ArticleBMJ open2019
Pharmacological interventions for the prevention of fetal growth restriction: protocol for a systematic review and network meta-analysis.
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 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 10 citations in OpenAlex.
- Maternal gut Bifidobacterium breve modifies fetal brain metabolism in germ-free mice.Molecular metabolism · 2024Article
- Potential effects of transdermal nitric oxide donor on fetal growth restriction and oligohydramnios: A case report.Clinical case reports · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionFetal growth restriction (FGR) includes different conditions in which a fetus fails to reach the own full growth, and accounts for 28%-45% of non-anomalous stillbirths. The management of FGR is based on the prolongation of pregnancy long enough for fetal organs to mature while preventing starvation. As for pharmacological management, most guidelines recommend treatment with low-dose aspirin and/or with heparin, although this approach is still controversial and innovative promising therapies are under investigation. As no firm evidence exists to guide clinicians towards the most effective therapeutic intervention, this protocol describes methods for a systematic review and network meta-analysis (NetMA) of pharmacological treatments for FGR prevention. METHODS AND ANALYSIS: We will search MEDLINE and Embase for clinical trials and observational studies performed on gestating women with clinically diagnosed risk of FGR. Experimental interventions will include heparin and low-molecular-weight heparin, acetylsalicylic acid, antiplatelet agents, phosphodiesterase type 3 and 5 inhibitors, maternal vascular endothelial growth factor gene therapy, nanoparticles, microRNA, statins, nitric oxide donors, hydrogen sulphide, proton pump inhibitors, melatonin, creatine and N-acetylcysteine, and insulin-like growth factors, compared between each other or to placebo or no treatment. Primary efficacy outcome is FGR. Secondary efficacy outcomes will be preterm birth, fetal or neonatal death and neonatal complications. For the safety outcome, all adverse events reported in included studies and experienced by either mothers, fetuses or newborns will be considered. Two review authors will independently screen title, abstract and full paper text, and will independently extract data from included studies. Where possible and appropriate, for primary and secondary efficacy outcomes, a NetMA will be performed using a random-effects model within a frequentist framework. Adverse events will be narratively described. ETHICS AND DISSEMINATION: Results will be disseminated through a peer-reviewed scientific journal, and by scientific congresses and meetings. PROSPERO REGISTRATION NUMBER: CRD42019122831.
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Registered trials
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.