Evidence map›Paper›PMID 26583938›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2016

Analysis of changes in maternal circulating angiogenic factors throughout pregnancy for the prediction of preeclampsia.

M C Honigberg, D E Cantonwine, A M Thomas, K-H Lim, S I Parry, T F McElrath

Registry-linked trialAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03441711 (The Utility of the sFlt-1/PlGF Ratio in Diagnosing Superimposed Preeclampsia and Predicting Adverse Outcomes in Subjects With Chronic Hypertension), which is not on this map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 15% 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.

NCT03441711 completednot on this map

The Utility of the sFlt-1/PlGF Ratio in Diagnosing Superimposed Preeclampsia and Predicting Adverse Outcomes in Subjects With Chronic Hypertension

TypeobservationalSponsorUniversity of TennesseeRan2016 to 2020Enrolled87ConditionsPreeclampsia
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Predicting Preterm Birth Using Proteomics.Clinics in perinatology · 2024
    Review
  6. Peripartum Cardiomyopathy: Risks Diagnosis and Management.Journal of multidisciplinary healthcare · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Genetic markers for preeclampsia in Peruvian women.Colombia medica (Cali, Colombia) · 2021
    Article
  12. Review
  13. Article
  14. Article
  15. Infant size and the association between maternal circulating angiogenic factors and preeclampsia.Journal of perinatology : official journal of the California Perinatal Association · 2018
    Article
  16. Immunology of hepatic diseases during pregnancy.Seminars in immunopathology · 2016
    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

6 authors at 3 institutions in 1 country.

M C HonigbergDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
D E CantonwineDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
A M ThomasDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
K-H LimDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
S I ParryDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
T F McElrathDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Brigham and Women's Hospital · USHarvard University · USHospital of the University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess whether changes in maternal angiogenic factors throughout pregnancy predict the development of preeclampsia. STUDY

designPlacental growth factor (PlGF) and soluble fms-like tyrosine kinase 1 receptor (sFlt-1) were measured in 2355 women at 10, 18, 26 and 35 weeks gestation. Receiver operator characteristic analysis was used to calculate test characteristics for changes in analytes between time points. Linear mixed-effects models generated slopes of analytes throughout pregnancy, which in turn were used as predictors in adjusted logistic regression models.

resultChanges in analytes yielded positive predictive values of 9 to 19% and negative predictive values of 93 to 97%. Individuals with lowest quartile slopes in PlGF had sixfold greater odds (95% confidence interval (CI): 3.5, 10.2) of preeclampsia compared with individuals in the highest quartile. With respect to sFlt-1, the highest quartile had 5.1 times greater odds (95% CI: 3.1, 8.4) than the lowest quartile.

conclusionMeasuring the trend in PlGF and sFlt-1 across pregnancy segregates women at increased risk of preeclampsia. However, changes in these factors throughout pregnancy lack clinically useful predictive power.

Indexed as

AdultBiomarkersFemaleGestational AgeHumansLogistic ModelsPlacenta Growth FactorPre-EclampsiaPregnancyPregnancy TrimestersPrognosisRisk FactorsROC CurveUnited StatesVascular Endothelial Growth Factor Receptor-1Young AdultBiomarkersPlacenta Growth FactorVascular Endothelial Growth Factor Receptor-1

Identifiers

PMID26583938
OpenAlexW2419949556

What OpenQuestion holds

Textmetadata
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.