Evidence map›Paper›PMID 40134723›Full record

ArticleInternational journal of population data science2024

Early child development in England: cross-sectional analysis of ASQ

Jayu Jung, Sarah Cattan, Claire Powell, Jane Barlow, Mengyun Liu, Amanda Clery, Louise Mc Grath-Lone, Catherine Bunting, Jenny Woodman

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of population data science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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.

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

6 citing papers in PubMed.

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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

9 authors.

Jayu JungUCL Great Ormond Street Institute of Child Health, University College London, London, WC1N 1EH.
Sarah CattanNational Endowment for Science, Technology and the Arts, London, EC4Y 0DS.
Claire PowellUCL Great Ormond Street Institute of Child Health, University College London, London, WC1N 1EH.
Jane BarlowDepartment of Social Policy and Intervention, University of Oxford, Oxford, UK.
Mengyun LiuUCL Great Ormond Street Institute of Child Health, University College London, London, WC1N 1EH.
Amanda CleryUCL Great Ormond Street Institute of Child Health, University College London, London, WC1N 1EH.
Louise Mc Grath-LoneThomas Coram Research Unit, Social Research Institute, University College London, London, WC1H 0AA.
Catherine BuntingUCL Great Ormond Street Institute of Child Health, University College London, London, WC1N 1EH.
Jenny WoodmanThomas Coram Research Unit, Social Research Institute, University College London, London, WC1H 0AA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Ages & Stages Questionnaire 3rd Edition (ASQ Objectives: This study aimed to a) identify a subset of complete child development data for children aged two in England using ASQ Methods: This study compared counts of ASQ Results: Among the 226,505 children from 64 local authorities in the sample with complete ASQ Conclusions: To fully understand early child development across England, the completeness of ASQ

Indexed as

Child DevelopmentDevelopmental DisabilitiesChild, PreschoolCross-Sectional StudiesEnglandFemaleHumansInfantMaleSurveys and Questionnairesages and stages questionnairechild developmentcommunity service datasetearly yearshealth visiting

Identifiers

PMID40134723
PMCPMC11934300

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.