Evidence map›Paper›PMID 33925992›Full record

ArticleJournal of clinical medicine2021

Performance of Fatty Liver Index in Identifying Non-Alcoholic Fatty Liver Disease in Population Studies. A Meta-Analysis.

Marco Castellana, Rossella Donghia, Vito Guerra, Filippo Procino, Luisa Lampignano, Fabio Castellana, Roberta Zupo, Rodolfo Sardone, Giovanni De Pergola, Francesco Romanelli and 2 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

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  16. [Serum indices of hepatic steatosis in indigenous Venezuelan adults of the Piaroa ethnic group]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2024
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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

12 authors.

Marco CastellanaUnit of Research Methodology and Data Sciences for Population Health "Salus in Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.ORCID 0000-0002-1175-8998
Rossella DonghiaUnit of Research Methodology and Data Sciences for Population Health "Salus in Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.ORCID 0000-0002-9140-673X
Vito GuerraUnit of Research Methodology and Data Sciences for Population Health "Salus in Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.
Filippo ProcinoUnit of Research Methodology and Data Sciences for Population Health "Salus in Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.
Luisa LampignanoUnit of Research Methodology and Data Sciences for Population Health "Salus in Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.ORCID 0000-0001-9299-3211
Fabio CastellanaUnit of Research Methodology and Data Sciences for Population Health "Salus in Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.
Roberta ZupoUnit of Research Methodology and Data Sciences for Population Health "Salus in Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.ORCID 0000-0001-9885-1185
Rodolfo SardoneUnit of Research Methodology and Data Sciences for Population Health "Salus in Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.ORCID 0000-0003-1383-1850
Giovanni De PergolaUnit of Research Methodology and Data Sciences for Population Health "Salus in Apulia Study", National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.
Francesco RomanelliDepartment of Experimental Medicine, "Sapienza" University of Rome, 00185 Rome, Italy.ORCID 0000-0003-0657-0760
Pierpaolo TrimboliClinic of Endocrinology, Ente Ospedaliero Cantonale, 6900 Lugano, Switzerland.ORCID 0000-0002-2125-4937
Gianluigi GiannelliNational Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFatty liver index (FLI) is a non-invasive tool used to stratify the risk of non-alcoholic fatty liver disease (NAFLD) in population studies; whether it can be used to exclude or diagnose this disorder is unclear. We conducted a meta-analysis to assess the prevalence of NAFLD in each FLI class and the performance of FLI in detecting NAFLD.

methodsFour databases were searched until January 2021 (CRD42021231367). Original articles included were those reporting the performance of FLI and adopting ultrasound, computed tomography, or magnetic resonance as a reference standard. The numbers of subjects with NAFLD in FLI classes <30, 30-60, and ≥60, and the numbers of subjects classified as true/false positive/negative when adopting 30 and 60 as cut-offs were extracted. A random-effects model was used for pooling data.

resultsTen studies were included, evaluating 27,221 subjects without secondary causes of fatty liver disease. The prevalence of NAFLD in the three FLI classes was 14%, 42%, and 67%. Sensitivity, specificity, positive predictive value, negative predictive value, likelihood ratio for positive results, likelihood ratio for negative results, and diagnostic odds ratio were 81%, 65%, 53%, 84%, 2.3, 0.3, and 7.8 for the lower cut-off and 44%, 90%, 67%, 76%, 4.3, 0.6, and 7.3 for the higher cut-off, respectively. A similar performance was generally found in studies adopting ultrasound versus other imaging modalities.

conclusionsFLI showed an adequate performance in stratifying the risk of NAFLD. However, it showed only weak evidence of a discriminatory performance in excluding or diagnosing this disorder.

Indexed as

fatty liver indexlivermeta-analysisnon-alcoholic fatty liver diseasesteatosis

Identifiers

PMID33925992
PMCPMC8123596

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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.