Evidence map›Paper›PMID 33178986›Full record

ArticleBJR open2020

Biometric analysis of the foetal meconium pattern using T1 weighted 2D gradient echo MRI.

Georgia Hyde, Andrew Fry, Ashok Raghavan, Elspeth Whitby

Open access · goldAbstract read
In one paragraph

Article in BJR open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 37% 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.

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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors at 3 institutions in 1 country.

Georgia HydeAcademic Unit of Reproductive and Developmental Medicine, The University of Sheffield, Jessop Wing, Tree Root Walk, Sheffield, S10 2SF, United Kingdom.ORCID 0000-0002-5563-2326
Andrew FryMedical Imaging and Medical Physics, Sheffield Teaching Hospitals NHS Trust, Royal Hallamshire Hospital, Beech Hill Road, S10 2JF, Sheffield, United Kingdom.
Ashok RaghavanDepartment of Radiology, Sheffield Children's Hospital, Clarkson Street, Sheffield S10 2TH, United Kingdom.
Elspeth WhitbyAcademic Unit of Reproductive and Developmental Medicine, The University of Sheffield, Jessop Wing, Tree Root Walk, Sheffield, S10 2SF, United Kingdom.
University of Sheffield · GBRoyal Hallamshire Hospital · GBSheffield Children's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFoetal MRI is used to assess abnormalities after ultrasonography. Bowel anomalies are a significant cause of neonatal morbidity, however there are little data concerning its normal appearance on antenatal MRI. This study aims to investigate the pattern of meconium accumulation throughout gestation using its hyperintense appearance on

methodsThis was a retrospective cohort study in a tertiary referral clinical MRI centre. Foetal body MRI scans of varying gestational ages were obtained dating between October 2011 and March 2018. The bowel was visualised on

results181 foetal body scans were reviewed. 52 were excluded and 129 analysed. Visualisation of the meconium in the large bowel became increasingly proximal with later gestations, and small bowel visualisation was greater at earlier gestations. There was statistically significant strong (

conclusionThis study provides new information regarding the pattern of meconium accumulation throughout gestation. With care, the results can be used in clinical practice to aid diagnosis of bowel pathology. ADVANCES IN KNOWLEDGE: The findings of this study provide further information concerning the normal accumulation of foetal meconium on MR imaging, an area where current research is limited.

Identifiers

PMID33178986
PMCPMC7594886
OpenAlexW3045047364

What OpenQuestion holds

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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.