Evidence map›Paper›PMID 31552180›Full record

ArticleFrontiers in oncology2019

Development and External Validation of a Novel 12-Gene Signature for Prediction of Overall Survival in Muscle-Invasive Bladder Cancer.

MierXiati Abudurexiti, Huyang Xie, Zhongwei Jia, Yiping Zhu, Yao Zhu, Guohai Shi, Hailiang Zhang, Bo Dai, Fangning Wan, Yijun Shen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  14. Novel gene signatures for prognosis prediction in ovarian cancer.Journal of cellular and molecular medicine · 2020
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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 4 institutions in 1 country.

MierXiati AbudurexitiDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Huyang XieDepartment of Urology, Affiliated Hospital of Nantong University, Nantong, China.
Zhongwei JiaDepartment of Medical Oncology, Clinical Medical College of Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, China.
Yiping ZhuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yao ZhuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Guohai ShiDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Hailiang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Bo DaiDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fangning WanDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yijun ShenDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Dingwei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Shanghai Medical College of Fudan University · CNFudan University Shanghai Cancer Center · CNAffiliated Hospital of Nantong University · CNYangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BRIEF EXPLANATION: We systemically reviewed all published prognostic gene signatures of muscle-invasive bladder cancer (MIBC) and integrated the genes in the TCGA MIBC cohort. This new gene panel was validated in a newly established MIBC cohort in GEO and FUSCC. This method can help update the previous established panels in a new way.

Indexed as

gene signaturemuscle-invasive bladder canceroverall survivalprognosisTCGA

Identifiers

PMID31552180
PMCPMC6743371
OpenAlexW2969380233

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.