Evidence map›Paper›PMID 29410542›Full record

Observational studyJournal of perinatology : official journal of the California Perinatal Association2018

Utility of prenatal Doppler ultrasound to predict neonatal impaired cerebral autoregulation.

Sruthi R Polavarapu, Garrett D Fitzgerald, Stephen Contag, Suma B Hoffman

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of perinatology : official journal of the California Perinatal Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Fetal Cerebral Blood Flow (Dys)autoregulation.Diagnostics (Basel, Switzerland) · 2025
    Review
  5. Cerebral autoregulation in pediatric and neonatal intensive care: A scoping review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  6. Review
  7. Article
  8. Article
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

4 authors.

Sruthi R PolavarapuPediatrics, University of Maryland, Baltimore, MD, USA. Sruthi.R.Polavarapu@drexel.edu.
Garrett D FitzgeraldMaternal Fetal Medicine, University of Maryland, Baltimore, MD, USA.
Stephen ContagMaternal Fetal Medicine, University of Maryland, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-1745-8144
Suma B HoffmanPediatrics, University of Maryland, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDetermine if abnormal prenatal Doppler ultrasound indices are predictive of postnatal impaired cerebral autoregulation. STUDY

designProspective cohort study of 46 subjects, 24

resultsSubjects with abnormal cerebroplacental ratio (n = 12) and abnormal umbilical artery pulsatility index (n = 13) were likely to develop postnatal impaired cerebral autoregulation (p ≤ 0.02). Abnormal cerebroplacental ratio was associated with impaired cerebral autoregulation between 24 and 48 h of life (p = 0.016). These subjects have increased risk for fetal growth restriction, lower birth weight, lower Apgar scores, acidosis, and severe intraventricular hemorrhage and/or death (p < 0.05).

conclusionAbnormal cerebroplacental ratio and umbilical artery pulsatility index are associated with postnatal impairment in cerebral autoregulation and adverse outcome.

Indexed as

Pulsatile FlowAdultBirth WeightCerebral ArteriesCerebrumFemaleFetal DiseasesGestational AgeHomeostasisHumansInfant, NewbornMiddle Cerebral ArteryPredictive Value of TestsPregnancyProspective StudiesROC Curve

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.