Evidence map›Paper›PMID 36318497›Full record

ArticleUnited European gastroenterology journal2022

Comparison of various strategies to define the optimal target population for liver fibrosis screening: A population-based cohort study.

Fredrik Åberg, Antti Jula, Martti Färkkilä, Veikko Salomaa, Iris Erlund, Satu Männistö, Terhi Vihervaara, Markus Perola, Annamari Lundqvist, Ville Männistö

Open access · hybridAbstract read
In one paragraph

Article in United European gastroenterology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Population screening for cirrhosis.Hepatology communications · 2024
    Review
  4. Article
  5. 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

10 authors at 3 institutions in 1 country.

Fredrik ÅbergTransplantation and Liver Surgery, Helsinki University Hospital, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3833-0705
Antti JulaFinnish Institute for Health and Welfare, Helsinki, Finland.
Martti FärkkiläAbdominal Center, Helsinki University Hospital, Helsinki University, Helsinki, Finland.ORCID 0000-0002-0250-8559
Veikko SalomaaFinnish Institute for Health and Welfare, Helsinki, Finland.ORCID 0000-0001-7563-5324
Iris ErlundFinnish Institute for Health and Welfare, Helsinki, Finland.
Satu MännistöFinnish Institute for Health and Welfare, Helsinki, Finland.
Terhi VihervaaraFinnish Institute for Health and Welfare, Helsinki, Finland.
Markus PerolaFinnish Institute for Health and Welfare, Helsinki, Finland.
Annamari LundqvistFinnish Institute for Health and Welfare, Helsinki, Finland.
Ville MännistöDepartments of Medicine, Kuopio University Hospital, University of Eastern Finland, Kuopio, Finland.
Finnish Institute for Health and Welfare · FIUniversity of Helsinki · FIUniversity of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsLiver fibrosis screening is recommended in high-risk populations, but the optimal definition of "high risk" remains to be established. We compared the performance of several risk-stratification strategies in a population-based setting.

methodsData were obtained from the Finnish population-based health examination surveys Health 2000 and FINRISK 2002-2012. The Chronic Liver Disease Risk Score (CLivD) was compared to previously published risk-stratification strategies based on elevated liver enzymes, alcohol use, diabetes, fatty liver index, body mass index, and/or metabolic risk factors for their ability to detect either advanced liver fibrosis or incident severe liver events. Advanced fibrosis was defined as an Enhanced Liver Fibrosis (ELF

resultsDepending on the cohort, 53%-60% of the population was considered at risk using the CLivD strategy (low-intermediate-high risk, excluding the minimal-risk category), compared to 30%-32% according to the other risk-stratification strategies. The CLivD captured 85%-91% of cases in the population with advanced liver fibrosis and 90% of incident severe liver events within 10 years from baseline. This compares to 33%-44% and 56%-67% captured by the other risk-stratification strategies, respectively. The 10-year cumulative incidence of liver events varied by risk-stratification strategy (1.0%-1.4%).

conclusionsCompared to previously reported traditional risk factor-based strategies, use of the CLivD captured substantially more cases with advanced liver disease in the population and may be superior for targeting further fibrosis screening.

Indexed as

Liver DiseasesResearchCohort StudiesFibrosisHumansLiver CirrhosisCLivDcommunityfibrosisliver cirrhosisscreening

Identifiers

PMID36318497
PMCPMC9731656
OpenAlexW4307847361

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.