Evidence map›Paper›PMID 32071907›Full record

ReviewLiver cancer2020

Chinese Expert Consensus on Multidisciplinary Diagnosis and Treatment of Hepatocellular Carcinoma with Portal Vein Tumor Thrombus (2018 Edition).

Shuqun Cheng, Minshan Chen, Jianqiang Cai, Juxian Sun, Rongping Guo, Xinyu Bi, Wan Yee Lau, Mengchao Wu

Abstract readReview
In one paragraph

Review in Liver cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 4 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

107 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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47 more citing papers are in PubMed but not listed here.

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

8 authors.

Shuqun ChengaDepartment of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China.
Minshan ChenbDepartment of Hepatobiliary Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jianqiang CaicDepartment of Hepatobiliary Surgery, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Juxian SunaDepartment of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China.
Rongping GuobDepartment of Hepatobiliary Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xinyu BicDepartment of Hepatobiliary Surgery, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Wan Yee LauaDepartment of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China.
Mengchao WuaDepartment of Hepatic Surgery VI, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Portal vein tumor thrombus (PVTT) is very common, and it plays a major role in the prognosis and clinical staging of hepatocellular carcinoma (HCC). We have published the first version of the Consensus in 2016. Over the past several years, many new evidences for the treatment of PVTT become available especially for the advent of new targeted drugs which have further improved the prognosis of PVTT. So, the Chinese Association of Liver Cancer revised the 2016 version of consensus to adapt to the development of PVTT treatment. Future treatment strategies for HCC with PVTT in China would depend on new evidences from more future clinical trials.

Indexed as

ConsensusHepatocellular carcinomaMultidisciplinary therapyPortal vein tumor thrombus

Identifiers

PMID32071907
PMCPMC7024893

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.