Evidence map›Paper›PMID 29525632›Full record

ArticleTranslational oncology2018

CLEC1B Expression and PD-L1 Expression Predict Clinical Outcome in Hepatocellular Carcinoma with Tumor Hemorrhage.

Kuan Hu, Zhi-Ming Wang, Juan-Ni Li, Sai Zhang, Zhong-Fu Xiao, Yi-Ming Tao

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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  11. Establishment and Validation of the LI-RADS Morphologic Type II Hepatocellular Carcinoma Early Recurrence Risk Scoring System.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
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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

6 authors at 2 institutions in 1 country.

Kuan HuDepartment of Hepatobiliary Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhi-Ming WangDepartment of Hepatobiliary Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Juan-Ni LiDepartment of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Sai ZhangInstitute of Medical Sciences, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhong-Fu XiaoDepartment of Anesthesiology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yi-Ming TaoDepartment of Hepatobiliary Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China. Electronic address: yimingtao@csu.edu.cn.
Central South University · CNXiangya Hospital Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous tumor hemorrhage (TH) is frequently observed in solid tumors including human hepatocellular carcinoma (HCC). TH implies fast-growing and worse tumor immunological microenvironment; however, the underlying mechanism remains largely unknown. CLEC1B is a signature gene highly associated with tumor progression. PD-L1 expression is a key biomarker predictive of immune checkpoint therapies, which showed astonishing effect on various types of tumor. We assume that, in HCC, TH may closely associate with the expression of these two molecules. In this study, 136 patients with HCC were enrolled. qRT-PCR showed that CLEC1B expression is significantly lower in HCC tumor tissue. Immunohistochemistry of HCC tissue microarrays demonstrated that PD-L1

Identifiers

PMID29525632
PMCPMC5884195
OpenAlexW2789456124

What OpenQuestion holds

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Registered trials

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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.