Evidence map›Paper›PMID 31240854›Full record

Trial reportBJOG : an international journal of obstetrics and gynaecology2019

Placental growth factor testing for suspected pre-eclampsia: a cost-effectiveness analysis.

K E Duhig, P T Seed, J E Myers, R Bahl, G Bambridge, S Barnfield, J Ficquet, J C Girling, A Khalil, A H Shennan and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BJOG : an international journal of obstetrics and gynaecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Placental growth factor testing for suspected pre-eclampsia: a cost-effectiveness analysis.BJOG : an international journal of obstetrics and gynaecology · 2019
    Trial
  7. Article
  8. Article
  9. Article
  10. Combined Effects of Methyldopa and Baicalein orPharmaceuticals (Basel, Switzerland) · 2022
    Article
  11. Diagnosis and Management of Preeclampsia: Suggested Guidance on the Use of Biomarkers.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022
    Review
  12. Article
  13. Review
  14. Review
  15. Unravelling the potential of angiogenic factors for the early prediction of preeclampsia.Hypertension research : official journal of the Japanese Society of Hypertension · 2021
    Review
  16. Article
  17. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

K E DuhigDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
P T SeedDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
J E MyersThe Division of Developmental Biology and Medicine, University of Manchester, Manchester, UK.
R BahlUniversity Hospitals Bristol NHS Foundation Trust, Bristol, UK.
G BambridgeKingston Hospital NHS Foundation Trust, Kingston upon Thames, UK.
S BarnfieldNorth Bristol NHS Trust, Bristol, UK.
J FicquetRoyal United Hospitals Bath, Bath, UK.
J C GirlingWest Middlesex University Hospital, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK.
A KhalilFetal Medicine Unit, St George's Hospital, St George's University of London, London, UK.
A H ShennanDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
L C ChappellDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
R M HunterResearch Department of Primary Care and Population Health, University College London, London, UK.

Funding

Department of Health 12/25/03Department of Health NIHR-CS-011-020Department of Health PB-PG-0214-33054Department of Health RP-2014-05-019National Institute for Health Research Professorship RP-2014-05-019National Institute for Health Research, Research for Patient Benefit Programme PB-PG-0214-33054
6 · The paper itself

Abstract

objectiveTo calculate the cost-effectiveness of implementing PlGF testing alongside a clinical management algorithm in maternity services in the UK, compared with current standard care.

designCost-effectiveness analysis.

settingEleven maternity units participating in the PARROT stepped-wedge cluster-randomised controlled trial. POPULATION: Women presenting with suspected pre-eclampsia between 20

methodsMonte Carlo simulation utilising resource use data and maternal adverse outcomes.

main outcome measuresCost per maternal adverse outcome prevented.

resultsClinical care with PlGF testing costs less than current standard practice and resulted in fewer maternal adverse outcomes. There is a total cost-saving of UK£149 per patient tested, when including the cost of the test. This represents a potential cost-saving of UK£2,891,196 each year across the NHS in England.

conclusionsClinical care with PlGF testing is associated with the potential for cost-savings per participant tested when compared with current practice via a reduction in outpatient attendances, and improves maternal outcomes. This economic analysis supports a role for implementation of PlGF testing in antenatal services for the assessment of women with suspected pre-eclampsia. TWEETABLE ABSTRACT: Placental growth factor testing for suspected pre-eclampsia is cost-saving and improves maternal outcomes.

Indexed as

AdultBiomarkersCluster AnalysisCost-Benefit AnalysisDiagnostic Techniques, Obstetrical and GynecologicalFemaleGestational AgeHumansModels, EconomicPlacenta Growth FactorPre-EclampsiaPregnancyPregnancy ComplicationsPregnancy OutcomeUnited KingdomBiomarkersPGF protein, humanPlacenta Growth FactorEconomic analysisplacental growth factorpre-eclampsia

Identifiers

PMID31240854
PMCPMC6771855

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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.