Evidence map›Paper›PMID 39944006›Full record

ArticleeGastroenterology2023

CLivD score modifies FIB-4 performance in liver fibrosis detection in the US general population.

Fredrik Åberg, Mitja Lääperi, Ville Männistö

Abstract read
In one paragraph

Article in eGastroenterology, 2023. 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

3 authors.

Fredrik ÅbergTransplantation and Liver Surgery, HUS Helsinki University Hospital and University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3833-0705
Mitja LääperiTransplantation and Liver Surgery, HUS Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Ville MännistöInstitute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractBackground and aims: Steatotic liver disease (SLD) is a growing global concern. The Chronic Liver Disease (CLivD) risk score predicts liver-related outcomes in the general population using easily accessible variables with or without laboratory tests (CLivD Methods: Using the National Health and Nutrition Examination Survey data (2017-2020), 3603 participants aged 40-70 years with valid liver stiffness measurements (LSMs) were included. Advanced fibrosis was defined as LSM ≥12 kPa, and SLD as controlled attenuation parameter ≥288 dB/m. Results: Significant associations were found between CLivD and SLD and advanced fibrosis. CLivD Conclusions: The CLivD score, designed for predicting liver-related outcomes, effectively identifies liver steatosis and advanced fibrosis in the general population. Combining CLivD with FIB-4 enhances advanced fibrosis detection accuracy. The CLivD score could enhance population-based liver fibrosis screening, optimising resource allocation.

Indexed as

fibrosisliver diseases

Identifiers

PMID39944006
PMCPMC11770440

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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.