Evidence map›Paper›PMID 31651371›Full record

ArticleCancer communications (London, England)2019

Incidence trends and survival prediction of hepatoblastoma in children: a population-based study.

Jincheng Feng, Georgios Polychronidis, Ulrike Heger, Giovanni Frongia, Arianeb Mehrabi, Katrin Hoffmann

Open access · goldAbstract read
In one paragraph

Article in Cancer communications (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 1 pooled it
11.3field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 1 synthesis or guideline pooled it, 180 citations in OpenAlex.

  1. Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Pooled it
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  9. Barriers to implementing AI in pediatric cancer imaging.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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27 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 2 countries.

Jincheng FengDepartment of General, Visceral and Transplant Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Georgios PolychronidisDepartment of General, Visceral and Transplant Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Ulrike HegerDepartment of General, Visceral and Transplant Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Giovanni FrongiaDepartment of Pediatric Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Arianeb MehrabiDepartment of General, Visceral and Transplant Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
Katrin HoffmannDepartment of General, Visceral and Transplant Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany. Katrin.Hoffmann@med.uni-heidelberg.de.
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatoblastoma is a rare disease that nevertheless accounts for the majority of liver malignancies in children. Due to limited epidemiological data, therapy for hepatoblastoma tends to be individualized. This study aimed to evaluate incidence trends of hepatoblastoma and to develop a nomogram to predict the survival of children with newly diagnosed hepatoblastoma on a population-based level.

methodsIndividuals up to 18 years of age with hepatoblastoma recorded in 18 registries of the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015 were examined. Joinpoint regression analyses were applied to assess incidence trends in annual percentage change (APC). Multivariable Cox regression was used to identify factors associated with overall survival (OS). A nomogram was constructed to predict OS in individual cases based on independent predictors. Concordance index (C-index) and calibration curves were used to evaluate predictive performance.

resultsBetween 2004 and 2015, hepatoblastoma incidence increased significantly (APC, 2.2%; 95% confidence interval [CI] 0.5% to 3.8%, P < 0.05). In particular, this increase was observed among 2- to 4-year-old patients, males, and African-Americans. The 5- and 10-year OS rates were 81.5% and 81.0%, respectively. Age of 2 to 4 years, African-American ethnicity, and no surgery were independent predictors for short OS. Distant disease at presentation was found not to be an independent factor of survival. The nomogram had a C-index of 0.79 (95% CI 0.74-0.84) with appropriate calibration curve fitting.

conclusionsWe constructed a nomogram that integrates common factors associated with survival for hepatoblastoma patients. It provides accurate prognostic prediction for children with hepatoblastoma.

Indexed as

AdolescentChildChild, PreschoolFemaleHepatoblastomaHumansIncidenceInfantInfant, NewbornLiver NeoplasmsMaleNomogramsProportional Hazards ModelsSEER ProgramHepatoblastomaIncidenceLiver surgeryLiver transplantationNomogramOverall survivalPediatric surgerySEER

Identifiers

PMID31651371
PMCPMC6813130
OpenAlexW2981785059

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.