Evidence map›Paper›PMID 30202827›Full record

ArticleHepatology communications2018

Advanced Hepatocellular Carcinoma Tumor Stage at Diagnosis in the 1945-1965 Birth Cohort Reflects Poor Use of Hepatocellular Carcinoma Screening.

Ann Robinson, Hesam Tavakoli, Benny Liu, Taft Bhuket, Robert J Wong

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ann RobinsonDepartment of Medicine, Division of Gastroenterology and Hepatology Alameda Health System - Highland Hospital Oakland CA.
Hesam TavakoliDepartment of Medicine, Division of Gastroenterology and Hepatology Alameda Health System - Highland Hospital Oakland CA.
Benny LiuDepartment of Medicine, Division of Gastroenterology and Hepatology Alameda Health System - Highland Hospital Oakland CA.
Taft BhuketDepartment of Medicine, Division of Gastroenterology and Hepatology Alameda Health System - Highland Hospital Oakland CA.
Robert J WongDepartment of Medicine, Division of Gastroenterology and Hepatology Alameda Health System - Highland Hospital Oakland CA.ORCID 0000-0002-8923-2806
Alameda Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals from the 1945-1965 birth cohort account for the majority of hepatocellular carcinoma (HCC) cases in the United States. Understanding trends in HCC among this birth cohort is vital given the increasing burden of chronic liver disease among this group. We retrospectively evaluated trends and disparities in HCC tumor stage at the time of diagnosis among the 1945-1965 birth cohort in the United States using the Surveillance, Epidemiology, and End Results (SEER) cancer registry. Tumor stage at the time of HCC diagnosis was assessed using Milan criteria and SEER HCC staging systems. Among 38,045 patients with HCC within the 1945-1965 birth cohort (81.6% male, 50.1% non-Hispanic white, 16.2% African American, 12.6% Asian, 19.8% Hispanic), 66.2% had Medicare or commercial insurance, 27.2% had Medicaid, and 6.6% were uninsured. During the period 2004-2006 to 2013-2014, the number of patients with HCC from the 1945-1965 birth cohort increased by 58.7% (5.9% increase per year). While the proportion of patients with HCC within the Milan criteria increased with time (36.4% in 2003-2006 to 46.3% in 2013-2014;

Identifiers

PMID30202827
PMCPMC6128228
OpenAlexW2889488909

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.