Evidence map›Paper›PMID 35186809›Full record

ArticleFrontiers in pediatrics2022

Developing Preschool Language Surveillance Models - Cumulative and Clustering Patterns of Early Life Factors in the Early Language in Victoria Study Cohort.

Patricia Eadie, Penny Levickis, Cristina McKean, Elizabeth Westrupp, Edith L Bavin, Robert S Ware, Bibi Gerner, Sheena Reilly

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
5.5field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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 6 institutions in 2 countries.

Patricia EadieMelbourne Graduate School of Education, University of Melbourne, Melbourne, VIC, Australia.
Penny LevickisMelbourne Graduate School of Education, University of Melbourne, Melbourne, VIC, Australia.
Cristina McKeanSchool of Education, Communication and Language Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.
Elizabeth WestruppDeakin University, Centre for Social and Early Emotional Development, School of Psychology, Geelong, VIC, Australia.
Edith L BavinGenetics, Murdoch Children's Research Institute, Melbourne, VIC, Australia.
Robert S WareMenzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia.
Bibi GernerMelbourne Graduate School of Education, University of Melbourne, Melbourne, VIC, Australia.
Sheena ReillyMenzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia.
Griffith University · AUVictorian Curriculum and Assessment Authority · AUDeakin University · AUMurdoch Children's Research Institute · AUNewcastle University · GBUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundScreening and surveillance of development are integral to ensuring effective early identification and intervention strategies for children with vulnerabilities. However, not all developmental skills have reliable screening processes, such as early language ability.

methodWe describe how a set of early life factors used in a large, prospective community cohort from Australia are associated with language abilities across the preschool years, and determine if either an accumulation of risk factors or a clustering of risk factors provide a feasible approach to surveillance of language development in preschool children.

resultsThere were 1,208 children with a 7-year language outcome. The accumulation of early life factors increased the likelihood of children having low language skills at 7-years. Over a third of children with typical language skills (36.6%) had ≤ two risks and half of the children with low language (50%) had six or more risks. As the number of factors increases the risk of having low language at 7-years increases, for example, children with six or more risks had 17 times greater risk, compared to those with ≤ two risks. Data collected from 1,910 children at 8- to 12-months were used in the latent class modeling. Four profile classes (or groups) were identified. The largest group was developmentally enabled with a supportive home learning environment (56.2%,

conclusionThe cumulative and cluster risk analyses demonstrate the potential to use developmental surveillance to identify children within the first years of life who are at risk of language difficulties. Importantly, parent-child interaction and the home learning environment emerged as a consistent cluster. We recommend they be adopted as the common focus for early intervention and universal language promotion programs.

Indexed as

developmentlanguagepreschoolrisk factorssurveillance

Identifiers

PMID35186809
PMCPMC8854765
OpenAlexW4210588369

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.