Evidence map›Paper›PMID 34095527›Full record

ArticleInternational journal of population data science2019

Electronic Longitudinal Alcohol Study in Communities (ELAStiC) Wales - protocol for platform development.

L Trefan, A Akbari, S Paranjothy, D M Farewell, A Gartner, D Fone, J Greene, A Evans, A Smith, V Adekanmbi and 3 more

Abstract read
In one paragraph

Article in International journal of population data science, 2019. 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
–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

7 citing papers in PubMed.

  1. Prediction of individualised 6-month mortality risk in opioid use disorder.The British journal of psychiatry : the journal of mental science · 2026
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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

13 authors.

L TrefanDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS.
A AkbariHealth Data Research UK Wales and Northern Ireland, Swansea University Medical School, Singleton Park, Swansea SA2 8PP.
S ParanjothyDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS.
D M FarewellDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS.
A GartnerDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS.
D FoneDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS.
J GreeneDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS.
A EvansDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS.
A SmithDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS.
V AdekanmbiDivision of Population Medicine, School of Medicine, Cardiff University, 3rd Floor Neuadd Meirionnydd, Heath Park, Cardiff CF14 4YS.
J KennedyHealth Data Research UK Wales and Northern Ireland, Swansea University Medical School, Singleton Park, Swansea SA2 8PP.
R A LyonsHealth Data Research UK Wales and Northern Ireland, Swansea University Medical School, Singleton Park, Swansea SA2 8PP.
S C MooreCrime and Security Research Institute and School of Dentistry, Cardiff University, Cardiff, CF14 4XY.

Funding

Medical Research Council MR/K023233/1
6 · The paper itself

Abstract

introductionExcessive alcohol consumption has adverse effects on health and there is a recognised need for the longitudinal analysis of population data to improve our understanding of the patterns of alcohol use, harms to consumers and those in their immediate environment. The UK has a number of linkable, longitudinal databases that if assembled properly could support valuable research on this topic. AIMS AND

objectivesThis paper describes the development of a broad set of cross-linked cohorts, e-cohorts, surveys and linked electronic healthcare records (EHRs) to construct an alcohol-specific analytical platform in the United Kingdom using datasets on the population of Wales.The objective of this paper is to provide a description of existing key datasets integrated with existing, routinely collected electronic health data on a secure platform, and relevant derived variables to enable population-based research on alcohol-related harm in Wales. We illustrate our use of these data with some exemplar research questions that are currently under investigation.

methodsRecord-linkage of routine and observational datasets. Routine data includes hospital admissions, general practice, and cohorts specific to children. Two observational studies were included. Routine socioeconomic descriptors and mortality data were also linked.

conclusionWe described a record-linked, population-based research protocol for alcohol related harm on a secure platform. As the datasets used here are available in many countries, ELAStiC provides a template for setting up similar initiatives in other countries. We have also defined a number of alcohol specific variables using routinely-collected available data that can be used in other epidemiological studies into alcohol related outcomes. With over 10 years of longitudinal data, it will help to understand alcohol-related disease and health trajectories across the lifespan.

Identifiers

PMID34095527
PMCPMC8142962

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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.