Evidence map›Paper›PMID 41476582›Full record

ArticleFrontiers in oncology2025

What can claims data tell us about risk factors and survival of patients with hepatocellular carcinoma? Insights from a German population-based study.

Selina Becht, Najib Ben Khaled, Simone Schrodi, Michael von Bergwelt-Baildon, Peter Buggisch, Alexander Crispin, Wolf-Peter Hofmann, Ursula Marschall, Julia Mayerle, Bernhard Mörtl and 6 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

16 authors.

Selina BechtDepartment of Medicine III, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Najib Ben KhaledDepartment of Medicine II, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Simone SchrodiDepartment of Medicine III, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Michael von Bergwelt-BaildonDepartment of Medicine III, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Peter Buggischifi-Institute for Interdisciplinary Medicine, Hamburg, Germany.
Alexander CrispinDepartment for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians University, Munich, Germany.
Wolf-Peter HofmannAssociation of Gastroenterologists in Private Practice, Berufsverband Niedergelassener Gastroenterologen Deutschlands, Ulm, Germany.
Ursula MarschallBARMER, Wuppertal, Germany.
Julia MayerleDepartment of Medicine II, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Bernhard MörtlDepartment of Medicine III, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Sami OrabiDepartment of Medicine III, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Alexander PhilippDepartment of Medicine II, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Jörg TrojanMedical Clinic I, University Hospital, Goethe University Frankfurt, Frankfurt, Germany.
Tobias WeigleinDepartment of Medicine III, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Enrico N De ToniDepartment of Medicine II, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.
Karin Berger-ThürmelDepartment of Medicine III, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Geographic and temporal variations in the incidence and treatment of chronic viral hepatitis and trends in the development of metabolic and behavioral risk factors result in heterogeneous incidences of hepatocellular carcinoma (HCC). Therefore, national epidemiological information should be evaluated to identify the need for action. Methods: This retrospective observational study included adult patients with incident HCC (2016-2020). A network analysis was performed to investigate inter-relationships among risk factor diagnoses before HCC. Kaplan-Meier method and Cox proportional hazard model were used to analyze survival. Findings: A total of 2,778 patients were included. Mean age was 71.9 years (SD ±9.7); 69% were male. Most frequently documented risk factor diagnoses were diabetes mellitus (76%), obesity (56%), liver fibrosis/cirrhosis (44%), and alcohol abuse (36%). Hepatitis B and C were documented in 4% and 11% of patients. Behavioral and metabolic risk factors were 1.1-1.9-fold more frequent in men. Diabetes mellitus was the most central risk factor diagnosis co-occurring with other metabolic and behavioral risk factors. Median survival was 8.7 months. Interpretation: In this German cohort, risk factor diagnoses before HCC were multifactorial, with metabolic diseases most frequently co-occurring. Survival after HCC was poor. Controlling metabolic risk factors and surveilling at-risk populations are crucial to mitigating the incidence and improving the survival of HCC patients in Germany. Analyzing claims data enabled efficient and effective generation of epidemiological real-world evidence.

Indexed as

cancer epidemiologyhepatocellular carcinomametabolic risk factorsreal-world evidencesecondary data

Identifiers

PMID41476582
PMCPMC12750458

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