Evidence map›Paper›PMID 19399516›Full record

ReviewJournal of cancer research and clinical oncology2009

Experimental models of hepatocellular carcinoma: developments and evolution.

Long Wu, Zhao-You Tang, Yan Li

Abstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Establishment of experimental implantation tumor models of hepatocellular carcinoma in Wistar rats.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Hepatocellular carcinoma: insight from animal models.Nature reviews. Gastroenterology & hepatology · 2011
    Review
  13. Article
  14. Article
  15. Article
  16. Article
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

3 authors.

Long WuDepartment of Oncology, Zhongnan Hospital of Wuhan University and Hubei Key Laboratory of Tumour Biological Behaviors, No 169 Donghu Road, Wuchang District, 430071 Wuhan, China.
Zhao-You Tang
Yan Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignancies in the world. The biological mechanisms of hepatocarcinogenesis and progression are poorly understood. Experimental models of HCC provide valuable tools to evaluate the risk factors, new treatment modalities and biologic characteristics. Under the constant evolution in model design and technology development, new experimental models continue to emerge, including spontaneous models, induced models, viral models, transplantable models, and genetically engineered models. These models are used as tools to investigate basic biological mechanisms of growth and differentiation, oncogene function, and as systems to test new diagnostic and therapeutic approaches. Each model has its own advantages and disadvantages. The progress in HCC model construction and studies are summarized in this review.

Indexed as

AnimalsCarcinoma, HepatocellularDisease Models, AnimalHepacivirusHepatitis B virusHumansLiver NeoplasmsLiver Neoplasms, ExperimentalModels, Biological

Identifiers

PMID19399516
PMCPMC12160148

What OpenQuestion holds

Textmetadata
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.