Evidence map›Paper›PMID 38419854›Full record

SynthesisFrontiers in nutrition2024

Accuracy of prognostic serological biomarkers in predicting liver fibrosis severity in people with metabolic dysfunction-associated steatotic liver disease: a meta-analysis of over 40,000 participants.

Sergio M López Tórrez, Camila O Ayala, Paula Bayer Ruggiro, Caroline Abud Drumond Costa, Mario B Wagner, Alexandre Vontobel Padoin, Rita Mattiello

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Sergio M López Tórrez *School of Medicine, Graduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Camila O Ayala *School of Medicine, Postgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Paula Bayer RuggiroSchool of Medicine, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Caroline Abud Drumond CostaSchool of Medicine, Postgraduate Program in Pediatrics and Child Health, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Mario B WagnerSchool of Medicine, Graduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Alexandre Vontobel PadoinSchool of Medicine, Graduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica de Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Rita MattielloSchool Medicine, Universidade Federal de Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.
Pontifícia Universidade Católica do Rio Grande do Sul · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A prognostic model to predict liver severity in people with metabolic dysfunction-associated steatotic liver disease (MASLD) is very important, but the accuracy of the most commonly used tools is not yet well established. Objective: The meta-analysis aimed to assess the accuracy of different prognostic serological biomarkers in predicting liver fibrosis severity in people with MASLD. Methods: Adults ≥18 years of age with MASLD were included, with the following: liver biopsy and aspartate aminotransferase-to-platelet ratio (APRI), fibrosis index-4 (FIB-4), non-alcoholic fatty liver disease fibrosis score (NFS), body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes score (BARD score), FibroMeter, FibroTest, enhanced liver fibrosis (ELF), Forns score, and Hepascore. Meta-analyses were performed using a random effects model based on the DerSimonian and Laird methods. The study's risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2. Results: In total, 138 articles were included, of which 86 studies with 46,514 participants met the criteria for the meta-analysis. The results for the summary area under the receiver operating characteristic (sAUROC) curve, according to the prognostic models, were as follows: APRI: advanced fibrosis (AF): 0.78, any fibrosis (AnF): 0.76, significant fibrosis (SF): 0.76, cirrhosis: 0.72; FIB-4: cirrhosis: 0.83, AF: 0.81, AnF: 0.77, SF: 0.75; NFS: SF: 0.81, AF: 0.81, AnF: 0.71, cirrhosis: 0.69; BARD score: SF: 0.77, AF: 0.73; FibroMeter: SF: 0.88, AF: 0.84; FibroTest: SF: 0.86, AF: 0.78; and ELF: AF: 0.87. Conclusion: The results of this meta-analysis suggest that, when comparing the scores of serological biomarkers with liver biopsies, the following models showed better diagnostic accuracy in predicting liver fibrosis severity in people with MASLD: FIB-4 for any fibrosis, FibroMeter for significant fibrosis, ELF for advanced fibrosis, and FIB-4 for cirrhosis.Clinical trial registration: [https://clinicaltrials.gov/], identifier [CRD 42020180525].

Indexed as

liver biopsymeta-analysismetabolic dysfunction-associated steatotic liver diseasenon-invasive testsprognosis

Identifiers

PMID38419854
PMCPMC10899345
OpenAlexW4391819055

What OpenQuestion holds

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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.