Evidence map›Paper›PMID 23372352›Full record

ReviewWorld journal of gastroenterology2013

Clinicopathological characteristics in the differential diagnosis of hepatoid adenocarcinoma: a literature review.

Jiann-Sheng Su, Yu-Tso Chen, Ren-Ching Wang, Chun-Ying Wu, Shou-Wu Lee, Teng-Yu Lee

Abstract readReview
In one paragraph

Review in World journal of gastroenterology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing 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

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

  1. Pooled it
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  5. Imaging of pancreatic hepatoid adenocarcinoma: a scoping review.Quantitative imaging in medicine and surgery · 2026
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46 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.

Jiann-Sheng SuDivision of Gastroenterology and Hepatology, Kuang Tien General Hospital, Taichung 433, Taiwan.
Yu-Tso Chen
Ren-Ching Wang
Chun-Ying Wu
Shou-Wu Lee
Teng-Yu Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatoid adenocarcinoma (HAC) is a rare but important special type of extrahepatic adenocarcinoma with clinicopathological presentation mimicking hepatocellular carcinoma (HCC), and prompt and correct diagnosis can be a challenge, especially in endemic areas with a high incidence of HCC. To date, HAC has only been reported in case series or single case reports, so we aimed to review the clinicopathological characteristics of HAC to obtain a more complete picture of this rare form of extrahepatic adenocarcinoma. All the articles about HAC published from 2001 to 2011 were reviewed, and clinicopathological findings were extracted for analysis. A late middle-aged male with high serum α-fetoprotein and atypical image finding of HCC should raise the suspicion of HAC, and characteristic pathological immunohistochemical stains can help with the differential diagnosis. Novel immunohistochemical markers may be useful to clearly differentiate HAC from HCC. Once metastatic HAC is diagnosed, the primary tumor origin should be identified for adequate treatment. The majority of HAC originates from the stomach, so panendoscopy should be arranged first.

Indexed as

AdenocarcinomaAdultAgedAged, 80 and overAge Factorsalpha-FetoproteinsBiomarkers, TumorBiopsyCarcinoma, HepatocellularDiagnosis, DifferentialFemaleHumansLiver NeoplasmsMaleMiddle AgedSex Factorsalpha-FetoproteinsBiomarkers, TumorAlpha fetoproteinAlpha-fetoprotein-producing tumorGastric adenocarcinomaHepatocellular carcinomaPathology

Identifiers

PMID23372352
PMCPMC3554814

What OpenQuestion holds

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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.