.-Y., Hsu, W., & Lee, M. (2019) · Nutrients · doi:10.3390/nu11112838 · Cited by 113 · see citing works
Unraveling female reproductive senescence to enhance healthy longevity
Dong, L., Teh, D. B. L., Kennedy, B. K., & Huang, Z. (2023) · Cell Research · doi:10.1038/s41422-022-00718-7 · Cited by 101 · see citing works
Hypomagnesemia and Cardiovascular Risk in Type 2 Diabetes
Oost, L. J., Tack, C. J., & de Baaij, J. H. F. (2022) · Endocrine Reviews · doi:10.1210/endrev/bnac028 · Cited by 78 · see citing works
Metabolic subtypes of patients with NAFLD exhibit distinctive cardiovascular risk profiles
Martínez‐Arranz, I., Bruzzone, C., Noureddin, M., Gil‐Redondo, R., Mincholé, I., Bizkarguenaga, M., Arretxe, E., Iruarrizaga‐Lejarreta, M., Fernández‐Ramos, D., Lopitz‐Otsoa, F., et al. (2022) · Hepatology · doi:10.1002/hep.32427 · Cited by 65 · see citing works
Lingvay, I., Deanfield, J. E., Kahn, S. E., Weeke, P. E., Toplak, H., Scirica, B. M., Rydén, L., Rathor, N., Plutzky, J., Morales, C., et al. (2024) · Diabetes Care · doi:10.2337/dc24-0764 · Cited by 64 · see citing works
Dawson, A. Z., Walker, R. J., Campbell, J. A., Davidson, T. M., & Egede, L. E. (2020) · mHealth · doi:10.21037/mhealth.2019.12.03 · Cited by 60 · see citing works
Goh, L. H., Siah, C. J. R., Tam, W., Tai, E. S., & Young, D. Y. L. (2022) · Systematic Reviews · doi:10.1186/s13643-022-02117-w · Cited by 67 · see citing works
Diabetes and cognitive decline
Bellia, C., Lombardo, M., Meloni, M., Della‐Morte, D., Bellia, A., & Lauro, D. (2022) · Advances in clinical chemistry · doi:10.1016/bs.acc.2021.07.006 · Cited by 58 · see citing works
Dobler, A., Belnap, B. H., Pollmann, H., Farin, E., Raspe, H., & Mittag, O. (2018) · Rehabilitation Psychology · doi:10.1037/rep0000224 · Cited by 51 · see citing works
Diabetes, Glycemic Control, and Risk of Infection Morbidity and Mortality: A Cohort Study
Chang, C.-H., Wang, J.-L., Wu, L.-C., Chuang, L.-M., & Lin, H.-H. (2019) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofz358 · Cited by 54 · see citing works
Hemoglobin A1c—Using Epidemiology to Guide Medical Practice: Kelly West Award Lecture 2020
Selvin, E. (2021) · Diabetes Care · doi:10.2337/dci21-0035 · Cited by 55 · see citing works
Alharthi, S. K., Alyusuf, E. Y., Alguwaihes, A. M., Alfadda, A. A., & Al‐Sofiani, M. E. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108682 · Cited by 53 · see citing works
Fan, H., Huang, Y., Zhang, H., Feng, X., Yuan, Z., & Zhou, J. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.846659 · Cited by 51 · see citing works
Where Does Metformin Stand in Modern Day Management of Type 2 Diabetes?
Ahmad, E., Sargeant, J. A., Zaccardi, F., Khunti, K., Webb, D. R., & Davies, M. J. (2020) · Pharmaceuticals · doi:10.3390/ph13120427 · Cited by 51 · see citing works
de Kreutzenberg, S. V. (2022) · High Blood Pressure & Cardiovascular Prevention · doi:10.1007/s40292-022-00524-7 · Cited by 48 · see citing works
Seidu, S., Cos, X., Brunton, S., Harris, S. B., Jansson, S. P. O., Mata‐Cases, M., Neijens, A. M. J., Topsever, P., & Khunti, K. K. (2022) · Primary care diabetes · doi:10.1016/j.pcd.2022.02.002 · Cited by 54 · see citing works
Cuadrado‐Godia, E., Jamthikar, A. D., Gupta, D., Khanna, N. N., Araki, T., Maniruzzaman, M., Saba, L., Nicolaides, A. N., Sharma, A., Omerzu, T., et al. (2019) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2019.03.020 · Cited by 41 · see citing works
Metabolic Syndrome Including Glycated Hemoglobin A1c in Adults: Is It Time to Change?
Cavero‐Redondo, I., Martínez‐Vizcaíno, V., Álvarez‐Bueno, C., Agudo‐Conde, C., Lugones‐Sánchez, C., & García‐Ortiz, L. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8122090 · Cited by 39 · see citing works
Hambling, C. E., Khunti, K., Cos, X., Wens, J., Martinez, L., Topsever, P., Prato, S. D., Sinclair, A. J., Schernthaner, G., Rutten, G. E. H. M., et al. (2019) · Primary care diabetes · doi:10.1016/j.pcd.2018.12.005 · Cited by 38 · see citing works
Srour, B., Kaaks, R., Johnson, T., Hynes, L. C., Kuhn, T. E., & Katzke, V. A. (2021) · European Journal of Epidemiology · doi:10.1007/s10654-021-00828-3 · Cited by 34 · see citing works
Lu, J., Wang, C., Cai, J., Shen, Y., Chen, L., Zhang, L., Lu, W., Zhu, W., Hu, G., Xia, T., et al. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab532 · Cited by 33 · see citing works
MacKay, D., Chan, C. B., Dasgupta, K., Dominy, C., Gagner, M., Jin, S., Kim, J., Little, J. P., MacDonald, B., McInnes, N., et al. (2022) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2022.10.004 · Cited by 33 · see citing works
Turton, J. L., Brinkworth, G. D., Parker, H. M., Lim, D. M., Lee, K., Rush, A., Johnson, R., & Rooney, K. B. (2023) · PLoS ONE · doi:10.1371/journal.pone.0288440 · Cited by 34 · see citing works
Lumu, W., Bahendeka, S., Wesonga, R., Kibirige, D., Mutebi, R. K., & Ssendikwanawa, E. (2023) · African Health Sciences · doi:10.4314/ahs.v23i1.54 · Cited by 31 · see citing works
Cavero‐Redondo, I., Peleteiro, B., Álvarez‐Bueno, C., Artero, E. G., Garrido‐Miguel, M., & Martínez‐Vizcaíno, V. (2018) · Sports Medicine · doi:10.1007/s40279-018-0861-0 · Cited by 33 · see citing works
Mitro, S. D., Sagiv, S. K., Fleisch, A. F., Jaacks, L. M., Williams, P. L., Rifas‐Shiman, S. L., Calafat, A. M., Hivert, M., Oken, E., & James-Todd, T. M. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa431 · Cited by 31 · see citing works
Association of hemoglobin A1c with the incidence of hypertension: A large prospective study
Huang, X. S., Qin, C., Guo, X., Cao, F., & Tang, C. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1098012 · Cited by 31 · see citing works
Salamah, H. M., Marey, A., Abugdida, M., Abualkhair, K. A., Elshenawy, S., Elhassan, W. A. F., Naguib, M. M., Malnev, D., Durrani, J., Bailey, R., et al. (2024) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-024-01371-3 · Cited by 30 · see citing works
Rozing, M. P., Møller, A., Aabenhus, R. M., Siersma, V., Rasmussen, K. V., & Køster‐Rasmussen, R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0225230 · Cited by 28 · see citing works
Butalia, S., Chu, L. M., Dover, D. C., Lau, D., Yeung, R. O., Eurich, D. T., Senior, P. A., & Kaul, P. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.031095 · Cited by 29 · see citing works
Community Health Workers as Trust Builders and Healers: A Cohort Study in Primary Care
Ferrer, R. L., Schlenker, C. G., Cruz, I. I., Noël, P. H., Palmer, R. F., Poursani, R. S., & Jaén, C. R. (2022) · The Annals of Family Medicine · doi:10.1370/afm.2848 · Cited by 29 · see citing works
Shemesh, S. S., Sidon, E., Kaisler, E., Sheinis, D., Velkes, S., Ohana, N., & Benayahu, D. (2017) · European Spine Journal · doi:10.1007/s00586-017-5315-0 · Cited by 28 · see citing works
Saisho, Y. (2020) · Expert Opinion on Pharmacotherapy · doi:10.1080/14656566.2020.1776262 · Cited by 28 · see citing works
Macêna, M. D. L., Nunes, L. F. D. S., da Silva, A. F., Pureza, I. R. D. O. M., Praxedes, D. R. S., Santos, J. C. D. F., & Bueno, N. B. (2022) · Nutrition Reviews · doi:10.1093/nutrit/nuac035 · Cited by 28 · see citing works
Schweiger, D. Š., Battelino, T., & Grošelj, U. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221910192 · Cited by 27 · see citing works
Cincione, R. I., Messina, A., Cibelli, G., Messina, G., Polito, R., Losavio, F., Torre, M. E. L., Monda, V., Monda, M., Quiete, S., et al. (2022) · Nutrients · doi:10.3390/nu14204361 · Cited by 27 · see citing works
Moody, E. C., Cantoral, A., Tamayo-Ortiz, M., Pizano-Zárate, M. L., Schnaas, L., Kloog, I., Oken, E., Coull, B., Baccarelli, A., Téllez-Rojo, M. M., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.17643 · Cited by 27 · see citing works
Prognostic Markers in Advanced Heart Failure
Godhiwala, P., Acharya, S., Kumar, S., & Bagga, C. S. (2021) · Journal of Evolution of Medical and Dental Sciences · doi:10.14260/jemds/2021/8 · Cited by 26 · see citing works
Botoseneanu, A., Markwardt, S., & Quiñones, A. R. (2023) · Gerontology · doi:10.1159/000528648 · Cited by 25 · see citing works
Diabetes, dysglycemia, and vascular surgery
Duwayri, Y. M., & Jordan, W. D. (2019) · Journal of Vascular Surgery · doi:10.1016/j.jvs.2019.05.027 · Cited by 27 · see citing works
Mihara, A., Ohara, T., Hata, J., Honda, T., Chen, S., Sakata, S., Oishi, E., Hirakawa, Y., Nakao, T., Kitazono, T., et al. (2020) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2020.08.016 · Cited by 24 · see citing works
Khunti, K. K., & Aroda, V. R. (2022) · Diabetes Care · doi:10.2337/dci21-0064 · Cited by 24 · see citing works
dos Reis, R. C. P., Duncan, B. B., Szwarcwald, C. L., Malta, D. C., & Schmidt, M. I. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10153428 · Cited by 23 · see citing works
Yu, X., Chen, C., Guo, Y. C., Tong, Y., Zhao, Y., Wu, L., Sun, X., Wu, X., & Song, Z. (2021) · Annals of Medicine · doi:10.1080/07853890.2021.1974081 · Cited by 23 · see citing works
Frank, J., Blissett, D. B., Hellmund, R., & Virdi, N. S. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0263 · Cited by 23 · see citing works
Ahmed, Z., Zeeshan, S., & Liang, B. T. (2021) · Human Genomics · doi:10.1186/s40246-021-00367-8 · Cited by 23 · see citing works
Alghamdi, S., Bieber, B. A., Alrukhaimi, M. N., AlSahow, A., Salmi, I. A., Ali, F. A., Aradi, A. H. A., Pecoits-Filho, R., Robinson, B. M., Pisoni, R. L., et al. (2022) · Kidney International Reports · doi:10.1016/j.ekir.2022.02.012 · Cited by 23 · see citing works
Bielska, A., Bauer, W., Szałkowska, A., Sidorkiewicz, I., Skwarska, A., Raczkowska, J., Ostrowski, D., Gugała, K., Dobrzycki, S., Niemira, M., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.888948 · Cited by 22 · see citing works
Currenti, W., Losavio, F., Quiete, S., Alanazi, A. M., Messina, G., Polito, R., Ciolli, F., Zappalà, R. S., Galvano, F., & Cincione, R. I. (2023) · Nutrients · doi:10.3390/nu16010095 · Cited by 23 · see citing works
Luo, S., Yeung, S. L. A., & Schooling, C. M. (2021) · Diabetologia · doi:10.1007/s00125-021-05537-w · Cited by 23 · see citing works
Zhao, H., Liu, M., Chen, Z., Mei, K., Yu, P., & Xie, L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0227262 · Cited by 22 · see citing works
Glycated Hemoglobin and Risk of Arterial Stiffness in a Chinese Han Population: A Longitudinal Study
Han, Z., Kang, X., Zhang, J., Wang, J., Liu, Y., Liu, J., Wu, Z., Li, X., Zhao, X., Guo, X., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.854875 · Cited by 21 · see citing works
Chin, K. L., Ofori-Asenso, R., Si, S., Hird, T. R., Magliano, D. J., Zoungas, S., & Liew, D. (2019) · Scientific Reports · doi:10.1038/s41598-019-40191-8 · Cited by 23 · see citing works
Evans, M., Chandramouli, A. S., Faurby, M. D., Matthiessen, K. S., Mogensen, P. B., & Verma, S. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14703 · Cited by 20 · see citing works
Shiferaw, W. S., Akalu, T. Y., Desta, M., Kassie, A. M., Petrucka, P. M., Assefa, H. K., & Aynalem, Y. A. (2020) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2020.10.003 · Cited by 21 · see citing works
Kostov, K. G., & Blazhev, A. B. (2020) · Medicina · doi:10.3390/medicina56050231 · Cited by 19 · see citing works
Higher dementia incidence in older adults with type 2 diabetes and large reduction in HbA1c
Lee, A. T. C., Richards, M., Chan, W. C., Chiu, H. F. K., Lee, R. S. Y., & LAM, L. C. W. (2019) · Age and Ageing · doi:10.1093/ageing/afz108 · Cited by 18 · see citing works
Remission of Type 2 Diabetes: User’s Guide
Jin, S., BAJAJ, H. S., Brazeau, A., Champagne, J., MacDonald, B., MacKay, D., Reichert, S. M., Vallis, M., BAJAJ, H. S., Gilbert, J. D., et al. (2022) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2022.10.005 · Cited by 17 · see citing works
Intragastric Balloon Significantly Improves Metabolic Parameters at 6 Months: a Meta-Analysis
Shah, R. H., Vedantam, S., Kumar, S., Amin, S., Pearlman, M. Y., & Bhalla, S. (2023) · Obesity Surgery · doi:10.1007/s11695-022-06437-7 · Cited by 17 · see citing works
A perspective on treating type 1 diabetes mellitus before insulin is needed.
藤村, 浩., Narendran, P., & Dayan, C. M. (2023) · PubMed · doi:10.1038/s41574-023-00816-5
Sari, M. I., Tala, Z. Z., & Wahyuni, D. D. (2019) · Open Access Macedonian Journal of Medical Sciences · doi:10.3889/oamjms.2019.168 · Cited by 16 · see citing works
Role and Risk Factors of Glycosylated Hemoglobin Levels in Early Disease Screening
Chao, G., Zhu, Y., & Chen, L. (2021) · Journal of Diabetes Research · doi:10.1155/2021/6626587 · Cited by 16 · see citing works
Darwish, L., Nguyen, M., Saleem, M., Eakin, K. A., Herrmann, N., Sugamori, K. S., OH, P. I., Yang, P., Mitchell, J., Lanctôt, K. L., et al. (2019) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2019.01.003 · Cited by 16 · see citing works
Liu, L., Ye, J., Ying, M., Li, Q., Chen, S., Wang, B., Lin, Y., Chen, G., Lun, Z., Huang, H., et al. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.632704 · Cited by 16 · see citing works
Liu, L., Zhen, D., Fu, S., Sun, W.-M., Li, H., Zhao, N., Hou, L., & Tang, X. (2022) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-022-00827-8 · Cited by 15 · see citing works
Cavero‐Redondo, I., Saz‐Lara, A., Martínez‐García, I., Otero-Luis, I., & Martínez‐Rodrigo, A. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-023-02104-y · Cited by 15 · see citing works
Lou, Y., Li, P. H., Liu, X. Q., Wang, T. X., Liu, Y. L., Chen, C. C., & Ma, K. L. (2024) · BMC Nephrology · doi:10.1186/s12882-024-03505-1 · Cited by 14 · see citing works
Significant association between blood lead (Pb) level and haemoglobin A1c in non-diabetic population
Chang, C., Wang, C., Wu, D., Lee, W.-H., Chen, Y., Liu, Y., Li, C.-H., Tsai, C., Lin, W., Chen, S., et al. (2021) · Diabetes & Metabolism · doi:10.1016/j.diabet.2021.101233 · Cited by 15 · see citing works
Cardiovascular Outcome Trials in Type 2 Diabetes: What Do They Mean for Clinical Practice?
Eckel, R. H., Farooki, A., Henry, R. R., Koch, G. G., & Leiter, L. A. (2019) · Clinical Diabetes · doi:10.2337/cd19-0001 · Cited by 15 · see citing works
A scoping review of polypharmacy interventions in patients with stroke, heart disease and diabetes
Lum, M. V., Cheung, M. Y. S., Harris, D. R., & Sakakibara, B. M. (2020) · International Journal of Clinical Pharmacy · doi:10.1007/s11096-020-01028-x · Cited by 15 · see citing works
The growing use of continuous glucose monitors in people without diabetes: an evidence‐free zone
Guess, N. D. (2023) · Practical Diabetes · doi:10.1002/pdi.2475 · Cited by 15 · see citing works
Wang, W., Hsu, P., Lin, C.-C., Wang, Y., Ding, Y.-Z., Liou, T., Wang, Y.-W., Huang, S., Lu, T., Huang, P., et al. (2019) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.51425 · Cited by 13 · see citing works
Heald, A. H., Stedman, M., Robinson, A., Davies, M., Livingston, M. A., Alshames, R., Moreno, G., Gadsby, R., Rayman, G. A., Gibson, M., et al. (2022) · Diabetes Therapy · doi:10.1007/s13300-022-01215-1 · Cited by 13 · see citing works
Cho, K., Kim, J. E., Komatsu, T., & Uehara, Y. (2023) · Life · doi:10.3390/life13061319 · Cited by 13 · see citing works
Zhao, X., Yuan, Y., Lin, Y., Zhang, T., Bai, Y., Kang, D., Li, X., Kang, W., Dlodlo, R. A., & Harries, A. D. (2018) · PLoS ONE · doi:10.1371/journal.pone.0206372 · Cited by 13 · see citing works
Bächle, C., Scherler, W., Lang, A., Filla, T., & Kuß, O. (2022) · Acta Diabetologica · doi:10.1007/s00592-022-01887-y · Cited by 12 · see citing works
Malglycemia in the critical care setting. Part II: Relative and absolute hypoglycemia
Roberts, G., Krinsley, J. S., Preiser, J., Quinn, S. J., Rule, P. R., Brownlee, M., Umpierrez, G. E., & Hirsch, I. B. (2023) · Journal of Critical Care · doi:10.1016/j.jcrc.2023.154429 · Cited by 13 · see citing works
Choe, H., Sung, H., Kim, G., Lee, O., Moon, H. Y., & Kim, Y. S. (2021) · Epidemiology and Health · doi:10.4178/epih.e2021080 · Cited by 12 · see citing works
Zawiejska, A., Wróblewska‐Seniuk, K., Gutaj, P., Kippen, J., Gomulska, A., & Wender-Ożegowska, E. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11071777 · Cited by 12 · see citing works
Jonusas, J., Aleknavičius, K., & Valinskas, S. (2023) · Smart Health · doi:10.1016/j.smhl.2023.100404 · Cited by 12 · see citing works
Orozco‐Beltrán, D., Navarro-Pérez, J., Cuenca, A. M. C., Guisasola, F. Á., Caride-Miana, E., Navarro, G. M., Quesada, J. A., López‐Pineda, A., Cardona-Llorens, A. F. J., Redón, J., et al. (2020) · Primary care diabetes · doi:10.1016/j.pcd.2020.06.003 · Cited by 12 · see citing works
Martin, M., Patterson, J., Allison, M., O’Connor, B. B., & Patel, D. K. (2021) · JMIR Diabetes · doi:10.2196/24981 · Cited by 12 · see citing works
Lan, J., Yan, W., Zhu, Y., Zhang, Y., Zhang, S., Mo, L., Wei, D., & Lei, Y. (2023) · Surgical Infections · doi:10.1089/sur.2023.130 · Cited by 11 · see citing works
The Fruit and Veggies for Kidney Health Study: A Prospective Randomized Trial
Kitzman, H. E., Montgomery, A. H., Khan, M., Mamun, A. A., Tecson, K. M., Allison, P., Simoni, J., & Wesson, D. E. (2023) · Kidney Medicine · doi:10.1016/j.xkme.2023.100736 · Cited by 11 · see citing works
Aga, F., Dunbar, S. B., Kebede, T., Higgins, M. K., & GARY, R. A. (2020) · Nursing Open · doi:10.1002/nop2.517 · Cited by 11 · see citing works
Hyperglycemia, symptoms, and symptom clusters in colorectal cancer survivors with type 2 diabetes
Storey, S., Luo, X., Ofner, S., Perkins, S. M., & Ah, D. M. V. (2022) · Supportive Care in Cancer · doi:10.1007/s00520-022-07442-3 · Cited by 11 · see citing works
Gourdy, P., Bahloul, A., Boultif, Z., Gouet, D., & Guerci, B. (2019) · Diabetes Therapy · doi:10.1007/s13300-019-00734-8 · Cited by 11 · see citing works
Baumert, J. J., Heidemann, C., Paprott, R., Du, Y., & Scheidt‐Nave, C. (2018) · BMC Endocrine Disorders · doi:10.1186/s12902-018-0319-2 · Cited by 11 · see citing works
Zolper, E. G., Deldar, R., Haffner, Z. K., Sayyed, A. A., Meshkin, D. H., Hill, C. B., Bekeny, J. C., Fan, K. L., Evans, K. K., & Attinger, C. E. (2022) · Journal of the American College of Surgeons · doi:10.1097/xcs.0000000000000247 · Cited by 10 · see citing works
Sugimoto, T., Sakurai, T., Uchida, K., Kuroda, Y., Tokuda, H., Omura, T., Noguchi, T., Komatsu, A., Nakagawa, T., Fujita, K., et al. (2024) · Diabetes Care · doi:10.2337/dc23-2324 · Cited by 10 · see citing works
Pantanetti, P., Ronconi, V., Sguanci, M. E., Palomares, S. M., Mancin, S., Tartaglia, F. C., Cangelosi, G., & Petrelli, F. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13164752 · Cited by 10 · see citing works
Zeng, R., Zhang, Y., Xu, J., Kong, Y.-J., Tan, J.-W., Guo, L., & Zhang, M. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12072615 · Cited by 12 · see citing works
Kim, K., Unni, S. K., Brixner, D. I., Thomas, S. M., Olsen, C. J., Sterling, K. L., Mitchell, M., & McAdam‐Marx, C. (2019) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13694 · Cited by 10 · see citing works
- Authors
- Cavero-Redondo, I., Peleteiro, B., Álvarez-Bueno, C., Rodriguez-Artalejo, F., & Martínez-Vizcaíno, V.
- Affiliations
- Universidad de Castilla—La Mancha, Health and Social Research Center, Cuenca, Spain
- EPI Unit, Instituto de Saúde Pública,Universidade do Porto, Porto, Portugal
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid/ IdiPaz, CIBERESP, and IMDEA-Food Institute. CEI UAM+CSIC, Madrid, Spain
- Venue
- BMJ Open
- Publisher
- BMJ
- Published
- 2017-07
- Volume
- 7
- Issue
- 7
- Pages
- e015949
- ISSN
- 2044-6055 (ISSN-L)
- PMC
- PMC5642750
- OpenAlex
- W2739699420
- Cited by
- 260
- References
- 46
- Citations by year
- 2026: 13 · 2025: 26 · 2024: 27 · 2023: 46 · 2022: 45 · 2021: 44 · 2020: 26 · 2019: 24 · 2018: 8 · 2017: 1
- FWCI
- 2.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc
- Locations
- BMJ Open (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
- HighWire Press Open Archive (submittedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Funders
- Universidad de Castilla-La Mancha (FPU13/01582, FPU13/03137)
- Fundação para a Ciência e a Tecnologia (SFRH/BPD/108751/2015)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- glycated haemoglobin A1c, HbA1c targets, all-cause mortality, cardiovascular mortality, cardiovascular events, diabetes mellitus, glycemic control, cardiovascular risk factors, non-diabetic population, HbA1c thresholds, cardiovascular disease prevention
- MeSH terms
- Cardiovascular Diseases, Diabetes Mellitus, Type 2, Glycated Hemoglobin, Humans, Risk Factors, Observational Studies as Topic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review