Evidence map›Paper›PMID 36684155›Full record

ArticleFrontiers in surgery2022

Preoperative prediction of early recurrence of HBV-related hepatocellular carcinoma (≤5 cm) by visceral adipose tissue index.

Zong-Qian Wu, Jie Cheng, Xi-Xi Xiao, Hua-Rong Zhang, Jian Wang, Juan Peng, Chen Liu, Ping Cai, Xiao-Ming Li

Abstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Zong-Qian WuDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Jie ChengDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Xi-Xi XiaoDepartment of Oncology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Hua-Rong ZhangInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Jian WangDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Juan PengDepartment of Radiology, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China.
Chen LiuDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Ping CaiDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Xiao-Ming LiDepartment of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to investigate whether visceral adipose tissue index (VATI) is a significant risk factor for the early recurrence (ER) of HBV-related hepatocellular carcinoma (HCC) (≤5 cm) after hepatectomy. Methods: The recruited cohort patients who were positive for hepatitis B virus, presented with surgically confirmed HCC (≤5 cm) from Army Medical University (internal training cohort: Results: Univariate analysis showed that alpha-fetoprotein levels ( Conclusion: VATI was an independent risk factor for the ER, and higher VATI was closely related to poor outcomes after hepatectomy for HBV-related HCC (≤5 cm).

Indexed as

abdominal adipose tissuecomputed tomographyearly recurrenceHBVHCCvisceral adipose tissue

Identifiers

PMID36684155
PMCPMC9852492

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.