Evidence map›Paper›PMID 42576037›Full record

ArticleInternational journal of epidemiology2026

Cohort Profile: Scotland's Substance Use and Health Intelligence Linked Dataset (SHIeLD).

Lee Barnsdale, Alan Yeung, Megan Glancy, Jaroslaw Lang, Andreas Markoulidakis, Matthew Hickman, Hayley E Jones, Elinor Curnow, Kirsten M A Trayner, Rosalyn Fraser and 5 more

Abstract read
In one paragraph

Article in International journal of epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Lee BarnsdalePublic Health Scotland, Edinburgh, United Kingdom.
Alan YeungPublic Health Scotland, Edinburgh, United Kingdom.ORCID 0000-0001-5226-3695
Megan GlancyPublic Health Scotland, Edinburgh, United Kingdom.
Jaroslaw LangPublic Health Scotland, Edinburgh, United Kingdom.
Andreas MarkoulidakisPublic Health Scotland, Edinburgh, United Kingdom.
Matthew HickmanSchool of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom.
Hayley E JonesPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-4265-2854
Elinor CurnowPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Kirsten M A TraynerPublic Health Scotland, Edinburgh, United Kingdom.
Rosalyn FraserPublic Health Scotland, Edinburgh, United Kingdom.
Gordon HuntPublic Health Scotland, Edinburgh, United Kingdom.
Femke de WitPublic Health Scotland, Edinburgh, United Kingdom.
Andrew McAuleyPublic Health Scotland, Edinburgh, United Kingdom.
Sharon HutchinsonPublic Health Scotland, Edinburgh, United Kingdom.
Tara ShivajiPublic Health Scotland, Edinburgh, United Kingdom.

Funding

TRANSFORM - Transforming the evidence base on estimating prevalence of opioid use disorder and expanded access to interventions to prevent drug related deaths: an international data linkage studyR01DA059822 · NIDA · UNIVERSITY OF NEW SOUTH WALES · PI Joshua Adam Barocas, Louisa Degenhardt · 2024 to 2026
$2.3M
NIDA NIH HHS R01 DA059822NIHNIHRPHSthe Department of Health and Social Carethe National Institute for Health and Care Research (NIHR) Public Health Research NIHR160569the National Institutes of Health (NIH) 1R01DA059822-01Athe Scottish Governmentthe Scottish Government Drug Death Task Force
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

drug-related deathsopioid agonist therapyopioidspublic healthsubstance use

Identifiers

PMID42576037
PMCPMC13456961

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.