Evidence mapPaperPMID 39668382Full record

ArticleClinical diabetes and endocrinology2024

Diagnostic accuracy of Fatty Liver Index (FLI) for detecting Metabolic Associated Fatty Liver Disease (MAFLD) in adults attending a tertiary care hospital, a cross-sectional study.

Roshni Vamja, Yogesh M, Vijay Vala, Arya Ramachandran, Jay Nagda

Abstract read
In one paragraph

Article in Clinical diabetes and endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

5 authors.

Roshni VamjaDepartment of Community Medicine, M P Shah Medical College, New PG Hostel, MP Shah Medical College Campus, GG Hospital, Patel Colony Post, Jamnagar, Gujarat, 361008, India.
Yogesh MDepartment of Community Medicine, M P Shah Medical College, New PG Hostel, MP Shah Medical College Campus, GG Hospital, Patel Colony Post, Jamnagar, Gujarat, 361008, India. yogeshbruce23@gmail.com.
Vijay ValaDepartment of General Medicine, Shantabaa Medical College and General Hospital, Amreli, India.
Arya RamachandranDepartment of Community Medicine, M P Shah Medical College, New PG Hostel, MP Shah Medical College Campus, GG Hospital, Patel Colony Post, Jamnagar, Gujarat, 361008, India.
Jay NagdaDepartment of Community Medicine, M P Shah Medical College, New PG Hostel, MP Shah Medical College Campus, GG Hospital, Patel Colony Post, Jamnagar, Gujarat, 361008, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic-associated fatty liver disease (MAFLD) is a major public health problem worldwide. This study aimed to determine the prevalence of MAFLD and evaluate the diagnostic accuracy of the Fatty Liver Index (FLI) compared to ultrasonography for detecting fatty liver in adults attending a tertiary care hospital in Gujarat, India.

methodsThis cross-sectional study included 500 adults visiting the outpatient department between January 2023 and December 2023. MAFLD was diagnosed on ultrasound. FLI was calculated using body mass index, waist circumference, triglycerides, and gamma-glutamyl transpeptidase levels. FLI ≥ 60 indicated fatty liver. Logistic regression analysis identified factors associated with fatty liver.

resultsMAFLD prevalence was 32.2% on ultrasound. High FLI (≥ 60) was present in 26.2%. Male sex, higher BMI, waist circumference, night shift work, diabetes, and triglycerides were independent predictors of fatty liver. FLI showed excellent diagnostic accuracy with a sensitivity of 96%, specificity of 92.5%, and AUC of 0.92 for detecting fatty liver on ultrasound.

conclusionMAFLD prevalence among adults was high in this hospital-based sample. FLI can serve as an accurate non-invasive tool for identifying individuals with a high probability of MAFLD. These findings emphasize the need for larger population-based studies and the implementation of regular MAFLD screening programs in high-risk groups.

Indexed as

Diagnostic accuracyFatty liverFatty liver indexMAFLDMetabolic syndrome

Identifiers

PMID39668382
PMCPMC11639111

What Socratic holds

Textmetadata
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 Socratic graph.