Global and regional estimates of preeclampsia and eclampsia: a systematic review

子痫 医学 子痫前期 入射(几何) 产科 比例(比率) 逻辑回归 怀孕 人口学 儿科 地理 内科学 地图学 社会学 光学 生物 遗传学 物理
作者
Edgardo Ábalos,Cristina Cuesta,Ana L. Grosso,Doris Chou,Lale Say
出处
期刊:European Journal of Obstetrics & Gynecology and Reproductive Biology [Elsevier BV]
卷期号:170 (1): 1-7 被引量:1297
标识
DOI:10.1016/j.ejogrb.2013.05.005
摘要

Reduction of maternal mortality is a target within the Millennium Development Goals. Data on the incidence of preeclampsia and eclampsia, one of the main causes of maternal deaths, are required at both national and regional levels to inform policies. We conducted a systematic review of the incidence of hypertensive disorders of pregnancy (HDP) with the objective of evaluating its magnitude globally and in different regions and settings. We selected studies using pre-specified criteria, recorded database characteristics and assessed methodological quality of the eligible studies reporting incidence of any HDP during the period 2002-2010. A logistic model was then developed to estimate the global and regional incidence of HDP using pre-specified predictor variables where empiric data were not available. We found 129 studies meeting the inclusion criteria, from which 74 reports with 78 datasets reporting HDP were analysed. This represents nearly 39 million women from 40 countries. When the model was applied, the overall estimates are 4.6% (95% uncertainty range 2.7-8.2), and 1.4% (95% uncertainty range 1.0-2.0) of all deliveries for preeclampsia and eclampsia respectively, with a wide variation across regions. The figures we obtained give a general idea of the magnitude of the problem and suggest that some regional variations might exist. The absence of data in many countries is of concern, however, and efforts should be made to implement data collection and reporting for substantial statistics. The implementation of large scale surveys conducted during a short period of time could provide more reliable and up-to-date estimations to inform policy.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
英姑应助xiexie采纳,获得10
刚刚
Manzia完成签到,获得积分10
1秒前
2秒前
Owen应助仙林AK47采纳,获得20
3秒前
英姑应助yang采纳,获得10
4秒前
Elaine完成签到 ,获得积分10
4秒前
xiaobai发布了新的文献求助10
5秒前
123完成签到,获得积分10
6秒前
孙雪松完成签到 ,获得积分10
9秒前
JamesPei应助扎心采纳,获得10
11秒前
14秒前
量子星尘发布了新的文献求助10
15秒前
yang完成签到,获得积分10
16秒前
Aran_Zhang应助科研通管家采纳,获得10
17秒前
在水一方应助科研通管家采纳,获得10
18秒前
zzzq应助科研通管家采纳,获得10
18秒前
小马甲应助科研通管家采纳,获得10
18秒前
小肥吴发布了新的文献求助10
18秒前
英姑应助科研通管家采纳,获得10
18秒前
科研通AI2S应助科研通管家采纳,获得10
18秒前
冰魂应助科研通管家采纳,获得10
18秒前
FashionBoy应助科研通管家采纳,获得10
18秒前
华仔应助科研通管家采纳,获得10
18秒前
18秒前
打打应助科研通管家采纳,获得10
18秒前
Jasper应助科研通管家采纳,获得10
19秒前
李健应助科研通管家采纳,获得10
19秒前
深情安青应助科研通管家采纳,获得10
19秒前
顾矜应助科研通管家采纳,获得50
19秒前
爆米花应助科研通管家采纳,获得10
19秒前
英姑应助科研通管家采纳,获得10
19秒前
Johnpick应助科研通管家采纳,获得10
19秒前
SciGPT应助科研通管家采纳,获得10
19秒前
19秒前
19秒前
19秒前
内向南风完成签到 ,获得积分10
20秒前
pito发布了新的文献求助10
20秒前
鹏1989发布了新的文献求助10
20秒前
xiexie完成签到,获得积分10
22秒前
高分求助中
【提示信息,请勿应助】请使用合适的网盘上传文件 10000
The Oxford Encyclopedia of the History of Modern Psychology 1500
Green Star Japan: Esperanto and the International Language Question, 1880–1945 800
Sentimental Republic: Chinese Intellectuals and the Maoist Past 800
The Martian climate revisited: atmosphere and environment of a desert planet 800
Parametric Random Vibration 800
城市流域产汇流机理及其驱动要素研究—以北京市为例 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3862864
求助须知:如何正确求助?哪些是违规求助? 3405478
关于积分的说明 10644599
捐赠科研通 3128975
什么是DOI,文献DOI怎么找? 1725532
邀请新用户注册赠送积分活动 831096
科研通“疑难数据库(出版商)”最低求助积分说明 779615