Evidence map›Paper›PMID 38683607›Full record

ArticleJAMA network open2024

Hepatocellular Carcinoma Screening in a Contemporary Cohort of At-Risk Patients.

Darine Daher, Karim Seif El Dahan, Nicole E Rich, Nabihah Tayob, Vincent Merrill, Daniel Q Huang, Ju Dong Yang, Anand V Kulkarni, Fasiha Kanwal, Jorge Marrero and 2 more

Abstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Darine DaherDivision of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas.
Karim Seif El DahanDivision of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas.
Nicole E RichDivision of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas.
Nabihah TayobDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Vincent MerrillDivision of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas.
Daniel Q HuangDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ju Dong YangDepartment of Internal Medicine, Cedars Sinai Medical Center, Los Angeles, California.
Anand V KulkarniDepartment of Hepatology and Liver Transplantation, AIG Hospitals, Hyderabad India.
Fasiha KanwalSection of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Jorge MarreroDepartment of Internal Medicine, University of Pennsylvania, Philadelphia.
Neehar ParikhDepartment of Internal Medicine, University of Michigan, Ann Arbor.
Amit G SingalDivision of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas.

Funding

Risk Stratification for and Early Detection of Liver CancerU01CA230997 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Jagpreet Chhatwal, Hashem B El-Serag · 2018 to 2026
$6.4M
Genome-Wide Association Study (GWAS) in Hepatocellular Carcinoma (HCC)R01CA186566 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., HASSAN, MANAL METWALLY · 2015 to 2019
$3.6M
Precision Risk Stratification and Screening for HCC among Patients with Cirrhosis in the United StatesU01CA230694 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT · 2018 to 2022
$3.5M
Harms of Hepatocellular Carcinoma Screening in Patients with CirrhosisR01CA212008 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT · 2017 to 2022
$3.2M
Precision Screening for Hepatocellular Carcinoma in Patients with CirrhosisR01CA222900 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SINGAL, AMIT · 2018 to 2023
$2.4M
Biomarker screening algorithms for the improved early detection of hepatocellular carcinomaR01CA230503 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI TAYOB, NABIHAH · 2019 to 2025
$1.6M
NCI NIH HHS R01 CA186566NCI NIH HHS R01 CA212008NCI NIH HHS R01 CA222900NCI NIH HHS R01 CA230503NCI NIH HHS U01 CA230694NCI NIH HHS U01 CA230997
6 · The paper itself

Abstract

Importance: Cohort studies demonstrating an association of hepatocellular carcinoma (HCC) screening with reduced mortality are prone to lead-time and length-time biases. Objective: To characterize the clinical benefits of HCC screening, adjusting for lead-time and length-time biases, in a diverse, contemporary cohort of at-risk patients. Design, Setting, and Participants: This retrospective cohort study of patients with HCC was conducted between January 2008 and December 2022 at 2 large US health systems. Data analysis was performed from September to November 2023. Main Outcomes and Measures: The primary outcome was screen-detected HCC, defined by abnormal screening-intent abdominal imaging or α-fetoprotein level within 6 months before diagnosis. Cox regression analysis was used to characterize differences in overall survival between patients with screen-detected and non-screen-detected HCC; lead-time and length-time adjustments were calculated using the Duffy parametric formula. Results: Among 1313 patients with HCC (mean [SD] age, 61.7 [9.6] years; 993 male [75.6%]; 739 [56.3%] with Barcelona Clinic Liver Cancer stage 0/A disease), HCC was screen-detected in 556 (42.3%) and non-screen detected in 757 (57.7%). Patients with screen-detected HCC had higher proportions of early-stage HCC (393 patients [70.7%] vs 346 patients [45.7%]; risk ratio [RR], 1.54; 95% CI, 1.41-1.70) and curative treatment receipt (283 patients [51.1%] vs 252 patients [33.5%]; RR, 1.52; 95% CI, 1.34-1.74) compared with patients with non-screen-detected HCC. The screen-detected group had significantly lower mortality, which persisted after correcting for lead-time bias (hazard ratio, 0.75; 95% CI, 0.65-0.87) in fully adjusted models. Both groups had similar tumor doubling times (median [IQR], 3.8 [2.2-10.7] vs 5.6 [1.7-11.4] months) and proportions of indolent tumors (28 patients [35.4%] vs 24 patients [38.1%]; RR, 0.93; 95% CI, 0.60-1.43). Adjustment for length-time bias decreased survival estimates, although 3-year and 5-year survival for patients with screen-detected HCC remained longer than that for patients with non-screen-detected HCC. Conclusions and Relevance: The findings of this cohort study suggest that HCC screening is associated with reduced mortality even after accounting for lead-time and length-time biases. However, these biases should be considered in future studies.

Indexed as

Carcinoma, HepatocellularEarly Detection of CancerLiver NeoplasmsAgedalpha-FetoproteinsCohort StudiesFemaleHumansMaleMass ScreeningMiddle AgedRetrospective StudiesUnited Statesalpha-Fetoproteins

Identifiers

PMID38683607
PMCPMC11059036

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Registered trials

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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.