Evidence map›Paper›PMID 35117646›Full record

ArticleTranslational cancer research2020

Clinical management of vascular lake during transarterial chemoembolization with CalliSpheres drug-eluting beads (DEBs) for the treatment of hepatocellular carcinoma.

Jian Kong, Xiongying Jiang, Yanfang Zhang, Weidong Wang, Yong Li, Xinying Shen, Jianxi Guo, Hongliang Sun, Dong Chen, Yaoting Chen and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Jian Kong *Department of Interventional Radiology, The First Affiliated Hospital of South University of Science and Technology, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen 518020, China.
Xiongying Jiang *Department of Interventional Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510210, China.
Yanfang ZhangDepartment of Interventional Radiology, The First Affiliated Hospital of South University of Science and Technology, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen 518020, China.
Weidong WangDepartment of Interventional Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510210, China.
Yong LiDepartment of Interventional Radiology, The First Affiliated Hospital of South University of Science and Technology, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen 518020, China.
Xinying ShenDepartment of Interventional Radiology, The First Affiliated Hospital of South University of Science and Technology, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen 518020, China.
Jianxi GuoDepartment of Interventional Radiology, The First Affiliated Hospital of South University of Science and Technology, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen 518020, China.
Hongliang SunDepartment of Interventional Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510210, China.
Dong ChenDepartment of Interventional Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510210, China.
Yaoting ChenDepartment of Interventional Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510210, China.
Linfeng XuDepartment of Interventional Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510210, China.
Jinan University · CNSun Yat-sen University · CNSun Yat-sen Memorial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo summarize the incidence and management strategy of vascular lake (VL) during the treatment of hepatocellular carcinoma (HCC) using transarterial chemoembolization (TACE) with CalliSpheres drug-eluting beads (DEBs), and to analyze its relationship with tumor response rate (RR). The etiology and clinical significance of VL were also analyzed based on the available literature.

methodsThe clinical data of 92 HCC patients who were treated with chemoembolization using CalliSpheres DEBs (DEB-TACE) in two centers were retrospectively analyzed. All 92 patients were treatment-naïve and treated by DEB-TACE. The incidence of VL and its clinical treatment during the first embolization session were summarized. The lesions were divided into a VL group and a non-VL group to analyze the relationship between VL and tumor RR.

resultsThe embolization was successful in 98.9% of patients (91/92). A total of 33 VLs (18.4%; including 15 stable and 18 unstable VLs) were found among the 179 nodules treated. The unstable VLs were further embolized with embolic agent. One patient with unstable VL developed bleeding due to hepatic rupture and died. During the follow-up, residual tumors were found around 2 stable VLs, 2 lesions in 2 patients were treated with CT-guided radiofrequency ablation. The tumor RR was 84.4% in VL group, which was significantly higher than that (58.9%) in the non-VL group (P=0.007).

conclusionsVL is a unique phenomenon during DEB-TACE. It may be accompanied by residual tumors and bleeding due to rupture. Therefore, VL should be cautiously managed in clinical practice.

Indexed as

CalliSphereschemoembolizationdrug-eluting beads (DEBs)Hepatocellular carcinoma (HCC)vascular lake

Identifiers

PMID35117646
PMCPMC8797364
OpenAlexW3015891415

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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.