Evidence map›Paper›PMID 32946642›Full record

SynthesisLiver international : official journal of the International Association for the Study of the Liver2021

Prognostic accuracy of FIB-4, NAFLD fibrosis score and APRI for NAFLD-related events: A systematic review.

Jenny Lee, Yasaman Vali, Jerome Boursier, Rene Spijker, Quentin M Anstee, Patrick M Bossuyt, Mohammad H Zafarmand

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Liver international : official journal of the International Association for the Study of the Liver, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 228 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
228citing papers in PubMed, 3 pooled it
24.1field-weighted citation impact, top 1% 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

228 citing papers in PubMed, 3 syntheses or guidelines pooled it, 350 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Liver fibrosis risk: a silent threat in type 1 diabetes mellitus.Journal of endocrinological investigation · 2026
    Article
  16. Impact of sleeve gastrectomy on the course of metabolic associated fatty liver disease.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Observational
  17. Article
  18. Article
  19. Article
  20. Article

168 more citing papers are in PubMed but not listed here.

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 4 institutions in 3 countries.

Jenny LeeEpidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0003-4024-0933
Yasaman ValiEpidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0001-7002-118X
Jerome BoursierHepato-Gastroenterology Department, Angers University Hospital, Angers, France.
Rene SpijkerMedical Library, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Quentin M AnsteeThe Newcastle Liver Research Group, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-9518-0088
Patrick M BossuytEpidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Mohammad H ZafarmandEpidemiology and Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Amsterdam Neuroscience · NLNewcastle upon Tyne Hospitals NHS Foundation Trust · GBUniversité d'Angers · FRUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

aimsFibrosis is the strongest predictor for long-term clinical outcomes among patients with non-alcoholic fatty liver disease (NAFLD). There is growing interest in employing non-invasive methods for risk stratification based on prognosis. FIB-4, NFS and APRI are models commonly used for detecting fibrosis among NAFLD patients. We aimed to synthesize existing literature on the ability of these models in prognosticating NAFLD-related events.

methodsA sensitive search was conducted in two medical databases to retrieve studies evaluating the prognostic accuracy of FIB-4, NFS and APRI among NAFLD patients. Target events were change in fibrosis, liver-related event and mortality. Two reviewers independently performed reference screening, data extraction and quality assessment (QUAPAS tool).

resultsA total of 13 studies (FIB-4:12, NFS: 11, APRI: 10), published between 2013 and 2019, were retrieved. All studies were conducted in a secondary or tertiary care setting, with follow-up ranging from 1 to 20 years. All three markers showed consistently good prognostication of liver-related events (AUC from 0.69 to 0.92). For mortality, FIB-4 (AUC of 0.67-0.82) and NFS (AUC of 0.70-0.83) outperformed APRI (AUC of 0.52-0.73) in all studies. All markers had inconsistent performance for predicting change in fibrosis stage.

conclusionsFIB-4, NFS, and APRI have demonstrated ability to risk stratify patients for liver-related morbidity and mortality, with comparable performance to a liver biopsy, although more head-to-head studies are needed to validate this. More refined models to prognosticate NAFLD-events may further enhance performance and clinical utility of non-invasive markers.

Indexed as

Non-alcoholic Fatty Liver DiseaseBiopsyHumansLiver CirrhosisPrognosisRetrospective StudiesSeverity of Illness Indexbiomarkernon-alcoholic fatty liver diseaseprognostic accuracy

Identifiers

PMID32946642
PMCPMC7898346
OpenAlexW3087677084

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.