Evidence map›Paper›PMID 33048935›Full record

SynthesisPLoS medicine2020

Universal third-trimester ultrasonic screening using fetal macrosomia in the prediction of adverse perinatal outcome: A systematic review and meta-analysis of diagnostic test accuracy.

Alexandros A Moraitis, Norman Shreeve, Ulla Sovio, Peter Brocklehurst, Alexander E P Heazell, Jim G Thornton, Stephen C Robson, Aris Papageorghiou, Gordon C Smith

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05043753 (Department of Obstetrics and Gynecology Modena Policlinico Hospital Vial Del Pozzo 71, 41125 Modena), which is not on this map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 6% 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.

NCT05043753 narecruitingnot on this mapstarted 2024, after this paper: background citation

Department of Obstetrics and Gynecology Modena Policlinico Hospital Vial Del Pozzo 71, 41125 Modena

TypeinterventionalSponsorUniversity of Modena and Reggio EmiliaRan2024 to 2025Enrolled1,566ConditionsSmall for Gestational Age Infant, Large for Gestational Age Infant, Oligohydramnios, PolyhydramniosArmsPoint of care ultrasound to measure the fetal abdominal circumference (POC-US-AC)
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Machine learning-based prediction of large-for-gestational-age neonates in diabetic and non-diabetic pregnancies.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    Article
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  10. Review
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  14. Derivation and assessment of a sex-specific fetal growth standard.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2022
    Observational
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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

9 authors at 6 institutions in 1 country.

Alexandros A MoraitisDepartment of Obstetrics and Gynaecology, University of Cambridge, NIHR Cambridge Comprehensive Biomedical Research Centre, Cambridge, United Kingdom.ORCID 0000-0003-4634-1129
Norman ShreeveDepartment of Obstetrics and Gynaecology, University of Cambridge, NIHR Cambridge Comprehensive Biomedical Research Centre, Cambridge, United Kingdom.
Ulla SovioDepartment of Obstetrics and Gynaecology, University of Cambridge, NIHR Cambridge Comprehensive Biomedical Research Centre, Cambridge, United Kingdom.ORCID 0000-0002-0799-1105
Peter BrocklehurstBirmingham Clinical Trials Unit, University of Birmingham, Birmingham, United Kingdom.ORCID 0000-0002-9950-6751
Alexander E P HeazellMaternal and Fetal Health Research Centre, School of Medical Sciences, Faculty of Biological, Medical and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom.ORCID 0000-0002-4303-7845
Jim G ThorntonDivision of Child Health, Obstetrics and Gynaecology, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0001-9764-6876
Stephen C RobsonReproductive and Vascular Biology Group, The Medical School, University of Newcastle, Newcastle, United Kingdom.ORCID 0000-0001-7897-7987
Aris PapageorghiouNuffield Department of Obstetrics and Gynaecology, Oxford, United Kingdom.
Gordon C SmithDepartment of Obstetrics and Gynaecology, University of Cambridge, NIHR Cambridge Comprehensive Biomedical Research Centre, Cambridge, United Kingdom.
University of Cambridge · GBCancer Research UK Clinical Trials Unit · GBManchester Academic Health Science Centre · GBNewcastle University · GBNuffield Orthopaedic Centre · GBUniversity of Nottingham · GB

Funding

Department of Health 15/105/01Medical Research Council MR/P01271X/1
6 · The paper itself

Abstract

backgroundThe effectiveness of screening for macrosomia is not well established. One of the critical elements of an effective screening program is the diagnostic accuracy of a test at predicting the condition. The objective of this study is to investigate the diagnostic effectiveness of universal ultrasonic fetal biometry in predicting the delivery of a macrosomic infant, shoulder dystocia, and associated neonatal morbidity in low- and mixed-risk populations. METHODS AND

findingsWe conducted a predefined literature search in Medline, Excerpta Medica database (EMBASE), the Cochrane library and ClinicalTrials.gov from inception to May 2020. No language restrictions were applied. We included studies where the ultrasound was performed as part of universal screening and those that included low- and mixed-risk pregnancies and excluded studies confined to high risk pregnancies. We used the estimated fetal weight (EFW) (multiple formulas and thresholds) and the abdominal circumference (AC) to define suspected large for gestational age (LGA). Adverse perinatal outcomes included macrosomia (multiple thresholds), shoulder dystocia, and other markers of neonatal morbidity. The risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Meta-analysis was carried out using the hierarchical summary receiver operating characteristic (ROC) and the bivariate logit-normal (Reitsma) models. We identified 41 studies that met our inclusion criteria involving 112,034 patients in total. These included 11 prospective cohort studies (N = 9986), one randomized controlled trial (RCT) (N = 367), and 29 retrospective cohort studies (N = 101,681). The quality of the studies was variable, and only three studies blinded the ultrasound findings to the clinicians. Both EFW >4,000 g (or 90th centile for the gestational age) and AC >36 cm (or 90th centile) had >50% sensitivity for predicting macrosomia (birthweight above 4,000 g or 90th centile) at birth with positive likelihood ratios (LRs) of 8.74 (95% confidence interval [CI] 6.84-11.17) and 7.56 (95% CI 5.85-9.77), respectively. There was significant heterogeneity at predicting macrosomia, which could reflect the different study designs, the characteristics of the included populations, and differences in the formulas used. An EFW >4,000 g (or 90th centile) had 22% sensitivity at predicting shoulder dystocia with a positive likelihood ratio of 2.12 (95% CI 1.34-3.35). There was insufficient data to analyze other markers of neonatal morbidity.

conclusionsIn this study, we found that suspected LGA is strongly predictive of the risk of delivering a large infant in low- and mixed-risk populations. However, it is only weakly (albeit statistically significantly) predictive of the risk of shoulder dystocia. There was insufficient data to analyze other markers of neonatal morbidity.

Indexed as

Birth WeightDiagnostic Tests, RoutineFemaleFetal MacrosomiaFetal WeightGestational AgeHumansMass ScreeningNoninvasive Prenatal TestingParturitionPregnancyPregnancy ComplicationsPregnancy Trimester, ThirdProspective StudiesRetrospective StudiesUltrasonics

Identifiers

PMID33048935
PMCPMC7553291
OpenAlexW3092599023

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.