Evidence map›Paper›PMID 39080787›Full record

ArticleEuropean journal of medical research2024

Early prediction of microvascular invasion (MVI) occurrence in hepatocellular carcinoma (HCC) by

Tianyi Wang, Xue Chen, Huan Huang, Ningyang Jia

Abstract read
In one paragraph

Article in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Prognostic Value ofCancers · 2026
    Article
  3. An exploratory nomogram model withJournal of gastrointestinal oncology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. 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

4 authors.

Tianyi Wang *Department of Imaging and Nuclear Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 200438, China.
Xue Chen *Department of Imaging and Nuclear Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 200438, China.
Huan Huang *Department of Imaging and Nuclear Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 200438, China.
Ningyang JiaDepartment of Imaging and Nuclear Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 200438, China. ningyangjia@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatocellular carcinoma (HCC) is one of the deadliest malignant tumors in China. Microvascular invasion (MVI) often indicates poor prognosis and metastasis in HCC patients. PURPOSE: This study attempted to predict the occurrence of MVI in early-stage HCC through PATIENTS AND

methodsA total of 113 patients who met the inclusion criteria were divided into two groups based on postoperative pathology: the MVI-positive group and MVI-negative group. We retrospectively analyzed the imaging findings and laboratory data of 113 patients. Imaging findings included tumor size, tumor

resultsThe SUV

conclusionActive tumor metabolism and high AFP levels can predict the occurrence of MVI in HCC patients.

Indexed as

Carcinoma, HepatocellularFluorodeoxyglucose F18Liver NeoplasmsNeoplasm InvasivenessPositron Emission Tomography Computed TomographyAdultAgedalpha-FetoproteinsFemaleHumansMaleMicrovesselsMiddle AgedPrognosisRadiopharmaceuticalsRetrospective Studiesalpha-FetoproteinsFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTHepatocellular carcinomaMicrovascular invasion

Identifiers

PMID39080787
PMCPMC11290007

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.