Evidence map›Paper›PMID 37710379›Full record

ArticleJournal of liver cancer2023

Imaging prognostication and tumor biology in hepatocellular carcinoma.

Diana Kadi, Marilyn F Yamamoto, Emily C Lerner, Hanyu Jiang, Kathryn J Fowler, Mustafa R Bashir

Open access · diamondAbstract read
In one paragraph

Article in Journal of liver cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Improving surgical treatments for hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2026
    Review
  3. Article
  4. Article
  5. MRI Imaging Biomarkers for Prognostication of Hepatocellular Carcinoma.Journal of the Korean Society of Radiology · 2025
    Review
  6. 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

6 authors at 4 institutions in 2 countries.

Diana KadiDepartment of Radiology, Duke University Medical Center, Durham, NC, USA.
Marilyn F YamamotoDepartment of Radiology, Duke University School of Medicine, Durham, NC, USA.
Emily C LernerDepartment of Radiology, Duke University School of Medicine, Durham, NC, USA.
Hanyu JiangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Kathryn J FowlerDepartment of Radiology, University of California San Diego, San Diego, CA, USA.
Mustafa R BashirDepartment of Radiology, Duke University, Durham, NC, USA.
Duke University · USDuke Medical Center · USSichuan University · CNUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common primary liver malignancy, and represents a significant global health burden with rising incidence rates, despite a more thorough understanding of the etiology and biology of HCC, as well as advancements in diagnosis and treatment modalities. According to emerging evidence, imaging features related to tumor aggressiveness can offer relevant prognostic information, hence validation of imaging prognostic features may allow for better noninvasive outcomes prediction and inform the selection of tailored therapies, ultimately improving survival outcomes for patients with HCC.

Indexed as

Carcinoma, hepatocellularImagingPrognosisSubtypes

Identifiers

PMID37710379
PMCPMC10565542
OpenAlexW4386757784

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.