Evidence map›Paper›PMID 33153436›Full record

ArticleBMC pregnancy and childbirth2020

Placental growth factor for the prognosis of women with preeclampsia (fullPIERS model extension): context matters.

U Vivian Ukah, Beth A Payne, Jennifer A Hutcheon, Lucy C Chappell, Paul T Seed, Frances Inez Conti-Ramsden, J Mark Ansermino, Laura A Magee, Peter von Dadelszen, fullPIERS Group

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Biomolecular Markers of Recurrent Implantation Failure-A Review.International journal of molecular sciences · 2021
    Review
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

10 authors.

U Vivian UkahDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, H3A 1A2, Canada. Vivian.Ukah@mail.mcgill.ca.ORCID http://orcid.org/0000-0001-5963-6474
Beth A PayneBC Children's Hospital Research Institute, Vancouver, BC, Canada.
Jennifer A HutcheonBC Children's Hospital Research Institute, Vancouver, BC, Canada.
Lucy C ChappellDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
Paul T SeedDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
Frances Inez Conti-RamsdenDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
J Mark AnserminoBC Children's Hospital Research Institute, Vancouver, BC, Canada.
Laura A MageeDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
Peter von DadelszenDepartment of Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.
fullPIERS Group

Funding

CIHR FRN#136985Department of Health RP-2014-05-019
6 · The paper itself

Abstract

backgroundThe fullPIERS risk prediction model was developed to identify which women admitted with confirmed diagnosis of preeclampsia are at highest risk of developing serious maternal complications. The model discriminates well between women who develop (vs. those who do not) adverse maternal outcomes. It has been externally validated in several populations. We assessed whether placental growth factor (PlGF), a biomarker associated with preeclampsia risk, adds incremental value to the fullPIERS model.

methodsUsing a cohort of women admitted into tertiary hospitals in well-resourced settings (the USA and Canada), between May 2010 to February 2012, we evaluated the incremental value of PlGF added to fullPIERS for prediction of adverse maternal outcomes within 48 h after admission with confirmed preeclampsia. The discriminatory performance of PlGF and the fullPIERS model were assessed in this cohort using the area under the receiver's operating characteristic curve (AUROC) while the extended model (fullPIERS +PlGF) was assessed based on net reclassification index (NRI) and integrated discrimination improvement (IDI) performances.

resultsIn a cohort of 541 women delivered shortly (< 1 week) after presentation, 8.1% experienced an adverse maternal outcome within 48 h of admission. Prediction of adverse maternal outcomes was not improved by addition of PlGF to fullPIERS (NRI: -8.7, IDI - 0.06). Discriminatory performance (AUROC) was 0.67 [95%CI: 0.59-0.75] for fullPIERS only and 0.67 [95%CI: 0.58-0.76]) for fullPIERS extended with PlGF, a performance worse than previously documented in fullPIERS external validation studies (AUROC > 0.75).

conclusionsWhile fullPIERS model performance may have been affected by differences in healthcare context between this study cohort and the model development and validation cohorts, future studies are required to confirm whether PlGF adds incremental benefit to the fullPIERS model for prediction of adverse maternal outcomes in preeclampsia in settings where expectant management is practiced.

Indexed as

AdultBiomarkersFemaleHumansMaternal DeathModels, StatisticalPlacenta Growth FactorPre-EclampsiaPregnancyPregnancy OutcomePrognosisProspective StudiesPuerperal DisordersRisk AssessmentRisk FactorsROC CurveBiomarkersPGF protein, humanPlacenta Growth FactorHypertensionMaternal healthModel extensionPlacental growth factorPredictionPreeclampsiaPrognosis

Identifiers

PMID33153436
PMCPMC7643272

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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.