Abstract
Lei Yu1,*, Xiao-Ling Zeng1,2,*, Ming-Liang Cheng3, Guo-Zhen Yang1, Bi Wang1,4, Zi-Wen Xiao1, Xin Luo2, Bao-Fang Zhang3, De-Wei Xiao4, Shuai Zhang5, Hua-Juan Liu3, Ya-Xin Hu3, Hou-Kang Lei1, Qin-Fen Li1 and Zheng-Rong Wang1
1Prenatal Diagnosis Center, Hospital Affiliated to Guizhou Medical University, Guiyang 550004, Guizhou, China
2The First Affiliated Hospital of Jinan University, Guangdong 510632, Guangzhou, China
3Department of Infectious Diseases, Hospital Affiliated to Guizhou Medical University, Guiyang 550004, Guizhou, China
4Department of Eugenics and Genetics, Guiyang Maternal and Child Health-Care Hospital, Guiyang 550003, Guizhou, China
5Department of Interventional Radiology, Cancer Hospital of Guizhou Medical University, Guiyang 550004, Guizhou, China
*These authors have contributed equally to this work
Correspondence to:
Ming-Liang Cheng, email: [email protected]
Guo-Zhen Yang, email: [email protected]
Keywords: pre-gestational diabetes, adverse pregnancy outcomes, risk, meta-analysis
Received: February 21, 2017 Accepted: April 05, 2017 Published: May 11, 2017
ABSTRACT
Pregnancies complicated by pre-gestational diabetes (PGD) are associated with a higher rate of adverse outcomes, including an increased rage of preterm delivery, pregnancy-induced hypertension, pre-eclampsia, caesarean section, perinatal mortality, stillbirth, shoulder dystocia, macrosomia, small for gestational age, large for gestational age, low birth weight, neonatal hypoglycemia, neonatal death, low Apgar score, NICU admission, jaundice and respiratory distress. In the past two decades, numerous reports have been published regarding associations between PGD and risk of adverse outcomes. However, study results are inconsistent. To provide a synopsis of the current understanding of PGD for risk of adverse pregnancy outcomes, a random-effects meta-analysis over 40 million subjects from 100 studies was performed to calculate the pooled ORs. Potential sources of heterogeneity were systematically explored by multiple strata analyses and meta-regression. Overall, PGD were significantly associated with increased risk of preterm delivery (OR=3.48), LGA (OR=3.90), perinatal mortality (OR=3.39), stillbirth (OR=3.52), pre-eclampsia (OR=3.48), caesarean section (OR=3.52), NICU admission (OR=3.92), and neonatal hypoglycemia (OR=26.62). Significant results were also observed for 7 adverse outcomes with OR range from 1.54 to 2.82, while no association was found for SGA and respiratory distress after Bonferroni correction. We found that women with T1DM had higher risks for most of adverse pregnancy outcomes compared with women with T2DM. When stratified by study design, sample size, type of diabetes, geographic region, and study quality, significant associations remains. Our findings demonstrated that PGD is a strong risk-conferring factor for adverse maternal, perinatal and neonatal outcomes.
INTRODUCTION
Diabetes is one of the most common pre-existing maternal disorders and complicated approximately 1.3% of all pregnancies [1, 2]. Most women with pre-gestational diabetes (PGD) characterised by disturbance in glucose metabolism may be due to variable degrees of insulin resistance (type 2), or a consequence of autoimmune destruction of the pancreatic β-cells (type 1). With increasing numbers type 1 diabetes diagnosed among youth and high prevalence of obesity among women of child-bearing age [3–5], the demographic pattern of PGD is changing. Besides, the sex ratio of newly diagnosed type 2 diabetes among youth was remarkably skewed to female [6–8]. Therefore, continuous increase in diabetes rates in the global population will translate into higher prevalence of PGD eventually [9].
Women with PGD are associated with adverse pregnancy outcomes. Unfortunately, the goal of the St. Vincent Declaration has not yet been achieved despite intensive maternal and neonatal care [10]. Furthermore, PGD has also been associated with increased risk of maternal complications including shoulder dystocia, gestational hypertension, and pre-eclampsia [11–13], making pre-pregnancy care particularly glycaemic control and obstetrical interventions of great importance. More recent studies on PGD have reported various results: preterm delivery and stillbirth were still significantly increased in some studies [2, 14, 15] despite good metabolic control, while other studies [16–18] reported that PGD was no longer a significant factor. These conflicting results may be partly due to ethnic diversity, insufficient power, phenotypic heterogeneity, and even publication biases [19]. Until now, no quantitative assessment has focused on PGD with the risk various adverse pregnancy outcomes. Therefore, we conducted a comprehensive meta-analysis on all eligible studies to clarify this inconsistency and to establish a comprehensive picture of the relationship.
RESULTS
Characteristics of the included studies
A detailed flowchart of literature search is shown in Figure 1. We identified a total of 9650 citations from the databases and 2 from reference lists. After exclusion of duplicate reports and studies that did not meet our inclusion criteria, a total of 100 publications were finally included in this study. Main characteristics of the included studies were summarised in Supplementary Table 1. These eligible studies were published between 1993 and 2017, and included a total of 304,144 women with PGD and > 40 million non-diabetic populations. Almost all included studies were conducted in developed country, including 28 studies in the North American, 48 in Europe, 3 in East Asian, 11 in Oceania, 3 in Africa and 7 with subjects recruited from Middle East. 62 summarized results by two-by-two tables, whereas 38 reported adjusted risk estimates. As for methodological quality assessment, 47 studies were awarded ≥ 7 points, and 30 studies were awarded 5 to 6 points, indicating that the quality of included studies were of median-to-high quality. Almost all included studies recruited women with singleton pregnancy, and only two studies included women with twin pregnancy.
Figure 1: Flow diagram for selection and inclusion of studies.
Quantitative data synthesis
Figure 2 shows the summary OR estimates for adverse pregnancy outcomes comparing women with PGD with non-diabetic population.
Figure 2: Meta-analysis with a random-effect model for the association between pre-gestational diabetes and adverse pregnancy outcomes.
The adverse maternal outcomes were preterm delivery, very early preterm delivery, shoulder dystocia, caesarean section, pregnancy-induced hypertension (PIH) and pre-eclampsia. The risk of preterm delivery at or before 37 weeks was 3.48 (95%CI: 3.06-3.96, P<10-5), whereas the risk was 2.55 (95%CI: 2.21-2.94, P<10-5) for very early preterm delivery in women with PGD. There was significant difference in maternal hypertensive complications. Using a random-effects model, the pooled OR of PIH was OR=2.56 (95%CI: 2.04-3.21, P<10-5). In addition, mother with PGD have statistically significant association with pre-eclampsia (OR=3.48; 95%CI: 3.01-4.02, P<10-5). Furthermore, PGD conferred much higher risk of requiring caesarean section (OR=3.52; 95%CI: 2.91-4.25, P<10-5). In vaginal deliveries, the risk of shoulder dystocia occurred in infants delivered by pre-gestational diabetic mothers was much higher than control infants with an OR of 2.73 (95%CI: 2.12-3.52, P<10-5).
As for perinatal outcomes including macrosomia, LGA, SGA, LBW, stillbirth, perinatal mortality, and low Apgar scores, the risk for women with PGD giving birth to LGA babies was significantly higher than for women without diabetes (OR=3.90; 95%CI: 3.42-4.46, P<10-5). Similarly, women with PGD were more likely to have a macrosomic infant (OR=1.91; 95%CI: 1.74-2.10, P<10-5) and low birth weight babies than controls (OR=1.54; 95% CI: 1.45-1.64, P<10-5). In contrast, the risk of delivering an SGA infant was 0.86 (95%CI: 0.77-0.96, P=0.007). Women with PGD were more likely to have stillbirth (OR=3.52; 95%CI: 3.19-3.88, P<10-5); thus, perinatal mortality (OR=3.39; 95%CI: 3.02-3.81, P<10-5) risks for infants of PGD mothers were also significantly higher than in the nondiabetic population (Table 1).
Table 1: Associations of pre-gestational diabetes and adverse pregnancy outcomes
Outcomes | No. of datasets | Overall | No. of datasets | Cohort based study | No. of datasets | Non-Cohort based study | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
OR (95%CI) | P(Z) | P(Q) | OR (95%CI) | P(Z) | P(Q) | OR (95%CI) | P(Z) | P(Q) | ||||
Preterm delivery (< 37 weeks) | 55 | 3.48 (3.06-3.96) | <10-5 | <10-5 | 21 | 3.69 (3.12-4.36) | <10-5 | <10-5 | 34 | 3.36 (2.85-3.96) | <10-5 | <10-5 |
Very early preterm delivery (< 32 weeks) | 4 | 2.55 (2.21-2.94) | <10-5 | 0.22 | 4 | 2.55 (2.21-2.94) | <10-5 | 0.22 | NA | NA | NA | NA |
Macrosomia (> 4 kg) | 17 | 1.91 (1.74-2.10) | <10-5 | <10-5 | 6 | 1.98 (1.42-2.76) | <10-4 | <10-4 | 11 | 1.92 (1.77-2.08) | <10-5 | 0.002 |
Macrosomia (> 4.5 kg) | 4 | 2.59 (2.24-3.01) | <10-5 | 0.38 | 1 | 2.20 (1.56-3.11) | <10-5 | NA | 3 | 2.70 (2.32-3.14) | <10-5 | 0.38 |
LGA (>90th percentile) | 35 | 3.90 (3.42-4.46) | <10-5 | <10-5 | 16 | 3.79 (3.20-4.48) | <10-5 | <10-5 | 19 | 3.96 (3.22-4.87) | <10-5 | <10-5 |
LGA (> 2 SD) | 6 | 6.90 (4.76-10.02) | <10-5 | <10-5 | 3 | 8.06 (5.87-11.06) | <10-5 | <10-5 | 3 | 5.94 (3.99-8.85) | <10-5 | <10-5 |
LBW (<2500 g) | 12 | 1.54 (1.45-1.64) | <10-5 | 0.06 | 2 | 1.67 (1.46-1.91) | <10-5 | 0.33 | 9 | 1.51 (1.42-1.62) | <10-5 | 0.06 |
SGA (<10th percentile) | 20 | 0.86 (0.77-0.96) | 0.007 | <10-5 | 13 | 0.89 (0.78-1.00) | 0.06 | <10-5 | 7 | 0.81 (0.67-0.98) | 0.03 | 0.09 |
SGA (< 2 SD) | 4 | 0.83 (0.58-1.19) | 0.32 | 0.06 | 2 | 0.89 (0.54-1.48) | 0.65 | 0.05 | 2 | 0.69 (0.28-1.71) | 0.42 | 0.07 |
Perinatal mortality | 27 | 3.39 (3.02-3.81) | <10-5 | <10-4 | 11 | 3.67 (3.29-4.09) | <10-5 | 0.72 | 16 | 3.25 (2.70-3.92) | <10-5 | <10-4 |
Neonatal death | 19 | 2.26 (1.74-2.95) | <10-5 | 0.001 | 7 | 2.46 (1.99-3.05) | <10-5 | 0.70 | 12 | 2.28 (1.46-3.57) | <10-4 | <10-5 |
Stillbirth | 39 | 3.52 (3.19-3.88) | <10-5 | <10-4 | 19 | 3.85 (3.33-4.45) | <10-5 | 0.03 | 20 | 3.19 (2.87-3.55) | <10-5 | 0.19 |
PIH | 21 | 2.56 (2.04-3.21) | <10-5 | <10-5 | 11 | 2.27 (1.65-3.14) | <10-5 | <10-5 | 10 | 2.85 (2.06-3.94) | <10-5 | <10-5 |
Pre-eclampsia | 48 | 3.48 (3.01-4.02) | <10-5 | <10-5 | 30 | 3.59 (3.11-4.14) | <10-5 | <10-5 | 18 | 3.35 (2.52-4.45) | <10-5 | <10-5 |
Caesarean section | 42 | 3.52 (2.91-4.25) | <10-5 | <10-5 | 16 | 3.52 (2.69-4.61) | <10-5 | <10-5 | 26 | 3.51 (2.81-4.37) | <10-5 | <10-5 |
Shoulder dystocia | 16 | 2.73 (2.12-3.52) | <10-5 | <10-5 | 7 | 2.38 (1.92-2.95) | <10-5 | 0.08 | 9 | 2.82 (1.73-4.60) | <10-4 | <10-5 |
NICU admission | 14 | 3.92 (2.87-5.34) | <10-5 | <10-5 | 4 | 3.47 (0.78-15.37) | 0.10 | <10-5 | 10 | 3.95 (2.93-5.34) | <10-5 | <10-5 |
5-minutes Apgar score < 7 | 13 | 2.46 (2.08-2.92) | <10-5 | 0.01 | 5 | 2.32 (1.86-2.91) | <10-5 | 0.33 | 8 | 2.58 (2.03-3.27) | <10-5 | 0.004 |
Neonatal hypoglycemia | 11 | 26.62 (15.37-46.11) | <10-5 | <10-4 | 3 | 8.06 (4.51-14.41) | <10-5 | 0.09 | 8 | 54.59 (49.42-60.30) | <10-5 | 0.56 |
Respiratory distress | 8 | 2.09 (1.55-2.83) | 0.003 | 0.009 | 3 | 2.09 (0.80-5.43) | 0.13 | 0.003 | 5 | 2.00 (1.56-2.55) | 0.001 | 0.003 |
Jaundice | 6 | 2.82 (1.60-5.00) | <10-4 | 0.005 | 2 | 3.66 (1.88-7.13) | <10-4 | 0.04 | 4 | 2.28 (1.00-5.22) | 0.05 | 0.09 |
As for secondary neonatal outcomes, women with PGD were more likely than those of women without diabetes to have neonatal hypoglycaemia (OR=26.62; 95%CI: 15.37-46.11, P<10-5), neonatal death (OR=2.26; 95%CI: 1.74-2.95, P<10-5), jaundice (OR=2.82; 95%CI: 1.60-5.00, P<10-4) and to be admitted to an NICU (OR=3.92; 95%CI: 2.87-5.34, P<10-5). Similarly, the results showed a significant association of PGD mothers with increased risk of low 5-minute Apgar score (OR=2.46; 95%CI: 2.08-2.92, P<10-5), while the risk of delivering an infant with respiratory distress was 2.09 (95%CI: 1.55-2.83, P=0.003).
The association for 19 adverse outcomes were still highly significant, but SGA and respiratory distress were failed to pass Bonferroni correction for multiple testing in 21 outcomes.
Sources of heterogeneity
To explore the heterogeneity among studies of women with PGD and adverse pregnancy outcomes, we performed stratified analyses and meta-regression. The significant associations between PGD and risk of adverse pregnancy outcomes in almost all subgroup analyses defined by study design (Table 1), sample size, geographic region, and study quality (Supplementary Tables 2-4). To minimize bias from confounding, we limited the analysis to studies reporting adjusted estimates only, and results after adjustment appeared to have lower estimates than those not adjusting (Supplementary Table 5), although the results did not materially change. Some studies reported outcome data on women with PGD separating T1DM and T2DM. In comparison with women with T2DM, the association was somewhat stronger in women with T1DM for most of adverse pregnancy outcomes (Table 2). Meta-regression analyses were then conducted and find there was little evidence of heterogeneity between any of these subgroups (Supplementary Table 6).
Table 2: Associations of pre-gestational diabetes and adverse pregnancy outcomes stratified by type of diabetes
Outcomes | No. of datasets | T1DM | No. of datasets | T2DM | ||||
|---|---|---|---|---|---|---|---|---|
OR (95%CI) | P(Z) | P(Q) | OR (95%CI) | P(Z) | P(Q) | |||
Preterm delivery (< 37 weeks) | 15 | 4.36 (3.72-5.12) | <10-5 | <10-5 | 10 | 2.96 (2.13-4.10) | <10-5 | <10-4 |
Macrosomia (> 4 kg) | 5 | 2.10 (1.61-2.74) | <10-5 | 0.001 | 4 | 1.33 (0.82-2.17) | 0.25 | 0.01 |
LGA (> 90th percentile) | 8 | 4.61 (2.83-7.53) | <10-5 | <10-5 | 7 | 2.32 (1.48-3.64) | <10-4 | <10-4 |
SGA (< 10th percentile) | 7 | 0.68 (0.56-0.83) | <10-4 | 0.47 | 7 | 1.34 (0.98-1.82) | 0.07 | 0.28 |
Perinatal mortality | 14 | 3.80 (3.14-4.60) | <10-5 | 0.004 | 5 | 3.63 (2.84-4.65) | <10-5 | 0.36 |
Neonatal death | 8 | 2.73 (2.13-3.49) | <10-5 | 0.44 | 3 | 3.57 (1.87-6.80) | <10-4 | 0.37 |
Stillbirth | 12 | 3.97 (3.44-4.58) | <10-5 | 0.70 | 4 | 3.65 (1.59-8.42) | 0.002 | 0.14 |
PIH | 7 | 2.68 (1.85-3.89) | <10-5 | <10-5 | 6 | 1.66 (1.04-2.66) | 0.03 | 0.03 |
Pre-eclampsia | 10 | 4.19 (3.08-5.71) | <10-5 | <10-5 | 6 | 1.86 (0.99-3.51) | 0.06 | <10-4 |
Caesarean section | 17 | 3.97 (3.31-4.77) | <10-5 | <10-5 | 8 | 2.40 (1.79-3.21) | <10-5 | <10-4 |
Shoulder dystocia | 4 | 4.49 (2.16-9.30) | <10-5 | 0.001 | 4 | 2.01 (1.21-3.34) | 0.007 | 0.46 |
NICU admission | 4 | 3.95 (1.70-9.18) | 0.001 | <10-4 | 3 | 5.29 (1.13-24.66) | 0.03 | <10-4 |
5-minutes Apgar score < 7 | 5 | 2.55 (2.17-3.00) | <10-5 | 0.55 | 2 | 1.18 (0.49-2.85) | 0.72 | 0.46 |
Neonatal hypoglycemia | 5 | 33.53 (15.54-72.32) | <10-5 | <10-5 | 4 | 7.73 (3.82-15.65) | <10-5 | 0.27 |
Respiratory distress | 4 | 2.50 (1.86-3.37) | <10-5 | 0.22 | 2 | 1.25 (0.59-2.63) | 0.56 | 0.04 |
Jaundice | 3 | 3.13 (0.84-11.69) | 0.09 | 0.001 | 3 | 2.53 (1.46-4.38) | 0.001 | 0.29 |
Sensitivity analysis and publication bias
To assess the extent to which individual studies with extremely large ORs influenced the summary OR, we carried out a leave-one-out sensitivity analysis, in which one study at a time was excluded and the remaining were re-analysed. The results indicated that no individual study influenced the pooled OR qualitatively, suggesting robustness of the meta-analyses (Supplementary Figure 1). The visual inspection of funnel plots for adverse pregnancy outcomes and women with PGD displayed a symmetrical distribution (Supplementary Figure 2) and there was no evidence of small study effects with Egger’s test or with Begg’s test (P > 0.1 for all, Supplementary Table 7).
DISCUSSION
As the incidence of type 2 diabetes and obesity continues to increase, diabetes in pregnancy has emerged as a growing concern. Numerous of studies have investigated outcomes for women with PGD and reported inconsistent results. The current study is, as far as we know, the first meta-analysis confirmed that PGD, after adjustment for multiple outcomes, is associated with increased risk for a wide range of adverse pregnancy outcomes, including pregnancy-induced hypertension, pre-eclampsia, preterm delivery, macrosomia, LGA, low birthweight, stillbirth, perinatal mortality, neonatal death, neonatal hypoglycemia, jaundice, low 5-minute Apgar score, and caesarean section, but not SGA and respiratory distress. These complications have important implications for obstetrical outcomes, highlighting the importance of glycemic control.
Macrosomia or LGA remains a major perinatal concern for women with PGD [20]. High maternal glucose levels stimulated foetal insulin secretion and foetal overgrowth [21], delayed fetal lung maturation and neonatal hypoglycaemia [22]. LGA and macrosomia are also associated with short term health complications [23, 24] like shoulder dystocia, higher risk of caesarean section, and long term obesity and dysglycemia [25]. Even by optimal diabetes control, however, macrosomia may not be completely preventable in the 3rd trimester of pregnancy [26].
As stillbirths account for approximately 60% of perinatal mortality [27], we observed significantly increased risk of stillbirth and perinatal mortality on the PGD women compared with the non-diabetic. Accumulative evidences have suggested that chronic fetal hypoxia was the leading causes of stillbirth [28, 29], while maternal and fetal hyperglycemia was suggested as an etiology for antenatal asphyxia [30]. Preterm delivery was 3.4 times that of the control deliveries, which also contribute to neonatal morbidity and higher incidence of secondary neonatal outcomes such as admission to NICU, jaundice, low Apgar score. Therefore, a combination of identify the populations at risk with prenatal services and obstetric interventions is essential to reduce the incidence of stillbirths and perinatal mortality.
The results of the current study showed a considerable increased risk of hypertensive complications among women with PGD. Indeed, there is a direct relationship between abnormal glucose metabolism before pregnancy and the development of preeclampsia [31, 32], and the risk increases with the severity of the metabolic disturbance [33]. Furthermore, previous studies have reported that superimposed preeclampsia in women with PGD further increases the risk of adverse birth outcomes, including preterm birth, macrosomia, and delivery by caesarean section [34, 35], which influence stillbirths and neonatal deaths.
In sub-group analysis by study design, geographic region, sample size, adjustment, and study quality, consistent association results were observed although significant between-study heterogeneity remain. The presence of heterogeneity can result from infant sex, gestational age, alcohol use, smoking habits, obesity, previous obstetric history, glycaemic control and duration of diabetes exposure.
Glycemic disturbance is usually more severe in pregnant women with T1D than in those with T2D as difference in duration of diabetes exposure. Our results suggested that T1D has a greater impact compared with T2D in terms of adverse pregnancy outcomes, which was in general agreement with findings of previously published work [36]. In fact, several studies have reported a linear relationship between maternal glucose levels and adverse pregnancy outcomes [20, 37]. Besides, increased duration of diabetes has been associated with increase the risk of adverse pregnancy outcomes including preeclampsia [35], stillbirth [38]. Thus, adverse pregnancy outcomes might be more prevalent in women with T1D than in those with T2D.
The strength of this study lies in the fact that it summarizes adverse pregnancy outcomes in women with PGD based on > 40 million deliveries worldwide during more than 20 years. Different outcomes, study design, geographic regions, were represented and potential source of heterogeneity were systematically explored. Despite its originality and robust size, our study has several limitations. As failure to adjust for matching factors, multiple strata analyses were performed based on a fraction of all available data to be pooled. This may have introduced a selection bias and the results may be overinflated [39]. We were not able to obtain individual-level data, whereas a more precise analysis with adjustment of confounding factors could be conducted. However, the overall results pooled from adjusted estimate were in general agreement with those calculated from raw data. As most of studies have recruited individual from white, and studies of other ethnicities may have been underpowered. As differences in genetic background, life style and diabetes prevalence, studies with large sample size of East Asians or Africans are warranted to further validate results of present study.
In summary, our meta-analysis of 100 studies indicates that PGD may increase the risks of adverse maternal, perinatal and neonatal outcomes. As PGD becomes more common, there is a growing need for preventive measures including continuous glucose monitoring, dietary advice, and assessment of risk indicators to prevent development of adverse outcomes.
MATERIALS AND METHODS
The outcomes of interest were PGD related 21 type of adverse pregnancy outcomes including pregnancy-induced hypertension (PIH), pre-eclampsia (PE), preterm delivery (PTD, defined as prior to 37 completed weeks of gestation), very early PTD (VEPTD, defined as birth at < 32 weeks of gestation), macrosomia (defined as birthweight > 4000 g or > 4500 g), large for gestational age (LGA, defined as birthweight above the 90th percentile or 2 SD above the mean for normal fetal growth), small for gestational age (SGA, defined as birthweight below the 10th percentile or 2 SD below the mean for normal fetal growth), low birthweight (LBW, defined by birth weight of < 2500 g), admission to neonatal intensive care unit (NICU), stillbirth (defined as intrauterine fetal death after 20 weeks’ gestation), perinatal mortality (defined as stillbirth or death within the first 7 days of life), neonatal death (defined as death of a live born infant within the first 28 days of life), neonatal hypoglycemia, jaundice, respiratory distress, caesarean section, and low Apgar scores (defined as a score of less than 7 at 5 minutes after delivery).
Identification of relevant studies
We conducted a systematic computer-based search from databases including PubMed, ISI Web of Science, Cochrane Library, Embase and SCOPUS without language restriction. Search was limited to human studies, restricting our query to publications from January 1990 to February 2017. Search strategies were keywords relating PGD (pre-gestational diabetes OR pre-pregnancy diabetes OR type 1 diabetes OR insulin dependent diabetes mellitus OR type 2 diabetes OR non-insulin dependent diabetes mellitus) in combination with words related to various adverse pregnancy outcomes. In addition, references from retrieved studies were checked by a manual search for additional eligible studies. MOOSE (meta-analysis of observational studies in epidemiology) guidelines were followed in the present study [40].
Selection criteria and quality assessment
Studies were included if they fulfilled all of the following criteria: (1) providing evidence one women with PGD and risk of adverse pregnancy outcomes using cohort or case-control design; (2) original research with independent data; (3) with sufficient data to calculate odds ratio (OR) with its 95% confidence intervals (CIs) and P value, (4) identification of PGD patients was confirmed pathologically. The major reasons for exclusion of studies were (1) studies combing PGD with gestational diabetes, (2) case-only studies, (3) review paper, and (4) non-peer-reviewed articles. If the same population was reported in different studies, the study with the longest follow-up time or the most information was included. For included studies, a quantitative quality score according to Newcastle–Ottawa Scale was adapted to assess study methodology [41].
Data extraction
Relevant data was extracted independently by two reviewers. For each qualified study, the following variables were collected: the first author, published year, country, ethnicity, study design, identification of cases and controls, sample size, maternal obesity, mother’s age at birth, body mass index (BMI), duration of diabetes, type of pre-gestational diabetes (T1DM, T2DM), nulliparous, plurality (singleton, twins, high order multiple pregnancies), cigarette smoking, preconception care, maternal and perinatal outcomes. Where available, adjusted estimates with the most stringent adjustment for confounding variables were extracted. Other-wise, unadjusted ORs were calculated from the raw data presented in the paper. Disagreement in the review reports was resolved by further discussion between authors through consensus.
Statistical analysis
Since adverse pregnancy outcome of women with PGD is a relatively rare, Hazard ratio (HR), relative risk (RR) and rate ratio were treated as equivalent estimates of OR [42]. Random-effects model taking into account between-study variation [43] was used to compute a pooled OR. To assess qualitatively and quantitatively between-study heterogeneity, we calculated the Cochran Q and I2 statistics [44]. Subgroup analyses and meta-regression (i.e., study design, sample size, and geographic region) were performed to investigate potential sources of heterogeneity. Small-study effects, such as publication bias, was assessed using Egger’s test [45] and Begg’s test [46], with P < 0.10 considered significance due to limited power of the test. Sensitivity analyses were performed to explore possible explanations for heterogeneity, and to assess the stability of the results. All analyses were performed using the Stata software (Version 10.1; STATA Corp., College Station, TX, USA). Bonferroni correction was used to adjust our results for multiple outcomes testing (0.05/21 = 0.0024). Statistical significance was defined as two-sided at the P = 0.05 level.
CONFLICTS OF INTEREST
The authors confirm that this article content has no conflicts of interest.
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