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    Tests for predicting complications of pre-eclampsia: a protocol for systematic reviews. 
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    Tests for predicting complications of pre-eclampsia: a protocol for systematic reviews.

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    Published version (255.6Kb)
    Volume
    8
    Pagination
    38 - ?
    DOI
    10.1186/1471-2393-8-38
    Journal
    BMC Pregnancy Childbirth
    Metadata
    Show full item record
    Abstract
    BACKGROUND: Pre-eclampsia is associated with several complications. Early prediction of complications and timely management is needed for clinical care of these patients to avert fetal and maternal mortality and morbidity. There is a need to identify best testing strategies in pre eclampsia to identify the women at increased risk of complications. We aim to determine the accuracy of various tests to predict complications of pre-eclampsia by systematic quantitative reviews. METHOD: We performed extensive search in MEDLINE (1951-2004), EMBASE (1974-2004) and also will also include manual searches of bibliographies of primary and review articles. An initial search has revealed 19500 citations. Two reviewers will independently select studies and extract data on study characteristics, quality and accuracy. Accuracy data will be used to construct 2 x 2 tables. Data synthesis will involve assessment for heterogeneity and appropriately pooling of results to produce summary Receiver Operating Characteristics (ROC) curve and summary likelihood ratios. DISCUSSION: This review will generate predictive information and integrate that with therapeutic effectiveness to determine the absolute benefit and harm of available therapy in reducing complications in women with pre-eclampsia.
    Authors
    Thangaratinam, S; Coomarasamy, A; Sharp, S; O'Mahony, F; O'Brien, S; Ismail, KMK; Khan, KS
    URI
    http://qmro.qmul.ac.uk/xmlui/handle/123456789/14976
    Collections
    • Centre for Primary Care and Public Health [1467]
    Language
    eng
    Licence information
    © 2008 Thangaratinam et al; licensee BioMed Central Ltd.
    Copyright statements
    This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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