Evidence map›Paper›PMID 37066834›Full record

ArticleThe British journal of radiology2023

Contrast-enhanced ultrasound liver imaging reporting and data system v2017: patient outcomes after treatment for early-stage hepatocellular carcinoma nodules with category 3-5 and category M.

Yi-Xin Hu, Cui-Ju Yan, Miao Yun, Wei Zheng, Xue-Bin Zou, Ya-Fang Zhang, Ru-Shuang Mao, Ling-Ling Li, Jian-Hua Zhou

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 3 institutions in 1 country.

Yi-Xin HuDepartment of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Cui-Ju YanDepartment of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Miao YunDepartment of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Wei ZhengDepartment of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Xue-Bin ZouDepartment of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Ya-Fang ZhangDepartment of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Ru-Shuang MaoDepartment of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Ling-Ling LiDepartment of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Jian-Hua ZhouDepartment of Ultrasound, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CNState Key Laboratory of Oncology in South China

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate correlation between contrast-enhanced ultrasonography Liver Imaging Reporting and Data System (CEUS LI-RADS; v. 2017) categories (LR 3-5

methodsIn this retrospective study, 272 patients with high risks for HCC and solitary clinically or pathologically confirmed HCC were identified between January 2010 and December 2015. Patients were initially treated by resection and radiofrequency ablation (RFA) according to the Barcelona Clinic Liver Cancer staging system and were followed up until December 31, 2018. Recurrence-free survival (RFS) and overall survival (OS) were compared between nodules assigned as LR 3-5 or LR M according to CEUS LI-RADS v. 2017 by using the Kaplan-Meier curve, log-rank test, and Cox proportional hazard model.

resultsEarly washout is the key determinating whether a nodule is classed as LR-M. Treatment procedures and LI-RADS category showed an independent correlation with OS and RFS (

conclusionPatients with HCC assigned as LR-M showed worse RFS and OS and surgical resection tended to be a more effective treatment for these patients. ADVANCES IN KNOWLEDGE: Putting forward a theory that CEUS LI-RADS categories could independently predict the outcome for patients with solitary HCC at early-stage after initial treatment.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsContrast MediaHumansMagnetic Resonance ImagingRetrospective StudiesSensitivity and SpecificityUltrasonographyContrast Media

Identifiers

PMID37066834
PMCPMC10321252
OpenAlexW4366082695

What OpenQuestion holds

Textmetadata
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.