Evidence map›Paper›PMID 38214600›Full record

ArticleRadiology. Imaging cancer2024

Assessing Adherence to US LI-RADS Follow-up Recommendations in Vulnerable Patients Undergoing Hepatocellular Carcinoma Surveillance.

Hailey H Choi, Stephanie Kim, Dorothy J Shum, Chiung-Yu Huang, Amy Shui, Rena K Fox, Mandana Khalili

Abstract read
In one paragraph

Article in Radiology. Imaging cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Significant Disparities in Hepatocellular Carcinoma Outcomes by Race/Ethnicity and Sociodemographic Factors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
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.

Hailey H ChoiFrom the Department of Radiology and Biomedical Imaging, University of California San Francisco, Zuckerberg San Francisco General Hospital, 505 Parnassus Ave, Box 0628, Room 255, San Francisco, CA 94143 (H.H.C., D.J.S.); and Department of Medicine, Division of General Internal Medicine (S.K., R.K.F.), Department of Epidemiology and Biostatistics (C.Y.H., A.S.), and Department of Medicine, Division of Gastroenterology and Hepatology (M.K.), University of California San Francisco, San Francisco, Calif.ORCID 0000-0002-7597-9191
Stephanie KimFrom the Department of Radiology and Biomedical Imaging, University of California San Francisco, Zuckerberg San Francisco General Hospital, 505 Parnassus Ave, Box 0628, Room 255, San Francisco, CA 94143 (H.H.C., D.J.S.); and Department of Medicine, Division of General Internal Medicine (S.K., R.K.F.), Department of Epidemiology and Biostatistics (C.Y.H., A.S.), and Department of Medicine, Division of Gastroenterology and Hepatology (M.K.), University of California San Francisco, San Francisco, Calif.
Dorothy J ShumFrom the Department of Radiology and Biomedical Imaging, University of California San Francisco, Zuckerberg San Francisco General Hospital, 505 Parnassus Ave, Box 0628, Room 255, San Francisco, CA 94143 (H.H.C., D.J.S.); and Department of Medicine, Division of General Internal Medicine (S.K., R.K.F.), Department of Epidemiology and Biostatistics (C.Y.H., A.S.), and Department of Medicine, Division of Gastroenterology and Hepatology (M.K.), University of California San Francisco, San Francisco, Calif.ORCID 0000-0001-7506-3303
Chiung-Yu HuangFrom the Department of Radiology and Biomedical Imaging, University of California San Francisco, Zuckerberg San Francisco General Hospital, 505 Parnassus Ave, Box 0628, Room 255, San Francisco, CA 94143 (H.H.C., D.J.S.); and Department of Medicine, Division of General Internal Medicine (S.K., R.K.F.), Department of Epidemiology and Biostatistics (C.Y.H., A.S.), and Department of Medicine, Division of Gastroenterology and Hepatology (M.K.), University of California San Francisco, San Francisco, Calif.
Amy ShuiFrom the Department of Radiology and Biomedical Imaging, University of California San Francisco, Zuckerberg San Francisco General Hospital, 505 Parnassus Ave, Box 0628, Room 255, San Francisco, CA 94143 (H.H.C., D.J.S.); and Department of Medicine, Division of General Internal Medicine (S.K., R.K.F.), Department of Epidemiology and Biostatistics (C.Y.H., A.S.), and Department of Medicine, Division of Gastroenterology and Hepatology (M.K.), University of California San Francisco, San Francisco, Calif.
Rena K FoxFrom the Department of Radiology and Biomedical Imaging, University of California San Francisco, Zuckerberg San Francisco General Hospital, 505 Parnassus Ave, Box 0628, Room 255, San Francisco, CA 94143 (H.H.C., D.J.S.); and Department of Medicine, Division of General Internal Medicine (S.K., R.K.F.), Department of Epidemiology and Biostatistics (C.Y.H., A.S.), and Department of Medicine, Division of Gastroenterology and Hepatology (M.K.), University of California San Francisco, San Francisco, Calif.
Mandana KhaliliFrom the Department of Radiology and Biomedical Imaging, University of California San Francisco, Zuckerberg San Francisco General Hospital, 505 Parnassus Ave, Box 0628, Room 255, San Francisco, CA 94143 (H.H.C., D.J.S.); and Department of Medicine, Division of General Internal Medicine (S.K., R.K.F.), Department of Epidemiology and Biostatistics (C.Y.H., A.S.), and Department of Medicine, Division of Gastroenterology and Hepatology (M.K.), University of California San Francisco, San Francisco, Calif.ORCID 0000-0001-9178-9139

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
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 DK026743
6 · The paper itself

Abstract

Purpose To assess adherence to the US Liver Imaging Reporting and Data System (LI-RADS) recommendations for hepatocellular carcinoma (HCC) surveillance and associated patient-level factors in a vulnerable, diverse patient sample. Materials and Methods The radiology report database was queried retrospectively for patients who underwent US LI-RADS-based surveillance examinations at a single institution between June 1, 2020, and February 28, 2021. Initial US and follow-up liver imaging were included. Sociodemographic and clinical data were captured from electronic medical records. Adherence to radiologist recommendation was defined as imaging (US, CT, or MRI) follow-up in 5-7 months for US-1, imaging follow-up in 3-6 months for US-2, and CT or MRI follow-up in 2 months for US-3. Descriptive analysis and multivariable modeling that adjusted for age, sex, race, and time since COVID-19 pandemic onset were performed. Results Among 936 patients, the mean age was 59.1 years; 531 patients (56.7%) were male and 544 (58.1%) were Asian or Pacific Islander, 91 (9.7%) were Black, 129 (13.8%) were Hispanic, 147 (15.7%) were White, and 25 (2.7%) self-reported as other race. The overall adherence rate was 38.8% (95% CI: 35.7, 41.9). The most common liver disease etiology was hepatitis B (60.6% [657 of 936 patients]); 19.7% of patients (183 of 936) had current or past substance use disorder, and 44.8% (416 of 936) smoked. At adjusted multivariable analysis, older age (odds ratio [OR], 1.20;

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsFemaleFollow-Up StudiesHumansMaleMiddle AgedPandemicsRetrospective StudiesAbdomen/GICirrhosisLiverMetabolic DisordersScreeningSocioeconomic IssuesUltrasound

Identifiers

PMID38214600
PMCPMC10825700

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.