Evidence map›Paper›PMID 23957569›Full record

SynthesisAlimentary pharmacology & therapeutics2013

Meta-analysis: underutilisation and disparities of treatment among patients with hepatocellular carcinoma in the United States.

D Tan, A Yopp, M S Beg, P Gopal, A G Singal

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Alimentary pharmacology & therapeutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 4 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

68 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Racial and Ethnic Disparities in Survival among Patients with Cholangiocarcinoma in the United States: A Systematic Review and Meta-analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Pooled it
  2. Racial and Ethnic Disparities in Hepatocellular Carcinoma Treatment Receipt in the United States: A Systematic Review and Meta-Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Pooled it
  3. Racial and Ethnic Disparities in Survival Among Patients With Hepatocellular Carcinoma in the United States: A Systematic Review and Meta-Analysis.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022
    Pooled it
  4. Pooled it
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  14. Sex and gender disparities in hepatocellular carcinoma: insights into risk, diagnosis, and therapeutic outcomes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Review
  15. Article
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  20. Article

8 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

5 authors.

D TanSchool of Public Health, UNT Health Science Center, Fort Worth, TX, USA.
A Yopp
M S Beg
P Gopal
A G Singal

Funding

UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
North and Central Texas Clinical and Translational Science Initiative (KL2)KL2RR024983 · NCRR · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2007 to 2011
$4.3M
UT Southwestern Center for Translational Medicine (UL1/KL2/TL1KL2TR001103 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$4.0M
UT-Southwestern Clinical and Translational Alliance for Research (UT-STAR) (TL1)KL2TR000453 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2012 to 2012
$456k
NCATS NIH HHS KL2 TR000453NCATS NIH HHS KL2TR000453NCATS NIH HHS KL2 TR001103NCATS NIH HHS UL1 TR001105NCRR NIH HHS KL2 RR024983
6 · The paper itself

Abstract

backgroundDespite wide availability of treatment options for hepatocellular carcinoma (HCC), several studies have suggested underutilisation in clinical practice.

aimsTo quantify utilisation rates for HCC treatment among patients with HCC in the United States, and to summarise patterns of association between utilisation rates and patient socio-demographic characteristics.

methodsWe performed a systematic literature review using the Medline database from January 1989 to March 2013. Two investigators independently extracted data on patient populations, study methods and results using standardised forms. Pooled treatment rates for any treatment and curative treatment, with 95% confidence intervals, were calculated. Prespecified subgroup analysis was performed to identify patient-level correlates of treatment utilisation.

resultsWe identified 24 studies that met inclusion criteria. The pooled rates of any treatment and curative treatment were 52.8% (95% CI 52.2-53.4%) and 21.8% (95% CI 21.4-22.1%) respectively. Among patients diagnosed at an early stage, the pooled curative treatment rate was 59.0% (95% CI 58.1-59.9%). Elderly, non-Caucasians and patients of low socioeconomic status had lower treatment rates than their counterparts.

conclusionsRates of HCC treatment in the United States, including curative treatment rates among patients detected at an early stage, are disappointingly low. Future efforts should focus on identifying appropriate intervention targets to increase treatment rates and reduce socio-demographic disparities.

Indexed as

AgedCarcinoma, HepatocellularHealthcare DisparitiesHumansLiver NeoplasmsSocioeconomic FactorsUnited States

Identifiers

PMID23957569
PMCPMC3777750

What OpenQuestion holds

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LicenceTDM
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.