ObjectiveTo systematically review the research status of risk prediction models for gestational diabetes mellitus (GDM). MethodsThe CNKI, WanFang Data, VIP, CBM, PubMed, JBI EBP, Ovid MEDLINE, Embase, Web of Science and Cochrane Library databases were electronically searched to collect relevant literature on risk prediction models for GDM from inception to October 2022. Two researchers independently screened the literature, extracted data, and assessed the risk of bias of the included studies, and then qualitative description was performed. ResultsA total of 19 studies were included, involving 19 risk prediction models. The evaluation results showed that, in terms of the risk of bias, 18 studies were high risk, and 1 study was unclear. In terms of applicability, 14 studies were high risk, 2 studies were low risk, and 3 studies were unclear. The area under the receiver operating characteristic curve of the included models was 0.69 to 0.88. The most common predictors included age, weight, pre-pregnancy BMI, history of diabetes, family history of diabetes, and race. ConclusionThe overall performance of the risk prediction model for gestational diabetes mellitus is good, but the risk of bias of the model is high, and the clinical applicability of the model needs to be further verified.
Objective To overview the systematic review (SR) of the effects of dietary pattern intervention during pregnancy on pregnant women with gestational diabetes mellitus (GDM). Methods The Cochrane Library, The Joanna Briggs Institute Library, Embase, PubMed, Web of Science, CINAHL, CBM, CNKI, WanFang Data, and VIP database were electronically searched to collect SR and meta-analysis on the effects of different dietary patterns on maternal and infant outcomes of gestational diabetes mellitus from inception to October 1, 2024. Two reviewers independently screened literature, extracted data, and then AMSTAR 2 tool was used to assess the methodological quality of included studies. Meta-analysis performed by using RevMan 5.3 software. Results A total of 15 relevant SR were included, the methodological quality of the included SR was generally low, with 3 SR at a low level and 12 SR at a very low level. Major dietary patterns include the low glycemic index (GI) diet, carbohydrate (CHO) restricted diet, energy restricted diet, dietary approaches to stop hypertension (DASH) diet, high-fiber diet, polyunsaturated fatty acid (PUFA) rich diet, soy protein-enriched diet, low glycemic load (GL) diet, and mediterranean diet. A meta-analysis of primary outcome measures showed that the low GI diet, DASH diet and low GL load diet had a lower incidence of blood glucose levels and adverse pregnancy outcomes (including maternal weight gain, insulin use, cesarean section, macrosomia, newborn birth weight) compared with the control diets. Conclusion It was recommended that GDM pregnant women follow the low GI diet, DASH diet, or low GL diet to control blood glucose levels and improve pregnancy outcomes. There is currently insufficient evidence to support the effects of other dietary patterns on GDM.