Evidence map›Paper›PMID 27531119›Full record

ArticleHepatology (Baltimore, Md.)2017

Identifying barriers to hepatocellular carcinoma surveillance in a national sample of patients with cirrhosis.

David S Goldberg, Tamar H Taddei, Marina Serper, Rajni Mehta, Eric Dieperink, Ayse Aytaman, Michelle Baytarian, Rena Fox, Kristel Hunt, Marcos Pedrosa and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Hepatology (Baltimore, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

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

  1. [Guideline for stratified screening and surveillance of primary liver cancer(2020 Edition)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
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  8. Dedicated Automatic Recall Hepatocellular Cancer Surveillance Programme Demonstrates High Retention: A Population-Based Cohort Study.Liver international : official journal of the International Association for the Study of the Liver · 2025
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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

David S GoldbergDivision of Gastroenterology, University of Pennsylvania, Philadelphia, PA.
Tamar H TaddeiVA Connecticut-Healthcare System, West Haven, CT.
Marina SerperDivision of Gastroenterology, University of Pennsylvania, Philadelphia, PA.
Rajni MehtaVA Connecticut-Healthcare System, West Haven, CT.
Eric DieperinkMinneapolis VA Health Care System, Minneapolis, MN.
Ayse AytamanVA New York Harbor Health Care System, Brooklyn, NY.
Michelle BaytarianBoston VA Healthcare System, Boston, MA.
Rena FoxSan Francisco VA Medical Center, San Francisco, CA.
Kristel HuntJames J. Peters VA Medical Center, Bronx, NY.
Marcos PedrosaBoston VA Healthcare System, Boston, MA.
Christine PochaUniversity of Bern, Bern, Switzerland.
Adriana ValderramaBayer HealthCare Pharmaceuticals, Whippany, NJ.
David E KaplanDivision of Gastroenterology, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0002-3839-336X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a leading cause of morbidity and mortality in cirrhosis patients. This provides an opportunity to target the highest-risk population, yet surveillance rates in the United States and Europe range from 10% to 40%. The goal of this study was to identify barriers to HCC surveillance, using data from the Veterans Health Administration, the largest provider of liver-related health care in the United States. We included all patients 75 years of age or younger who were diagnosed with cirrhosis from January 1, 2008, until December 31, 2010. The primary outcome was a continuous measure of the percentage of time up-to-date with HCC surveillance (PTUDS) based on abdominal ultrasound (secondary outcomes included computed tomography and magnetic resonance imaging). Among 26,577 patients with cirrhosis (median follow-up = 4.7 years), the mean PTUDS was 17.8 ± 21.5% (ultrasounds) and 23.3 ± 24.1% when any liver imaging modality was included. The strongest predictor of increased PTUDS was the number of visits to a specialist (gastroenterologist/hepatologist and/or infectious diseases) in the first year after cirrhosis diagnosis; the association between visits to a primary care physician and increasing surveillance was very small. Increasing distance to the closest Veterans Administration center was associated with decreased PTUDS. There was an inverse association between ultrasound lead time (difference between the date an ultrasound was ordered and requested exam date) and the odds of it being performed: odds ratio = 0.77, 95% confidence interval 0.72-0.82 when ordered > 180 days ahead of time; odds ratio = 0.90, 95% confidence interval 0.85-0.94 if lead time 91-180 days.

conclusionsThe responsibility for suboptimal surveillance rests with patients, providers, and the overall health care system; several measures can be implemented to potentially increase HCC surveillance, including increasing patient-specialist visits and minimizing appointment lead time. (Hepatology 2017;65:864-874).

Indexed as

AgedAge FactorsCarcinoma, HepatocellularCohort StudiesEarly Detection of CancerFemaleHumansLinear ModelsLiver CirrhosisLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingPopulation SurveillancePrevalence

Identifiers

PMID27531119

What OpenQuestion holds

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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.