Evidence map›Paper›PMID 36053586›Full record

ArticleBMJ paediatrics open2022

Latent class growth analysis identified different trajectories in cognitive development of extremely low birthweight children.

Anu Haavisto, Liisa Klenberg, Viena Tommiska, Aulikki Lano, Kaija Mikkola, Vineta Fellman, Finnish ELBW Cohort Study Group (FinELBW)

Open access · diamondAbstract read
In one paragraph

Article in BMJ paediatrics open, 2022. 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
1.1field-weighted citation impact, top 21% 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Anu HaavistoDepartment of Psychology and Logopedics, University of Helsinki, Helsinki, Finland anu.haavisto@helsinki.fi.ORCID 0000-0001-7670-4766
Liisa KlenbergNiilo Mäki Institute, Jyväskylä, Finland.
Viena TommiskaNew Children's Hospital, Pediatric Research Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Aulikki LanoChildren's Hospital, University of Helsinki, Helsinki, Finland.
Kaija MikkolaNew Children's Hospital, Pediatric Research Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Vineta FellmanChildren's Hospital, University of Helsinki, Helsinki, Finland.
Finnish ELBW Cohort Study Group (FinELBW)
University of Helsinki · FINiilo Mäki institute · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent longitudinal studies suggest stable cognitive development in preterm children, although with great individual variation. This prospective neurocognitive follow-up study of extremely low birthweight (ELBW, <1000 g) children aimed to characterise groups with different developmental trajectories from preschool to preteen age.

methodsELBW children (n=115) born in Finland in 1996-1997 participated in cognitive assessments at a median age of 5.0 years and 11.3 years. A standardised test of intelligence (Wechsler Preschool and Primary Scale of Intelligence-Revised or Wechsler Intelligence Scale for Children-third edition) was administered at both ages.

resultsThree ELBW groups with different developmental trajectories over time were identified with latent class growth analysis. Children with average (Full-Scale IQ (FSIQ): 85-115) and below average (FSIQ: <85) intelligence at 5 years of age had significant decreases in intelligence scores by 11 years of age (-11.7 points and -14.9 points, respectively, both p<0.001), while those with above average intelligence (FSIQ: >115) showed stable development (-3.2 points, p=0.250). Multiple linear regression showed that neonatal complications (intraventricular haemorrhage grade 3-4 and blood culture positive sepsis) and maternal education significantly predicted lower intelligence at the second assessment (F(3,106)=7.27, p<0.001, adjusted R

conclusionsELBW children represent a heterogeneous patient population in which groups with different cognitive trajectories can be detected. Deterioration may occur particularly in children with initial average or below average cognitive performance at 5 years of age, with neonatal complications and lower maternal education presenting as risk factors. Catch-up in cognitive functions seems more uncommon in the ELBW population, which should be noted in clinical work.

Indexed as

Infant, Extremely Low Birth WeightIntelligenceChildChild, PreschoolCognitionFollow-Up StudiesHumansInfant, NewbornProspective StudiesNeonatologyNeurologyPsychology

Identifiers

PMID36053586
PMCPMC8984002
OpenAlexW4226088737

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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.