Evidence map›Paper›PMID 30271502›Full record

ArticleJournal of Cancer2018

High expression of

Dalong Cao, Yuanyuan Qu, Xuan Zhang, Fujiang Xu, Shuxian Zhou, Guiming Zhang, Bo Dai, Yao Zhu, Guohai Shi, Yijun Shen and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 84% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

14 authors at 3 institutions in 1 country.

Dalong CaoDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Yuanyuan QuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Xuan ZhangThe State Key Laboratory of Genetic Engineering and Collaborative Innovation Center of Genetics & Development, School of Life Sciences, Fudan University, Shanghai 200433, China.
Fujiang XuInstitutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Shuxian ZhouInstitutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Guiming ZhangDepartment of Urology, The affiliated hospital of Qingdao University, Shandong, 266071, China.
Bo DaiDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Yao ZhuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Guohai ShiDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Yijun ShenDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Yiping ZhuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Hailiang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Dingwei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Jianyuan ZhaoThe State Key Laboratory of Genetic Engineering and Collaborative Innovation Center of Genetics & Development, School of Life Sciences, Fudan University, Shanghai 200433, China.
Shanghai Medical College of Fudan University · CNFudan University · CNFudan University Shanghai Cancer Center · CN

Funding

Role of BK Channel Interactome in Excessive Ethanol DrinkingU01AA020913 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI CONTET, CANDICE · 2011 to 2015
$1.3M
NIAAA NIH HHS U01 AA020913
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

aggressive featuresF2RL3 expressionpoor survivalrenal cell carcinoma

Identifiers

PMID30271502
PMCPMC6160688
OpenAlexW2889706008

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.