Evidence map›Paper›PMID 34112719›Full record

Trial reportArchives of disease in childhood. Fetal and neonatal edition2022

Prediction of outcome from MRI and general movements assessment after hypoxic-ischaemic encephalopathy in low-income and middle-income countries: data from a randomised controlled trial.

Karoline Aker, Niranjan Thomas, Lars Adde, Beena Koshy, Miriam Martinez-Biarge, Ingeborg Nakken, Caroline S Padankatti, Ragnhild Støen

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Archives of disease in childhood. Fetal and neonatal edition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the 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
6.7field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  10. Infant sleep spindle measures from EEG improve prediction of cerebral palsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
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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

8 authors at 4 institutions in 3 countries.

Karoline AkerDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Faculty of Medicine and Health Sciences, Trondheim, Norway karoline.aker@ntnu.no.ORCID http://orcid.org/0000-0002-1046-6109
Niranjan ThomasDepartment of Neonatology, Christian Medical College Vellore, Vellore, Tamil Nadu, India.ORCID http://orcid.org/0000-0002-1651-3201
Lars AddeDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Faculty of Medicine and Health Sciences, Trondheim, Norway.
Beena KoshyDepartment of Developmental Paediatrics, Christian Medical College Vellore, Vellore, Tamil Nadu, India.
Miriam Martinez-BiargeDepartment of Paediatrics, Imperial College London, London, UK.
Ingeborg NakkenNorwegian Advisory Unit for Functional MRI, Department of Radiology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.
Caroline S PadankattiDepartment of Developmental Paediatrics, Christian Medical College Vellore, Vellore, Tamil Nadu, India.
Ragnhild StøenDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Faculty of Medicine and Health Sciences, Trondheim, Norway.
Christian Medical College, Vellore · INNorwegian University of Science and Technology · NOImperial College London · GBSt Olav's University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the accuracy of neonatal MRI and general movements assessment (GMA) in predicting neurodevelopmental outcomes in infants with hypoxic-ischaemic encephalopathy (HIE).

designSecondary analyses of a randomised controlled trial (RCT).

settingTertiary neonatal intensive care unit in India.

methodsFifty infants with HIE were included in an RCT of therapeutic hypothermia (25 cooled and 25 non-cooled). All infants underwent brain MRI at day 5, GMA at 10-15 weeks and outcome assessments including Bayley Scales of Infant and Toddler Development, third edition, at 18 months. Associations between patterns of brain injury, presence/absence of fidgety movements (FMs) and outcomes were assessed.

resultsSeventeen of 47 (36%) had adverse outcome (5 (21%) cooled vs 12 (52%) non-cooled, p=0.025). Eight infants died (four before an MRI, another three before GMA). Two developed severe cerebral palsy and seven had Bayley-III motor/cognitive composite score <85. Twelve (26%) had moderately/severely abnormal MRI and nine (23%) had absent FMs. The positive predictive value (95% CI) of an adverse outcome was 89% (53% to 98%) for moderate/severe basal ganglia and thalami (BGT) injury, 83% (56% to 95%) for absent/equivocal signal in the posterior limb of the internal capsule (PLIC) and 67% (38% to 87%) for absent FMs. Negative predictive values (95% CI) were 85% (74% to 92%) for normal/mild BGT injury, 90% (78% to 96%) for normal PLIC and 86% (74% to 93%) for present FMs.

conclusionsNeonatal MRI and GMA predicted outcomes with high accuracy in infants with HIE. The GMA is a feasible low-cost method which can be used alone or complementary to MRI in low-resource settings to prognosticate and direct follow-up. TRIAL REGISTRATION NUMBER: CTRI/2013/05/003693.

Indexed as

Developing CountriesMagnetic Resonance ImagingMovementChild DevelopmentHumansHypothermia, InducedHypoxia-Ischemia, BrainIndiaInfantInfant, NewbornNeurologic ExaminationPrognosisneonatologyneurologyneuropathology

Identifiers

PMID34112719
PMCPMC8685634
OpenAlexW3170906106

What OpenQuestion holds

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LicenceCC BY-NC
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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.