Evidence map›Paper›PMID 36538562›Full record

ArticlePloS one2022

The impact of ultrasound-based antenatal screening strategies to detect vasa praevia in the United Kingdom: An exploratory study using decision analytic modelling methods.

Benjamin Ruban-Fell, George Attilakos, Tao Haskins-Coulter, Christopher Hyde, Jeanette Kusel, Anne Mackie, Oliver Rivero-Arias, Basky Thilaganathan, Nigel Thomson, Cristina Visintin and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
2.7field-weighted citation impact, top 10% 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, 7 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

11 authors at 7 institutions in 1 country.

Benjamin Ruban-FellCostello Medical, London, United Kingdom.ORCID 0000-0002-9040-1902
George AttilakosFetal Medicine Unit, University College London Hospital, London, United Kingdom.
Tao Haskins-CoulterCostello Medical, London, United Kingdom.
Christopher HydeExeter Test Group, Institute of Health Research, College of Medicine and Health, University of Exeter, St. Luke's Campus, Exeter, United Kingdom.
Jeanette KuselCostello Medical, London, United Kingdom.
Anne MackieNational Screening Committee, Public Health England, London, United Kingdom.
Oliver Rivero-AriasNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Basky ThilaganathanFetal Medicine Unit, St George's University Hospital NHS Foundation Trust and Molecular & Clinical Sciences Research Institute, St George's University of London, London, United Kingdom.
Nigel ThomsonThe Society and College of Radiographers, London, United Kingdom.
Cristina VisintinUK National Screening Committee, London, United Kingdom.
John MarshallUK National Screening Committee, London, United Kingdom.
Costello Medical Consulting (United Kingdom) · GBPublic Health England · GBRoyal College of Radiologists · GBSt George's, University of London · GBUniversity College Hospital · GBUniversity of Exeter · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this exploratory modelling study was to estimate the effects of second-trimester, ultrasound-based antenatal detection strategies for vasa praevia (VP) in a hypothetical cohort of pregnant women. For this, a decision-analytic tree model was developed covering four discrete detection pathways/strategies: no screening; screening targeted at women undergoing in-vitro fertilisation (IVF); screening targeted at women with low-lying placentas (LLP); screening targeted at women with velamentous cord insertion (VCI) or a bilobed or succenturiate (BL/S) placenta. Main outcome measures were the number of referrals to transvaginal sonography (TVS), diagnosed and undiagnosed cases of VP, overdetected cases of VCI, and VP-associated perinatal mortality. The greatest number of referrals to TVS occurred in the LLP-based (2,083) and VCI-based screening (1,319) pathways. These two pathways also led to the highest proportions of pregnancies diagnosed with VP (VCI-based screening: 552 [78.9% of all pregnancies]; LLP-based: 371 [53.5%]) and the lowest proportions of VP leading to perinatal death (VCI-based screening: 100 [14.2%]; LLP-based: 196 [28.0%]). In contrast, the IVF-based pathway resulted in 66 TVS referrals, 50 VP diagnoses (7.1% of all VP pregnancies), and 368 (52.6%) VP-associated perinatal deaths which was comparable to the no screening pathway (380 [54.3%]). The VCI-based pathway resulted in the greatest detection of VCI (14,238 [99.1%]), followed by the IVF-based pathway (443 [3.1%]); no VCI detection occurred in the LLP-based or no screening pathways. In conclusion, the model results suggest that a targeted LLP-based approach could detect a substantial proportion of VP cases, while avoiding VCI overdetection and requiring minimal changes to current clinical practice. High-quality data is required to explore the clinical and cost-effectiveness of this and other detection strategies further. This is necessary to provide a robust basis for future discussion about routine screening for VP.

Indexed as

Vasa PreviaFemaleHumansPlacentaPregnancyPrenatal DiagnosisUltrasonography, PrenatalUmbilical Cord

Identifiers

PMID36538562
PMCPMC9767376
OpenAlexW4312036826

What OpenQuestion holds

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LicenceCC BY
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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.