Evidence map›Paper›PMID 28383535›Full record

Observational studyJournal of perinatology : official journal of the California Perinatal Association2017

Comparison of preterm and term equivalent age MRI for the evaluation of preterm brain injury.

A Malhotra, M C Fahey, M Davies-Tuck, F Wong, E Carse, G Whiteley, M Ditchfield

Abstract readComparative StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of perinatology : official journal of the California Perinatal Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

A MalhotraMonash Newborn, Monash Children's Hospital, Melbourne, Victoria, Australia.
M C FaheyThe Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Victoria, Australia.
M Davies-TuckThe Ritchie Centre, Hudson Institute of Medical Research, Melbourne, Victoria, Australia.
F WongMonash Newborn, Monash Children's Hospital, Melbourne, Victoria, Australia.
E CarseMonash Newborn, Monash Children's Hospital, Melbourne, Victoria, Australia.
G WhiteleyDiagnostic Imaging, Monash Health, Melbourne, Victoria, Australia.
M DitchfieldDepartment of Paediatrics, Monash University, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare information obtained from preterm magnetic resonance imaging (MRI; 31-34 weeks) brain scan to that done at term equivalent age. STUDY

designProspective observational study of premature infants with evidence or suspicion of parenchymal brain injury on cranial ultrasound. Brain injury on two scans scored using a scoring system and analyzed.

resultsFourteen infants with a median (range) gestation at birth of 28 (25-29) weeks and birth weight of 1254 (680-1557) grams were studied. There was a strong correlation between the brain injury scores for the two scans (Spearman ρ=0.87, P=0.001) with excellent agreement between two radiologists (interclass correlation coefficient 0.9-0.94). There was also a high level of agreement between the preterm and term MRI two scores (Intraclass correlation coefficient, 0.79 (0.53-0.94)).

conclusionsPreterm MRI is a feasible option for the assessment of preterm brain injury and analysis of data obtained from scan at preterm age is comparable to that obtained at term equivalent age.

Indexed as

Infant, PrematureTerm BirthBirth WeightBrainBrain InjuriesEchoencephalographyFemaleHumansInfantInfant, NewbornMagnetic Resonance ImagingMaleProspective StudiesSeverity of Illness Index

Identifiers

PMID28383535

What OpenQuestion holds

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Registered trials

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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.