Evidence map›Paper›PMID 32268905›Full record

ArticleSystematic reviews2020

The ability of late pregnancy maternal tests to predict adverse pregnancy outcomes associated with placental dysfunction (specifically fetal growth restriction and pre-eclampsia): a protocol for a systematic review and meta-analysis of prognostic accuracy studies.

Melanie Griffin, Alexander E P Heazell, Lucy C Chappell, Jian Zhao, Deborah A Lawlor

Open access · goldAbstract read
In one paragraph

Article in Systematic reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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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

5 authors at 4 institutions in 1 country.

Melanie GriffinNIHR BRC Reproductive and Perinatal Health Group, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK. melanie.griffin@bristol.ac.uk.
Alexander E P HeazellTommy's Maternal and Fetal Research Centre, Manchester Academic Health Science Centre, Division of Developmental Biology and Medicine, Faculty of Biology, Medicine and Health, The University of Manchester, 5th Floor (Research), St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK.
Lucy C ChappellSchool of Life Course Sciences, King's College London, 10th Floor, North Wing, St Thomas' Hospital, Westminster Bridge Road, London, UK.
Jian ZhaoNIHR BRC Reproductive and Perinatal Health Group, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Deborah A LawlorNIHR BRC Reproductive and Perinatal Health Group, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
Perinatal Institute · GBKing's College London · GBManchester Academic Health Science Centre · GBOaks Hospital · GB

Funding

Department of Health RP-2014-05-019Medical Research Council MC_UU_00011/6
6 · The paper itself

Abstract

backgroundPre-eclampsia and being born small for gestational age are associated with significant maternal and neonatal morbidity and mortality. Placental dysfunction is a key pathological process underpinning these conditions; thus, markers of placental function have the potential to identify pregnancies ending in pre-eclampsia, fetal growth restriction, and the birth of a small for gestational age infant. PRIMARY

objectiveTo assess the predictive ability of late pregnancy (after 24 weeks' gestation) tests in isolation or in combination for adverse pregnancy outcomes associated with placental dysfunction, including pre-eclampsia, fetal growth restriction, delivery of a SGA infant (more specifically neonatal growth restriction), and stillbirth.

methodsStudies assessing the ability of biochemical tests of placental function and/or ultrasound parameters in pregnant women beyond 24 weeks' gestation to predict outcomes including pre-eclampsia, stillbirth, delivery of a SGA infant (including neonatal growth restriction), and/or fetal growth restriction will be identified by searching the following databases: EMBASE, MEDLINE, Cochrane CENTRAL, Web of Science, CINAHL, ISRCTN registry, UK Clinical Trials Gateway, and WHO International Clinical Trials Portal. Any study design in which the biomarker and ultrasound scan potential predictors have been assessed after 24 weeks' gestation but before diagnosis of outcomes (pre-eclampsia, fetal growth restriction, SGA (including neonatal growth restriction), and stillbirth) will be eligible (this would include randomized control trials and nested prospective case-control and cohort studies), and there will be no restriction on the background risk of the population. All eligible studies will be assessed for risk of bias using the modified QUADAS-2 tool. Meta-analyses will be undertaken using the ROC models to estimate and compare test discrimination and reclassification indices to test calibration. Validation will be explored by comparing consistency across studies. DISCUSSION: This review will assess whether current published data reporting either a single or combination of tests in late pregnancy can accurately predict adverse pregnancy outcome(s) associated with placental dysfunction. Accurate prediction could allow targeted management and possible intervention for high-risk pregnancies, ultimately avoiding adverse outcomes associated with placental disease. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018107049.

Indexed as

Placenta DiseasesPre-EclampsiaFemaleFetal Growth RetardationHumansInfant, NewbornMeta-Analysis as TopicPlacentaPregnancyPregnancy, High-RiskPregnancy OutcomePrognosisProspective StudiesSystematic Reviews as TopicBiomarkerFetal growth restriction (FGR)Neonatal growth restriction/growth restriction in the newborn (NGR)PlacentaPre-eclampsiaSmall for gestational age (SGA)StillbirthUltrasound

Identifiers

PMID32268905
PMCPMC7140577
OpenAlexW3016040126

What OpenQuestion holds

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Registered trials

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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.