Evidence map›Paper›PMID 40936502›Full record

ArticleNIHR open research2024

The development of Liver Research Cymru, a new partnership to increase hepatology research activity in Wales.

A D Yeoman, H Ahmed, A Akbari, K Cullen, A Davies, D Fitzsimmons, J Gao, K Hood, C Nollett, A Vincent and 2 more

Abstract read
In one paragraph

Article in NIHR open research, 2024. 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
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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

12 authors.

A D YeomanGwent Liver Unit, NHS Wales Aneurin Bevan University Health Board, Newport, Wales, NP20 2UB, UK.ORCID https://orcid.org/0000-0002-0739-3332
H AhmedDivision of Population Medicine, Cardiff University, Cardiff, UK.
A AkbariPopulation Data Science, Swansea University, Swansea, Wales, UK.ORCID https://orcid.org/0000-0003-0814-0801
K CullenSwansea Centre for Health Economics, Swansea University, Swansea, Wales, UK.ORCID https://orcid.org/0000-0002-3704-4598
A DaviesDivision of Population Medicine, Cardiff University, Cardiff, UK.
D FitzsimmonsSwansea Centre for Health Economics, Swansea University, Swansea, Wales, UK.ORCID https://orcid.org/0000-0002-7286-8410
J GaoPopulation Data Science, Swansea University, Swansea, Wales, UK.
K HoodCardiff University Centre for Trials Research, Cardiff, Wales, UK.
C NollettCardiff University Centre for Trials Research, Cardiff, Wales, UK.
A VincentPublic contributor with liver experience, Wales, UK.
W WilliamsPublic contributor with liver experience, Wales, UK.
Tpi PembrokeCardiff Liver Unit, University Hospital of Wales, Cardiff, Wales, UK.ORCID https://orcid.org/0000-0002-2600-2034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The incidence and severity of liver disease in the United Kingdom have increased over the last 20 years. Many patients present with advanced disease with limited treatment options and subsequently high morbidity and mortality. There was also a significant correlation with deprivation. Strategies that support the earlier detection of liver disease are paramount to reverse this trend. Despite significant progress in terms of novel pathways, the optimal strategy for early detection of liver disease remains unknown. Novel ways to tackle the deprivation gradient and reduce health inequalities are urgently required. Methods: Clinical research has an enormous role to play both in terms of identifying the true scale of this challenge, where current gaps exist, and to identify the optimal early detection strategies and their implementation. We therefore established Liver Research Cymru (LRC) a multi-disciplinary collaboration that seeks to maximise the benefits from our existing data sources and clinical networks and increase the output of hepatology research in Wales. Results: LRC has developed the first Wales wide research collaborative. We have successfully collaborated with the Secure Anonymised Information Linkage (SAIL) data resource to develop a greater understanding of liver disease burdens through comprehensive analysis of primary and secondary care data. We are now using this information to evaluate the effectiveness of local early detection pathways and to identify the scale of delays in diagnosis with a view to addressing this important care gap. Conclusion: LRC has successfully brought together patients. Hepatologists and population/primary care academics to better understand current discrepancies in the early diagnosis of liver disease in Wales. In addition, it has laid a foundation for future research work based both on our preliminary findings and allowed us to collaborate with other more established liver disease research groups.

Indexed as

CirrhosisDeprivationEarly detectionIncidenceMortalityPrevalence

Identifiers

PMID40936502
PMCPMC12421226

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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.