Evidence map›Paper›PMID 37344125›Full record

ReviewCancer reports (Hoboken, N.J.)2023

Ethnic differences in hepatocellular carcinoma prevalence and therapeutic outcomes.

Vivek Chavda, Kelsee K Zajac, Jenna Lynn Gunn, Pankti Balar, Avinash Khadela, Dixa Vaghela, Shruti Soni, Charles R Ashby, Amit K Tiwari

Open access · goldAbstract readReview
In one paragraph

Review in Cancer reports (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Competing risk analysis of surgical resectionTranslational cancer research · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Liver cancer wars: plant-derived polyphenols strike back.Medical oncology (Northwood, London, England) · 2024
    Review
  15. Article
  16. Review
  17. Review
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

9 authors at 5 institutions in 2 countries.

Vivek ChavdaDepartment of Pharmaceutics and Pharmaceutical Technology, L M College of Pharmacy, Ahmedabad, India.
Kelsee K ZajacDepartment of Pharmacology and Experimental Therapeutics, College of Pharmacy and Pharmaceutical Sciences, University of Toledo, Ohio, USA.
Jenna Lynn GunnDepartment of Pharmacology and Experimental Therapeutics, College of Pharmacy and Pharmaceutical Sciences, University of Toledo, Ohio, USA.
Pankti BalarPharmacy Section, L M College of Pharmacy, Ahmedabad, India.
Avinash KhadelaDepartment of Pharmacology, L M College of Pharmacy, Ahmedabad, India.
Dixa VaghelaPharmacy Section, L M College of Pharmacy, Ahmedabad, India.
Shruti SoniPharmD Section, L M College of Pharmacy, Ahmedabad, India.
Charles R AshbyDepartment of Pharmaceutical Sciences, College of Pharmacy, St. John's University, New York, New York, USA.
Amit K TiwariDepartment of Pharmacology and Experimental Therapeutics, College of Pharmacy and Pharmaceutical Sciences, University of Toledo, Ohio, USA.ORCID 0000-0002-7427-7155
Ahmedabad University · INUniversity of Toledo · USB.J. Medical College · INHindu College of Pharmacy · INSt. John's University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide. The incidence of HCC is affected by genetic and non-genetic factors. Genetically, mutations in the genes, tumor protein P53 (TP53), catenin beta 1 (CTNNB1), AT-rich interaction domain 1A (ARIC1A), cyclin dependent kinase inhibitor 2A (CDKN2A), mannose 6-phosphate (M6P), smooth muscle action against decapentaplegic (SMAD2), retinoblastoma gene (RB1), cyclin D, antigen presenting cells (APC), AXIN1, and E-cadherin, have been shown to contribute to the occurrence of HCC. Non-genetic factors, including alcohol consumption, exposure to aflatoxin, age, gender, presence of hepatitis B (HBV), hepatitis C (HCV), and non-alcoholic fatty liver disease (NAFLD), increase the risk of HCC. RECENT

findingsThe severity of the disease and its occurrence vary based on geographical location. Furthermore, men and minorities have been shown to be disproportionately affected by HCC, compared with women and non-minorities. Ethnicity has been reported to significantly affect tumorigenesis and clinical outcomes in patients diagnosed with HCC. Generally, differences in gene expression and/or the presence of comorbid medical diseases affect or influence the progression of HCC. Non-Caucasian HCC patients are significantly more likely to have poorer survival outcomes, compared to their Caucasian counterparts. Finally, there are a number of factors that contribute to the success rate of treatments for HCC.

conclusionAssessment and treatment of HCC must be consistent using evidence-based guidelines and standardized outcomes, as well as international clinical practice guidelines for global consensus. Standardizing the assessment approach and method will enable comparison and improvement of liver cancer research through collaboration between researchers, healthcare providers, and advocacy groups. In this review, we will focus on discussing epidemiological factors that result in deviations and changes in treatment approaches for HCC.

Indexed as

Carcinoma, HepatocellularHepatitis BHepatitis CLiver NeoplasmsFemaleHumansMalePrevalenceTreatment Outcomehepatocellular carcinomaliver cancerracial disparitytherapeutic outcomes

Identifiers

PMID37344125
PMCPMC10440848
OpenAlexW4381597859

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.