| Literature DB >> 35870897 |
Jin He1,2, Dongmei Jiang1,2, Xianwei Cui3, Chenbo Ji4,5.
Abstract
BACKGROUND: This review was conducted to investigate the association between serum vitamin B12 levels as well as folic acid/vitamin B12 during pregnancy and the risk of gestational diabetes mellitus (GDM).Entities:
Keywords: Association; Folate; GDM; Meta-analysis; Vitamin B12
Mesh:
Substances:
Year: 2022 PMID: 35870897 PMCID: PMC9308279 DOI: 10.1186/s12884-022-04911-9
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.105
Fig. 1PRISMA flow chart of the study identification process
Characteristics of studies investigating the association between vitamin B12 and gestational diabetes mellitus (N = 10, from 2007–2022)
| Study | Country | Study design | Sample size | Trimester of Vitamin B12 | GDM diagnosis | Vitamin B12 and GDM | Folic acid/Vitamin B12 and GDM | Score | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wang, 2020 [ | China | case–control | NR1 | Third trimester | IADPSGC2 | 1.31 | 1.03–1.68 | 0.03 | - | - | - | 4 |
| Sukumar, 2016 [ | British | Retrospective case–control | 344 | Second trimester | WHO 19993 | 2.59 | 1.35–4.98 | 0.004 | - | - | - | 7 |
| Krishnaveni, 2009 [ | India | Prospective cohort-study | 785 | Third trimester | WHO 19993 | 2.00 | 1.1–3.6 | 0.02 | - | - | - | 7 |
| Chen, 2021 [ | China | Prospective cohort-study | 1058 | First trimester | IADPSGC2 | 1.54 | 1.41–1.68 | 0.002 | 0.98 | 0.97–0.99 | 0.009 | 7 |
| Li, 2019 [ | China | Cross-sectional | 406 | Third trimester | IADPSGC2 | 0.30 | 0.15–0.60 | < 0.05 | 3.08 | 1.63–5.83 | < 0.005 | 7 |
| Lai, 2018 [ | China, India, Malaysia | Cross-sectional | 913 | Second trimester | WHO 19993 | 0.81 | 0.68–0.97 | 0.02 | 1.97 | 1.05–3.68 | 0.034 | 7 |
| Tan, 2020 [ | Australia | Nested-cohort | 325 | Second trimester | WHO 20164 | 0.99 | 0.83–1.18 | 0.913 | 1.37 | 0.71–2.62 | 0.347 | 7 |
| Sukumar, 2021 [ | British | Prospective cohort-study | 4746 | First trimester | IADPSGC2 | 0.86 | 0.79–0.93 | < 0.05 | 1.74 | 1.23–2.44 | 0.003 | 7 |
| 1.20 | 1.00–1.44 | 0.05 | ||||||||||
| Krishnaveni, 2007 [ | India | Prospective cohort-study | 654 | Third trimester | Carpenter-Coustan criteria5 | 1.90 | 0.98–3.68 | 0.057 | 4.8 | 1.45–15.84 | 0.01 | 4 |
| Li, 2022 [ | China | case–control | 1364 | Second trimester | IADPSGC2 | 0.80 | 0.65–0.98 | 0.033 | - | - | 7 | |
1NR, Not Report
2IADPSGC, International Association of Diabetes and Pregnancy Study Groups (75 g OGTT, fasing > 5.1 mmol/L, 1-h > 10.0 mmol/L, 2-h > 8.5 mmol/L)
3WHO 1999, 1999 World Health Organization standard criteria (75 g OGTT, fasting > 7.0 mmol/L; 2-h > 7.8 mmol/L)
4WHO 2016, the new (2016) World Health Organization classification (fasting ≥ 5.1 mmol/L 2-h level of ≥ 8.5 mmol/L)
5Carpenter-Coustan (50 g OGTT, fasting > 5 mmol/L, 1-h > 10.0 mmol/L, 2 -h > 8.6 mmol/L, 3 -h > 7.7 mmol/L)
Fig. 2Forest plots (random effects model) of meta-analysis of cohort studies on the association between the concentration of vitamin B12 and the risk of GDM. The data in the graph are logarithmically converted
Fig. 3Forest plots (random effects model) of meta-analysis of cross-sectional studies on the association between the concentration of vitamin B12 and the risk of GDM. The data in the graph are logarithmically converted
Fig. 4Forest plots (random effects model) of meta-analysis of cohort studies on the association between the between folic acid/vitamin B12 ratio and GDM. The data in the graph are logarithmically converted
Fig. 5Forest plots (random effects model) of meta-analysis of cross-sectional studies on the association between the between folic acid/vitamin B12 ratio and GDM. The data in the graph are logarithmically converted
Subgroup analysis of the risk of gestational diabetes mellitus and vitamin B12
| Cohort studies | 4 | 1.46(1.21–1.79) | 59.0% | < 0.001 | 0.063 | - |
| Subgroup | ||||||
| Country | ||||||
| European | 1 | 1.20 (1.00–1.45) | - | - | 0.046 | 0.03 |
| Asia | 1 | 1.54 (1.41–1.67) | - | - | < 0.00 | |
| South Asia | 2 | 1.95(1.26–3.03) | 0% | 0.91 | 0.003 | |
| Trimester | ||||||
| First | 2 | 1.38(1.08–1.75) | 82.6% | 0.016 | 0.009 | 0.0039 |
| Second | 1 | 1.99 (0.98–3.63) | - | - | 0.057 | |
| Third | 1 | 1.90 (0.98–3.67) | - | - | 0.022 | |
| GDM diagnosis | ||||||
| IADPSGC | 2 | 1.38(1.08–1.75) | 82.6% | 0.016 | 0.009 | 0.0031 |
| WHO1999 | 1 | 1.90 (0.98–3.67) | - | - | 0.022 | |
| Carpenter-Coustan criteria | 1 | 1.99 (0.98–3.63) | - | - | 0.046 | |
| Cross-sectional studies | 6 | 0.97(0.76–1.25) | 81.6% | < 0.001 | 0.691 | |
| Subgroup | ||||||
| Vitamin B12 levels | ||||||
| high | 3 | 0.77 (0.63–0.94) | 48.1% | 0.145 | 0.011 | |
| low | 3 | 1.33 (0.91–1.94) | 79.6% | 0.007 | 0.138 | |
| Sample size | ||||||
| > 500 | 2 | 0.82 (0.72–0.93) | 0% | 0.786 | 0.002 | 0.191 |
| < 500 | 4 | 1.02 (0.72–1.67) | 84.0% | < 0.001 | 0.666 | |
| Country | ||||||
| European | 2 | 1.52 (0.59–3.86) | 87.1% | 0.005 | 0.382 | 0.249 |
| Asia | 4 | 0.85 (0.64–1.14) | 81.8% | 0.001 | 0.285 | |
| GDM diagnosis | ||||||
| IADPSGC | 3 | 1.83 (0.51–1.34) | 87.1% | < 0.001 | 0.447 | 0.648 |
| WHO1999 | 2 | 1.44 (0.46–4.26) | 90.9% | 0.001 | 0.552 | |
| WHO2016 | 1 | 0.90 (0.83–1.18) | - | - | 0.911 | |
| Trimester | ||||||
| First | 1 | 0.90(0.83–1.81) | - | - | 0.911 | 0.107 |
| Second | 4 | 0.88(0.61–1.27) | 81.2% | 0.001 | 0.502 | |
| Third | 1 | 1.31(1.03–1.68) | - | - | 0.030 | |
P*-value for heterogeneity of subgroup. P**-value for tests of subgroup effect size. P**-value for Q statistics between-subgroup heterogeneity