Evidence map›Paper›PMID 31915310›Full record

ArticleAging2020

Prognostic value of epithelial-mesenchymal transition markers in clear cell renal cell carcinoma.

Hua Xu, Wen-Hao Xu, Fei Ren, Jun Wang, Hong-Kai Wang, Da-Long Cao, Guo-Hai Shi, Yuan-Yuan Qu, Hai-Liang Zhang, Ding-Wei Ye

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 34 citations in OpenAlex.

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  18. The Role of Long Noncoding RNA (lncRNAs) Biomarkers in Renal Cell Carcinoma.International journal of molecular sciences · 2022
    Review
  19. Article
  20. The Most CommonCancers · 2021
    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

10 authors at 2 institutions in 1 country.

Hua XuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Wen-Hao XuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Fei RenDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
Jun WangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Hong-Kai WangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Da-Long CaoDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Guo-Hai ShiDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Yuan-Yuan QuDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Hai-Liang ZhangDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Ding-Wei YeDepartment of Urology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Fudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial-to-mesenchymal transition (EMT) is important in tumor invasiveness and metastasis. We aimed to determine prognostic value of six key EMT markers (

Indexed as

Biomarkers, TumorCarcinoma, Renal CellComputational BiologyDatabases, GeneticEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKidney NeoplasmsMaleMolecular Sequence AnnotationNeoplasm GradingNeoplasm StagingPrognosisBiomarkers, Tumorclear cell renal cell carcinomaepithelial-to-mesenchymal transitionpredictive modelprognosistumor microenvironment

Identifiers

PMID31915310
PMCPMC6977664
OpenAlexW2999249632

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.