Evidence map›Paper›PMID 30804037›Full record

ArticleBMJ open2019

Aspirin and heparin for the prevention of pre-eclampsia: protocol for a systematic review and network meta-analysis.

Jinzhu Huang, Xiaohong Chen, Haiyan Xing, Lin Chen, Zhaolu Xie, Shuangshuang He, Xiaofang Wang, Yong Li, Huanhuan Cui, Jianhong Chen

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 1 country.

Jinzhu Huang *Department of Pharmacy, Daping Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Xiaohong Chen *Department of Pharmacy, Chongqing Health Center for Women and Children, Chongqing, China.
Haiyan Xing *Department of Pharmacy, Daping Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Lin ChenDepartment of Pharmacy, Chongqing Health Center for Women and Children, Chongqing, China.
Zhaolu XieDepartment of Pharmacy, Daping Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Shuangshuang HeDepartment of Pharmacy, Daping Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Xiaofang WangDepartment of Laboratory Medicine, Key Laboratory of Diagnostic Medicine (Ministry of Education), Chongqing Medical University, Chongqing, China.
Yong LiDepartment of Pharmacy, Puai Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huanhuan CuiCentre for Drug Evaluation, China Food and Drug Administration, Beijing, China.
Jianhong ChenDepartment of Pharmacy, Daping Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Army Medical University · CNDaping Hospital · CNChongqing Medical University · CNHuazhong University of Science and Technology · CNNational Medical Products Administration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPre-eclampsia is an important cause of death and complication for pregnant women and perinatal infant. Low-dose aspirin has been most commonly used to prevent pre-eclampsia in high-risk pregnant women. Recently, heparins have also been used alone or in combination with aspirin to prevent pre-eclampsia. However, the optimal doses and combination therapy of aspirin and heparins are not well established. Therefore, we aim to compare aspirin, heparins and their combination to prevent pre-eclampsia in a network meta-analysis. METHODS AND ANALYSIS: We will search the following electronic databases from the date of database establishment to 8 January 2019: PubMed, Embase, Cochrane Library, Web of Science and ProQuest. We will also search additional studies manually. There will be no restriction on the language of publications. Only randomised clinical trials will be eligible in our network meta-analysis. We will include pregnant women who have been recommended for aspirin according to the standard of the American Congress of Obstetricians and Gynecologists, or were designated as high risk in some recent studies. We will include studies comparing the effects of any single or combination of aspirin and heparins with placebo or observation or another intervention in pregnancy. We will include studies that reported one of the following outcomes: pre-eclampsia, severe pre-eclampsia, preterm delivery, perinatal death and full-term pre-eclampsia with delivery at ≥37 weeks. Traditional pairwise meta-analysis will be performed initially, and then network meta-analysis will be performed using frequency analysis method. Subgroup analyses and sensitivity analyses will be conducted to assess the robustness of the findings. ETHICS AND DISSEMINATION: This network meta-analysis does not require ethical certification. An overview and information on the prevention of pre-eclampsia in high-risk pregnant women will be provided by this network meta-analysis. PROSPERO REGISTRATION NUMBER: CRD42018084248.

Indexed as

AspirinFemaleHeparinHumansInfant, NewbornNetwork Meta-Analysis as TopicPre-EclampsiaPregnancyPregnancy ComplicationsPregnancy OutcomeRandomized Controlled Trials as TopicResearch DesignSystematic Reviews as TopicAspirinHeparinaspirinheparinpreeclampsiapregnant woman

Identifiers

PMID30804037
PMCPMC6443197
OpenAlexW2916366502

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.