Evidence map›Paper›PMID 33418899›Full record

ReviewInternational journal of molecular sciences2021

Risk Factors and Biomarkers for Chronic Hepatitis B Associated Hepatocellular Carcinoma.

Vijay Pandyarajan, Rajalakshmi Govalan, Ju Dong Yang

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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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

3 authors.

Vijay PandyarajanDivision of Gastroenterology and Hepatology, Samuel Oschin Comprehensive Cancer Institute, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Rajalakshmi GovalanDivision of Gastroenterology and Hepatology, Samuel Oschin Comprehensive Cancer Institute, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Ju Dong YangDivision of Gastroenterology and Hepatology, Samuel Oschin Comprehensive Cancer Institute, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

Funding

American College of Gastroenterology NACedars-Sinai Clinical Scholar award NADepartment of Defense Peer Reviewed Cancer Research Program Career Development Award NA
6 · The paper itself

Abstract

Globally, hepatitis B virus (HBV) related hepatocellular carcinoma (HCC) is one of the major causes of cancer-related mortality. This is, in part, due to delayed diagnosis and limited therapeutic options with more advanced stages of the disease. Given the prognostic importance of early diagnosis, novel methods for early detection are in need. Unlike most other cancer types, tissue is not required to diagnose HCC and is frequently avoided given the inherent risks of liver biopsy, so less invasive methods of obtaining tumor material are currently under investigation. Material shed from tumors into the periphery are being investigated for their potential to both surveil and diagnose patients for HCC. These materials include circulating tumor cells, DNA, RNA, and exosomes, and are collectively termed a "liquid biopsy". In this review article, we discuss the evolving literature regarding the different risk factors for HCC and the types of emerging novel biomarkers that show promise in the prevention and early diagnosis of HCC within the context of HBV infection.

Indexed as

BiomarkersBlood ProteinsCarcinoma, HepatocellularHepatitis B, ChronicHumansLiquid BiopsyLiverLiver NeoplasmsNeoplastic Cells, CirculatingRisk FactorsBiomarkersBlood Proteinsbiomarkerearly detectionHBVHCCliquid biopsyliver cancerrisk factor

Identifiers

PMID33418899
PMCPMC7825109

What OpenQuestion holds

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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.