Evidence map›Paper›PMID 23043662›Full record

ArticleHPB : the official journal of the International Hepato Pancreato Biliary Association2012

Inverse relationship between cirrhosis and massive tumours in hepatocellular carcinoma.

Umut Sarpel, Diego Ayo, Iryna Lobach, Ruliang Xu, Elliot Newman

Abstract read
In one paragraph

Article in HPB : the official journal of the International Hepato Pancreato Biliary Association, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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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.

Umut SarpelDepartment of Surgery, Mount Sinai School of Medicine, New York, NY, USA. umut.sarpel@mountsinai.org
Diego Ayo
Iryna Lobach
Ruliang Xu
Elliot Newman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA subset of patients with hepatocellular carcinoma (HCC) present with massive tumours. It is unknown why certain patients develop these massive tumours, and whether this presentation is specific to the underlying viral aetiology or patient demographics such as gender, race and age.

methodsAll patients with HCC at Bellevue Hospital Center, New York from 1998 to 2012 were identified and relevant demographic and clinical information was collected. Computed tomography/magnetic resonance imaging (CT/MRI) images were reviewed and the maximal tumour diameter on axial sections was recorded. Cirrhosis was defined histologically or by radiographical criteria. The two cohorts of massive and non-massive HCC were compared.

resultsA total of 361 patients with HCC were identified, of which 58 were categorized as having a massive HCC using a 13 cm size cut-off. Univariate and multivariate analysis demonstrated a significant association of massive HCC with age <40 years; hepatitis B or Asian ethnicity; and a lack of cirrhosis or platelet count >100. DISCUSSION: Massive HCC represents a tumour subtype that is associated with young, chronic hepatitis B carriers with non-cirrhotic livers. The clinical implications of this finding are that patients with massive HCC are typically excellent resection candidates barring the presence of gross vascular invasion or distant metastases.

Indexed as

Tumor BurdenAdultAge FactorsAsian PeopleCarcinoma, HepatocellularChi-Square DistributionFemaleHepatitis B, ChronicHumansLiver CirrhosisLiver NeoplasmsLogistic ModelsMagnetic Resonance ImagingMaleMiddle AgedMultivariate Analysis

Identifiers

PMID23043662
PMCPMC3482669

What OpenQuestion holds

Textmetadata
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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.