Evidence map›Paper›PMID 40370711›Full record

ArticleInternational journal of population data science2025

Open science and phenotyping in UK administrative health, education and social care data: the ECHILD phenotype code list repository.

Matthew A Jay, Kate Lewis, Difei Shi, Rebecca Langella, Tony Stone, Sorcha Ní Chobhthaigh, Ania Zylbersztejn, Ruth Blackburn, Katie Harron

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of population data science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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.

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

9 authors.

Matthew A JayUniversity College London Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH.
Kate LewisUniversity College London Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH.
Difei ShiUniversity College London Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH.
Rebecca LangellaUniversity College London Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH.
Tony StoneUniversity College London Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH.
Sorcha Ní ChobhthaighUniversity College London Institute of Global Health, 30 Guilford Street, London, WC1N 1EH.
Ania ZylbersztejnUniversity College London Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH.
Ruth BlackburnUniversity College London Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH.
Katie HarronUniversity College London Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Administrative health data, such as the Hospital Episode Statistics (HES), can be used to identify groups of people with a particular target condition, a process known as phenotyping. Clinical phenotypes are useful as exposures, covariates and outcomes in research studies using administrative data, including health data linked to other sources such as the Education and Child Health Insights from Linked Data (ECHILD) project. ECHILD brings together HES and other national health datasets with the National Pupil Database and children's social care data for all of England as a data asset that can be accessed by researchers at UK institutions. Because using linked administrative data is complex, the ECHILD team has created additional resources to improve the accessibility of ECHILD. One such initiative is the ECHILD Phenotype Code List Repository. The Repository is a fully open and searchable website containing phenotype code lists that can be used in ECHILD and beyond. As well as a primer on phenotyping, it includes summaries of each code list and R and Stata implementation scripts. The Repository was designed according to a set of principles to ensure that finding and using code lists is easy and standardised. The ECHILD Phenotype Code List Repository is a step forward in the findability and use of phenotype code lists in ECHILD and its constituent datasets.

Indexed as

Databases, FactualPhenotypeSocial WorkChildHumansUnited KingdomECHILDopen sciencephenotypingrepository

Identifiers

PMID40370711
PMCPMC12076273

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.