Chekole Fentahun Alemnew, Tesfu Azimeraw Arega, Beyene Fentahun Yenealem, Balcha Wondu Feyisa
Department of Midwifery, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
J Health Popul Nutr. 2025 May 6;44(1):146. doi: 10.1186/s41043-025-00904-4.
The World Health Organization defines low birth weight as a birth weight of less than 2500 g, regardless of the gestational age. It is regarded as the most significant predictor of infant mortality overall, particularly for deaths that occur in the first few months of life. Among all the months of a person's existence, the neonatal period, the first month of life, has one of the highest death rates. The necessity for an umbrella review is highlighted by the lack of a comprehensive synthesis of collective meta-analytic evidence connecting antenatal care as a factor of low birth weight and newborn death. Thus, this umbrella review's main goal is to thoroughly synthesize the existing meta-analytic evidence, with a focus on assessing the relationship between antenatal care with low birth weight and neonatal mortality.
All English-language meta-analyses of cohort, case-control, and cross-sectional studies that looked at the relationship between antenatal care with low birth weight and neonatal mortality will be included, regardless of the time and location of publication. To find pertinent literature for review, major medical electronic databases including Embase, CINAHL, Cochrane database, and PubMed will be used. Two reviewers will screen the eligible articles, extract data, and evaluate their quality independently. The reviewers will work together to reach a consensus on any disagreements. If there are still issues, a third reviewer will be consulted in order to fix them. The meta-umbrella R package will be used for all statistical analysis. The random-effects model and 95% prediction interval for the summary estimate will be used for both outcomes. Q and I test statistics will be calculated to determine the degree of heterogeneity. We will use Egger's regression asymmetry test to assess publication bias, the Ioannidis test for excess significance bias, and Hedges' g value for each risk factor.
This is the first comprehensive analysis of the effect of antenatal care on low birth weight and neonatal mortality that we are aware of. For clinicians and researchers seeking to lower low birth weight and neonatal mortality, summarizing this evidence is helpful.
PROSPERO-CRD42024567150.
世界卫生组织将低出生体重定义为出生体重低于2500克,无论其孕周如何。它被视为婴儿总体死亡率的最重要预测因素,尤其是对于出生后头几个月发生的死亡。在人的整个生命阶段中,新生儿期,即生命的第一个月,是死亡率最高的时期之一。由于缺乏将产前护理作为低出生体重和新生儿死亡因素的集体荟萃分析证据的全面综合,因此突出了进行一项汇总分析的必要性。因此,本汇总分析的主要目标是全面综合现有的荟萃分析证据,重点是评估产前护理与低出生体重和新生儿死亡率之间的关系。
将纳入所有关于产前护理与低出生体重和新生儿死亡率之间关系的队列研究、病例对照研究和横断面研究的英文荟萃分析,无论其发表时间和地点。将使用包括Embase、CINAHL、Cochrane数据库和PubMed在内的主要医学电子数据库来查找相关文献进行综述。两名评审员将筛选符合条件的文章,提取数据并独立评估其质量。评审员将共同努力就任何分歧达成共识。如果仍然存在问题,将咨询第三位评审员以解决这些问题。所有统计分析将使用meta-umbrella R包。两种结果均将使用随机效应模型和汇总估计的95%预测区间。将计算Q和I检验统计量以确定异质性程度。我们将使用Egger回归不对称检验来评估发表偏倚,使用Ioannidis检验来评估过度显著性偏倚,并为每个风险因素计算Hedges' g值。
据我们所知,这是对产前护理对低出生体重和新生儿死亡率影响的首次全面分析。总结这些证据对寻求降低低出生体重和新生儿死亡率的临床医生和研究人员很有帮助。
PROSPERO-CRD42024567150。