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研究方案:孕期基于饮食和身体活动的干预措施对母婴结局的差异影响——个体患者数据(IPD)荟萃分析及健康经济评估。

Study protocol: differential effects of diet and physical activity based interventions in pregnancy on maternal and fetal outcomes--individual patient data (IPD) meta-analysis and health economic evaluation.

作者信息

Ruifrok Anneloes E, Rogozinska Ewelina, van Poppel Mireille N M, Rayanagoudar Girish, Kerry Sally, de Groot Christianne J M, Yeo SeonAe, Molyneaux Emma, McAuliffe Fionnuala M, Poston Lucilla, Roberts Tracy, Riley Richard D, Coomarasamy Arri, Khan Khalid, Mol Ben Willem, Thangaratinam Shakila

机构信息

School of Health and Population Sciences, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.

出版信息

Syst Rev. 2014 Nov 4;3:131. doi: 10.1186/2046-4053-3-131.

Abstract

BACKGROUND

Pregnant women who gain excess weight are at risk of complications during pregnancy and in the long term. Interventions based on diet and physical activity minimise gestational weight gain with varied effect on clinical outcomes. The effect of interventions on varied groups of women based on body mass index, age, ethnicity, socioeconomic status, parity, and underlying medical conditions is not clear. Our individual patient data (IPD) meta-analysis of randomised trials will assess the differential effect of diet- and physical activity-based interventions on maternal weight gain and pregnancy outcomes in clinically relevant subgroups of women.

METHODS/DESIGN: Randomised trials on diet and physical activity in pregnancy will be identified by searching the following databases: MEDLINE, EMBASE, BIOSIS, LILACS, Pascal, Science Citation Index, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Database of Abstracts of Reviews of Effects, and Health Technology Assessment Database. Primary researchers of the identified trials are invited to join the International Weight Management in Pregnancy Collaborative Network and share their individual patient data. We will reanalyse each study separately and confirm the findings with the original authors. Then, for each intervention type and outcome, we will perform as appropriate either a one-step or a two-step IPD meta-analysis to obtain summary estimates of effects and 95% confidence intervals, for all women combined and for each subgroup of interest. The primary outcomes are gestational weight gain and composite adverse maternal and fetal outcomes. The difference in effects between subgroups will be estimated and between-study heterogeneity suitably quantified and explored. The potential for publication bias and availability bias in the IPD obtained will be investigated. We will conduct a model-based economic evaluation to assess the cost effectiveness of the interventions to manage weight gain in pregnancy and undertake a value of information analysis to inform future research.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO 2013: CRD42013003804.

摘要

背景

孕期体重增加过多的孕妇在孕期及长期都有发生并发症的风险。基于饮食和体育活动的干预措施可使孕期体重增加最小化,但对临床结局的影响各不相同。基于体重指数、年龄、种族、社会经济地位、产次及基础疾病等因素,干预措施对不同女性群体的影响尚不清楚。我们对随机试验进行的个体患者数据(IPD)荟萃分析将评估基于饮食和体育活动的干预措施对临床上相关女性亚组孕妇体重增加及妊娠结局的差异影响。

方法/设计:通过检索以下数据库来识别关于孕期饮食和体育活动的随机试验:医学文献数据库(MEDLINE)、荷兰医学文摘数据库(EMBASE)、生物学文摘数据库(BIOSIS)、拉丁美洲及加勒比地区卫生科学数据库(LILACS)、法国科研及技术文献数据库(Pascal)、科学引文索引数据库(Science Citation Index)、考克兰系统评价数据库(Cochrane Database of Systematic Reviews)、考克兰对照试验中心注册库(Cochrane Central Register of Controlled Trials)、循证医学数据库(Database of Abstracts of Reviews of Effects)及卫生技术评估数据库(Health Technology Assessment Database)。邀请所识别试验的主要研究者加入国际孕期体重管理协作网络并分享其个体患者数据。我们将分别对每项研究进行重新分析,并与原作者确认研究结果。然后,对于每种干预类型和结局,我们将酌情进行单步或两步IPD荟萃分析,以获得所有女性合并及各感兴趣亚组效应的汇总估计值和95%置信区间。主要结局为孕期体重增加以及孕产妇和胎儿综合不良结局。将估计亚组之间的效应差异,并对研究间异质性进行适当量化和探讨。将调查所获得的IPD中发表偏倚和可获得性偏倚的可能性。我们将进行基于模型的经济评估,以评估孕期体重管理干预措施的成本效益,并进行信息价值分析,为未来研究提供参考。

系统评价注册

国际系统评价前瞻性注册库(PROSPERO)2013年注册号:CRD42013003804。

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