Evidence map›Paper›PMID 27655301›Full record

SynthesisEuropean radiology2017

A systematic review and meta-analysis to determine the contribution of mr imaging to the diagnosis of foetal brain abnormalities In Utero.

Debbie Jarvis, Cara Mooney, Judith Cohen, Diana Papaioannou, Mike Bradburn, Anthea Sutton, Paul D Griffiths

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Debbie JarvisAcademic Unit of Radiology, University of Sheffield, Sheffield, UK. Deborah.jarvis@sheffield.ac.uk.ORCID http://orcid.org/0000-0002-0133-1771
Cara MooneySchool of Health and Related Research (ScHARR) University of Sheffield, Sheffield, UK.
Judith CohenSchool of Health and Related Research (ScHARR) University of Sheffield, Sheffield, UK.
Diana PapaioannouSchool of Health and Related Research (ScHARR) University of Sheffield, Sheffield, UK.
Mike BradburnSchool of Health and Related Research (ScHARR) University of Sheffield, Sheffield, UK.
Anthea SuttonSchool of Health and Related Research (ScHARR) University of Sheffield, Sheffield, UK.
Paul D GriffithsAcademic Unit of Radiology, University of Sheffield, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis systematic review was undertaken to define the diagnostic performance of in utero MR (iuMR) imaging when attempting to confirm, exclude or provide additional information compared with the information provided by prenatal ultrasound scans (USS) when there is a suspicion of foetal brain abnormality.

methodsElectronic databases were searched as well as relevant journals and conference proceedings. Reference lists of applicable studies were also explored. Data extraction was conducted by two reviewers independently to identify relevant studies for inclusion in the review. Inclusion criteria were original research that reported the findings of prenatal USS and iuMR imaging and findings in terms of accuracy as judged by an outcome reference diagnosis for foetal brain abnormalities.

results34 studies met the inclusion criteria which allowed diagnostic accuracy to be calculated in 959 cases, all of which had an outcome reference diagnosis determined by postnatal imaging, surgery or autopsy. iuMR imaging gave the correct diagnosis in 91 % which was an increase of 16 % above that achieved by USS alone.

conclusioniuMR imaging makes a significant contribution to the diagnosis of foetal brain abnormalities, increasing the diagnostic accuracy achievable by USS alone. KEY POINTS: • Ultrasound is the primary modality for monitoring foetal brain development during pregnancy • iuMRI used together with ultrasound is more accurate for detecting foetal brain abnormalities • iuMR imaging is most helpful for detecting midline brain abnormalities • The moderate heterogeneity of reviewed studies may compromise findings.

Indexed as

AutopsyBrainCohort StudiesFemaleFetusGestational AgeHumansMagnetic Resonance ImagingPregnancyPrenatal DiagnosisSensitivity and SpecificityUltrasonography, PrenatalBrain malformationsFoetalMagnetic resonance imagingPrenatal diagnosisUltrasound

Identifiers

PMID27655301
PMCPMC5408056

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.