Evidence map›Paper›PMID 26457641›Full record

SynthesisJAMA pediatrics2015

Prognostic Factors for Poor Cognitive Development in Children Born Very Preterm or With Very Low Birth Weight: A Systematic Review.

Louise Linsell, Reem Malouf, Joan Morris, Jennifer J Kurinczuk, Neil Marlow

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in JAMA pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02159534 (Multicentric Prospective Randomised Single-blind Controlled Clinical Study Assessing the Effect and the Safety of Primebrain Sensorimotor Stimulation on Neurological Development of Preterm Infants), which is not on this map. Cited by 170 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed, 5 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.

NCT02159534 naunknown statusnot on this map

Multicentric Prospective Randomised Single-blind Controlled Clinical Study Assessing the Effect and the Safety of Primebrain Sensorimotor Stimulation on Neurological Development of Preterm Infants (Born Before 32 Weeks' Gestation) or Infants Born Weighing Less Than 1500 g

TypeinterventionalSponsorQueen Fabiola Children's University HospitalRan2014 to 2020Enrolled70ConditionsPreterm InfantsArmsPrimebrain
3 · Its place in the literature

Who cites it

170 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  16. Associations between neonatal brain structure and neurodevelopmental outcomes following very preterm birth.Journal of perinatology : official journal of the California Perinatal Association · 2026
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110 more citing papers are in PubMed but not listed here.

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

5 authors.

Louise LinsellNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.
Reem MaloufNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.
Joan MorrisCentre for Environmental and Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, England.
Jennifer J KurinczukNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England.
Neil MarlowInstitute of Women's Health, University College London, London, England.

Funding

Department of Health DRF-2012-05-206Medical Research Council G0401525Medical Research Council MR/J01107X/1
6 · The paper itself

Abstract

importanceCognitive delay is the most common form of impairment among children born very preterm (VPT) at 32 weeks or less or with very low birth weight (VLBW) of 1250 g or less. It is important to identify factors that are robust predictors of long-term outcome because the ability to predict future prognosis will assist in health care and educational service planning and provision.

objectiveTo identify prognostic factors for poor cognitive development in children born VPT or with VLBW. EVIDENCE REVIEW: A systematic review was conducted using MEDLINE, EMBASE, and PyscINFO databases to identify studies published between January 1, 1990, and June 1, 2014, reporting multivariable prediction models for neurodevelopment in VPT or VLBW children. Thirty-one studies comprising 98 risk factor models for cognitive outcome were identified. Two independent reviewers extracted key information on study design, outcome definition, risk factor selection, model development, and reporting and conducted a risk-of-bias assessment.

findingsThere was evidence that male sex, nonwhite race/ethnicity, lower level of parental education, and lower birth weight were predictive of global cognitive impairment in children younger than 5 years. In older children, only the influence of parental education was sustained. Male sex was also predictive of language impairment in early infancy, but not in middle childhood. Gestational age was a poor predictor of cognitive outcome, probably because of a reduced discriminatory power in cohorts restricted to a narrow gestational age range. The prognostic value of neonatal brain injury was unclear; however, studies adopted mixed strategies for managing children with physical or neurosensory disability. CONCLUSIONS AND RELEVANCE: The influence of perinatal risk factors on cognitive development of VPT or VLBW children appears to diminish over time as environmental factors become more important. It is difficult to isolate cognitive outcomes from motor and neurosensory impairment, and the strategy for dealing with untestable children has implications for risk prediction.

Indexed as

Child DevelopmentChildChild, PreschoolCognition DisordersDevelopmental DisabilitiesFemaleHumansInfant, Extremely PrematureInfant, NewbornInfant, Very Low Birth WeightMaleNeuropsychological TestsPrognosisRisk AssessmentRisk Factors

Identifiers

PMID26457641
PMCPMC5122448

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Registered trials

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.