Evidence map›Paper›PMID 35947698›Full record

ArticleDiabetes care2022

Noninvasive Fibrosis Screening in Fatty Liver Disease Among Vulnerable Populations: Impact of Diabetes and Obesity on FIB-4 Score Accuracy.

Rebecca G Kim, Jasmine Deng, Jewel N Reaso, James P Grenert, Mandana Khalili

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Care Pathways for Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A State-of-The-Art Review.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
  6. Diabetes and obesity reduce FIB-4 accuracy in MASLD referral pathways.JHEP reports : innovation in hepatology · 2026
    Article
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  10. Article
  11. Article
  12. Review
  13. Article
  14. Observational
  15. DoesHepatology forum · 2025
    Article
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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

5 authors at 3 institutions in 1 country.

Rebecca G KimDivision of Gastroenterology and Hepatology, Department of Medicine, University of California, San Francisco, San Francisco, CA.ORCID 0000-0001-7965-5760
Jasmine DengDavid Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA.
Jewel N ReasoDivision of Gastroenterology and Hepatology, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, CA.
James P GrenertDivision of Surgical Pathology, Department of Pathology and Laboratory Medicine, University of California, San Francisco, San Francisco, CA.
Mandana KhaliliDivision of Gastroenterology and Hepatology, Department of Medicine, University of California, San Francisco, San Francisco, CA.ORCID 0000-0001-9178-9139
San Francisco General Hospital · USUniversity of California, San Francisco · USUniversity of California, Los Angeles · US

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Irfan J Lodhi · 2013 to 2026
$27.1M
NRSA Hepatology Training GrantT32DK060414 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mandana Khalili, JACQUELYN J. MAHER · 2002 to 2026
$6.8M
Mentoring Multidisciplinary Patient-Oriented Research in Viral HepatitisK24AA022523 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KHALILI, MANDANA · 2013 to 2023
$1.9M
NIAAA NIH HHS K24 AA022523NIDDK NIH HHS P30 DK020579NIDDK NIH HHS P30 DK026743NIDDK NIH HHS T32 DK060414
6 · The paper itself

Abstract

objectiveFatty liver disease (FLD) is prevalent in diabetes, and both disproportionately affect vulnerable populations. The FIB-4 index is recommended to screen for advanced liver fibrosis. Limited data have suggested that diabetes may impact FIB-4. RESEARCH DESIGN AND

methodsWe evaluated FIB-4 accuracy for advanced fibrosis compared with liver biopsy in the presence of diabetes and obesity.

resultsAmong 363 FLD patients receiving care in San Francisco's safety net health care system from August 2009 to February 2020, characteristics were as follows: median age 51 years, 46% male, 59% Hispanic, 68% obese, 33% with diabetes, and 31% with advanced fibrosis on histology. Overall, the c-statistic for FIB-4 was 0.79, but was worse in patients with diabetes, 0.68, than without, 0.85 (P = 0.003). Accuracy also varied by weight, at 0.65, 0.85, and 0.75 for normal weight, overweight, and obese, respectively, although not significantly (P = 0.24).

conclusionsThe findings highlight limitations of FIB-4 in screening for advanced liver fibrosis, particularly in individuals with diabetes.

Indexed as

Diabetes MellitusNon-alcoholic Fatty Liver DiseaseAlanine TransaminaseAspartate AminotransferasesBiopsyFemaleHumansLiver CirrhosisMaleMiddle AgedObesitySeverity of Illness IndexAlanine TransaminaseAspartate Aminotransferases

Identifiers

PMID35947698
PMCPMC9643136
OpenAlexW4291021207

What OpenQuestion holds

Textmetadata
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.