Risk prediction models for postpartum glucose intolerance in women with a history of gestational diabetes mellitus: a scoping review

Cho NH, Shaw JE, Karuranga S, et al. IDF diabetes atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271–81. https://doi.org/10.1016/j.diabres.2018;02.023.

Article  CAS  PubMed  Google Scholar 

International Diabetes Federation. IDF Diabetes Atlas. 10th ed. Brussels: International Diabetes Federation; 2021.

Google Scholar 

Alejandro EU, Mamerto TP, Chung G, et al. Gestational diabetes mellitus: a harbinger of the vicious cycle of diabetes. Int J Mol Sci. 2020;21(14):5003. https://doi.org/10.3390/ijms21145003.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gomes D, von Kries R, Delius M, et al. Late-pregnancy dysglycemia in obese pregnancies after negative testing for gestational diabetes and risk of future childhood overweight: an interim analysis from a longitudinal mother-child cohort study. PLoS Med. 2018;15(10):e1002681. https://doi.org/10.1371/journal.pmed.1002681.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Green JB. Cardiovascular consequences of gestational diabetes. Circulation. 2021;143(10):988–90. https://doi.org/10.1161/CIRCULATIONAHA.120.052995.

Article  CAS  PubMed  Google Scholar 

El Ouahabi H, Doubi S, Boujraf S, et al. Gestational diabetes and risk of developing postpartum type 2 diabetes: how to improve follow-up? Int J Prev Med. 2019;10:51. https://doi.org/10.4103/ijpvm.IJPVM_3_17.

Article  PubMed  PubMed Central  Google Scholar 

Olmos P, Borzone G, Poblete A. Basal glucose on tolerance test during pregnancy predicts impaired fasting glucose and type 2 diabetes within 2 months after gestational diabetes. Can J Diabetes. 2021;45(2):122–8. https://doi.org/10.1016/j.jcjd.2020.06.008.

Article  PubMed  Google Scholar 

Jotic AZ, Stoiljkovic MM, Milicic TJ, et al. Prevalence and metabolic predictors for early diagnosed prediabetes in women with previous gestational diabetes: observational cohort study. Diabetes Ther. 2021;12(10):2691–700. https://doi.org/10.1007/s13300-021-01144-5.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bellamy L, Casas JP, Hingorani AD, et al. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet. 2009;373(9677):1773–9. https://doi.org/10.1016/S0140-6736(09)60731-5.

Article  CAS  PubMed  Google Scholar 

Vounzoulaki E, Khunti K, Abner SC, et al. Progression to type 2 diabetes in women with a known history of gestational diabetes: systematic review and meta-analysis. BMJ. 2020;369:m1361. https://doi.org/10.1136/bmj.m1361.

Article  PubMed  PubMed Central  Google Scholar 

Szmuilowicz ED, Josefson JL, Metzger BE. Gestational diabetes mellitus. Endocrinol Metab Clin N Am. 2019;48(3):479–93. https://doi.org/10.1016/j.ecl.2019.05.001.

Article  Google Scholar 

Au EH, Francis A, Bernier-Jean A, et al. Prediction modeling-part 1: regression modeling. Kidney Int. 2020;97(5):877–84. https://doi.org/10.1016/j.kint.2020.02.007.

Article  PubMed  Google Scholar 

Poldrack RA, Huckins G, Varoquaux G. Establishment of best practices for evidence for prediction: a review. JAMA Psychiatry. 2020;77(5):534–40. https://doi.org/10.1001/jamapsychiatry.2019.3671.

Article  PubMed  PubMed Central  Google Scholar 

Bianchi C, de Gennaro G, Brocchi A, et al. Risk factors associated with postpartum impaired glucose regulation in women with previous gestational diabetes. J Diabetes Complicat. 2021;35(4):107854. https://doi.org/10.1016/j.jdiacomp.2021.107854.

Article  CAS  Google Scholar 

Lai M, Fang F, Ma Y, et al. Elevated Midtrimester triglycerides as a biomarker for postpartum hyperglycemia in gestational diabetes. J Diabetes Res. 2020;2020:3950652. https://doi.org/10.1155/2020/3950652.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Muche AA, Olayemi OO, Gete YK. Predictors of postpartum glucose intolerance in women with gestational diabetes mellitus: a prospective cohort study in Ethiopia based on the updated diagnostic criteria. BMJ Open. 2020;10(8):e036882. https://doi.org/10.1136/bmjopen-2020-036882.

Article  PubMed  PubMed Central  Google Scholar 

Arksey H, O'Malley L. Scoping studies:towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32. https://doi.org/10.1080/1364557032000119616.

Article  Google Scholar 

Moons KGM, Wolff RF, Riley RD, et al. PROBAST: a tool to assess risk of Bias and applicability of prediction model studies: explanation and elaboration. Ann Intern Med. 2019;170(1):W1–W33. https://doi.org/10.7326/M18-1377.

Article  PubMed  Google Scholar 

Peduzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373–9. https://doi.org/10.1016/s0895-4356(96)00236-3.

Article  CAS  PubMed  Google Scholar 

van Smeden M, Moons KG, de Groot JA, et al. Sample size for binary logistic prediction models: beyond events per variable criteria. Stat Methods Med Res. 2019;28(8):2455–74. https://doi.org/10.1177/0962280218784726.

Article  PubMed  Google Scholar 

Finazzi S, Poole D, Luciani D, et al. Calibration belt for quality-of-care assessment based on dichotomous outcomes. PLoS One. 2011;6(2):e16110. https://doi.org/10.1371/journal.pone.0016110.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. https://doi.org/10.1136/bmj.n71.

Article  PubMed  PubMed Central  Google Scholar 

Kondo M, Nagao Y, Mahbub MH, et al. Factors predicting early postpartum glucose intolerance in Japanese women with gestational diabetes mellitus: decision-curve analysis. DiabetMed. 2018;35(8):1111–7. https://doi.org/10.1111/dme.13657.

Article  CAS  Google Scholar 

McElnay JC, Elnour AA. Risk factor model for developing postpartum diabetes mellitus in patients with gestational diabetes mellitus. Int J Med. 2006. https://www.priory.com/med/postpartumdiabetes.htm.

Bartáková V, Barátová B, Pácal L, et al. Development of a new risk score for stratification of women with gestational diabetes mellitus at high risk of persisting postpartum glucose intolerance using routinely assessed parameters. Life (Basel). 2021;11(6):464. https://doi.org/10.3390/life11060464.

Article  CAS  PubMed  Google Scholar 

Bengtson AM, Dice ALE, Clark MA, et al. Predicting progression from gestational diabetes to impaired glucose tolerance using peri-delivery data: an observational study. Am J Perinatol. 2022. https://doi.org/10.1055/a-1877-9587.

Allalou A, Nalla A, Prentice KJ, et al. A predictive metabolic signature for the transition from gestational diabetes mellitus to type 2 diabetes. Diabetes. 2016;65(9):2529–39. https://doi.org/10.2337/db15-1720.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Li W, Leng J, Liu H, et al. Nomograms for incident risk of postpartum type 2 diabetes in Chinese women with prior gestational diabetes mellitus. Clin Endocrinol. 2019;90(3):417–24. https://doi.org/10.1111/cen.13863.

Article  CAS  Google Scholar 

Man B, Schwartz A, Pugach O, et al. A clinical diabetes risk prediction model for prediabetic women with prior gestational diabetes. PLoS One. 2021;16(6):e0252501. https://doi.org/10.1371/journal.pone.0252501.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kwak SH, Choi SH, Kim K, et al. Prediction of type 2 diabetes in women with a history of gestational diabetes using a genetic risk score. Diabetologia. 2013;56(12):2556–63. https://doi.org/10.1007/s00125-013-3059-x.

Article  PubMed  Google Scholar 

Kumar M, Ang LT, Ho C, et al. Machine learning-derived prenatal predictive risk model to guide intervention and prevent the progression of gestational diabetes mellitus to type 2 diabetes: prediction model development study. JMIR Diabetes. 2022;7(3):e32366. https://doi.org/10.2196/32366.

Article  PubMed  PubMed Central  Google Scholar 

Ignell C, Ekelund M, Anderberg E, et al. Model for individual prediction of diabetes up to 5 years after gestational diabetes mellitus. Springerplus. 2016;5:318. https://doi.org/10.1186/s40064-016-1953-7.

Article  PubMed  PubMed Central  Google Scholar 

Wang XM, Gao Y, Eriksson JG, et al. Metabolic signatures in the conversion from gestational diabetes mellitus to postpartum abnormal glucose metabolism: a pilot study in Asian women. Sci Rep. 2021;11(1):16435. https://doi.org/10.1038/s41598-021-95903-w.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Joglekar MV, Wong WKM, Ema FK, et al. Postpartum circulating microRNA enhances prediction of future type 2 diabetes in women with previous gestational diabetes. Diabetologia. 2021;64(7):1516–26. https://doi.org/10.1007/s00125-021-05429-z.

Article  CAS  PubMed  Google Scholar 

Köhler M, Ziegler AG, Beyerlein A. Development of a simple tool to predict the risk of postpartum diabetes in women with gestational diabetes mellitus. Acta Diabetol. 2016;53(3):433–7. https://doi.org/10.1007/s00592-015-0814-0.

Article  PubMed  Google Scholar 

Li H, Liu M. Cohort studies in health management research. Chin J Health Manag. 2019;13(3):268–72. https://doi.org/10.3760/cma.j.issn.1674-0815.2019.03.021.

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