Evidence map›Paper›PMID 32390761›Full record

ArticleCancer cell international2020

Elevated

Siyu Gu, Jie Zi, Qi Han, Chunhua Song, Zheng Ge

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
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  4. Heliyon · 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

5 authors at 2 institutions in 2 countries.

Siyu Gu1Department of Hematology, Zhongda Hospital, School of Medicine, Southeast University, Institute of Hematology Southeast University, No. 87, Dingjiaqiao, Gulou District, Nanjing, 210009 Jiangsu China.
Jie Zi1Department of Hematology, Zhongda Hospital, School of Medicine, Southeast University, Institute of Hematology Southeast University, No. 87, Dingjiaqiao, Gulou District, Nanjing, 210009 Jiangsu China.
Qi Han1Department of Hematology, Zhongda Hospital, School of Medicine, Southeast University, Institute of Hematology Southeast University, No. 87, Dingjiaqiao, Gulou District, Nanjing, 210009 Jiangsu China.
Chunhua Song2Hershey Medical Center, Pennsylvania State University Medical College, Hershey, PA17033 USA.
Zheng Ge1Department of Hematology, Zhongda Hospital, School of Medicine, Southeast University, Institute of Hematology Southeast University, No. 87, Dingjiaqiao, Gulou District, Nanjing, 210009 Jiangsu China.ORCID 0000-0001-8028-1612
Zhongda Hospital Southeast University · CNPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe used bioinformatic tools to dichotomize 157 non-M3 AML patients from the TCGA dataset based on the presence or absence of

methodsDEGs were analyzed by R package "DESeq2" and then run GSEA, GO enrichment, KEGG pathway and PPI network. Hub genes were selected out according to MCC. Log-rank (Mantel-Cox) test was used for survival analysis. Mann-Whitney U's nonparametric t test and Fisher's exact test was used for continuous and categorical variables respectively.

results

conclusionsElevated

Indexed as

AMLBioinformaticsTCGATNFRSF4

Identifiers

PMID32390761
PMCPMC7197135
OpenAlexW3022003718

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.