Evidence map›Paper›PMID 37217606›Full record

ArticlePediatric research2023

Bayley trajectories predict school readiness better than single assessments in formerly very preterm preschoolers.

Mary Lauren Neel, Sara Conroy, Rachelle Srinivas, Hudson Gerry Taylor, Ann R Stark, Aryanne de Silva, Tyler Busch, Nathalie L Maitre

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Pediatric research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.4field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Association of unplanned extubations and neurodevelopmental outcomes in very low birthweight infants.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Article
  5. Latent motor growth trajectories of term and preterm infants based on caregiver report.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2025
    Article
  6. Article
  7. Article
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 3 institutions in 1 country.

Mary Lauren Neel *Department of Pediatrics, Emory University School of Medicine and Children's Healthcare of Atlanta, Atlanta, GA, USA. mneel@emory.edu.
Sara Conroy *Center for Perinatal Research, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA.
Rachelle SrinivasCenter for Perinatal Research, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA.
Hudson Gerry TaylorDepartment of Pediatrics, Nationwide Children's Hospital, Columbus, OH, USA.
Ann R StarkDepartment of Neonatology, Beth Israel Deaconess Medical Center & Harvard Medical School, Boston, MA, USA.
Aryanne de SilvaDepartment of Pediatrics, Nationwide Children's Hospital, Columbus, OH, USA.
Tyler BuschDepartment of Pediatrics, Nationwide Children's Hospital, Columbus, OH, USA.
Nathalie L MaitreDepartment of Pediatrics, Emory University School of Medicine and Children's Healthcare of Atlanta, Atlanta, GA, USA.
Nationwide Children's Hospital · USChildren's Healthcare of Atlanta · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDevelopment of children born very preterm (VPT) is evaluated using the Bayley Scales of Infant Development. Early Bayley scores may not predict later outcomes. We studied whether VPT Bayley trajectories in the early years predicted school readiness better than single assessments.

methodsWe prospectively evaluated 53 VPT at 4-5 years using standardized measures of school readiness, including the domains of cognition, early mathematical and literacy abilities, and motor skills. Predictors were Bayley-III scores obtained 1-5 times/child between 6 and 35 months. Linear mixed models (LMM) with random effects extracted estimated random effect for slope (change in Bayley score/1 year) and fixed+random effect sum for the intercept (initial Bayley score) for each participant, to then evaluate 4-5-year outcomes prediction.

resultsVariability of individual trajectories prevailed across developmental domains. For the initial LMM, adding Bayley change to models with only initial score improved model fits for several Bayley-III domains. Models containing estimates for initial Bayley scores and Bayley change explained significantly more variability in school readiness scores (21-63%) than either variable alone.

conclusionNeurodevelopmental follow-up of VPT is more relevant to school readiness when children are assessed multiple times in the first 3 years. Neonatal intervention research could use early trajectories rather than single timepoints as outcomes. IMPACT: This study is the first to examine individual Bayley scores and trajectories to predict school readiness of formerly preterm children at 4-5 years. Modeling demonstrated extreme variability of individual trajectories compared to the group's average trajectories. Models containing initial Bayley scores and Bayley change over time explained more variability in preschool readiness than either variable alone. Using the Bayley to predict future school readiness is enhanced by administration across multiple follow-up visits and inclusion of change across the first 3 years. Follow-up care models and clinical trial design for neonatal interventions may benefit from a trajectory-based approach to outcomes evaluation.

Indexed as

Child DevelopmentInfant, Extremely PrematureChildChild, PreschoolCognitionHumansInfantInfant, NewbornMotor SkillsProspective StudiesSchools

Identifiers

PMID37217606
OpenAlexW4377195878

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.