Evidence map›Paper›PMID 33173308›Full record

ArticleOncoTargets and therapy2020

Identification and Validation of

Wei Liu, Feiyue Zhu, Jiazhuo Yan, Yi Liu, Cong Chen, Kaixuan Zhang, Xielan Zhao, Jingyuan Chen

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Development of a Prognostic Nomogram for Acute Myeloid Leukemia onInternational journal of general medicine · 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

8 authors at 4 institutions in 2 countries.

Wei LiuDepartment of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China.
Feiyue ZhuDepartment of Hematology, Loudi Central Hospital, Loudi, Hunan 417000, People's Republic of China.
Jiazhuo YanDepartment of Gynaecological Radiotherapy, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, Heilongjiang 150081, People's Republic of China.ORCID 0000-0001-8965-135X
Yi LiuDepartment of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China.
Cong ChenDepartment of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China.
Kaixuan ZhangDepartment of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China.
Xielan ZhaoDepartment of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China.
Jingyuan ChenResearch Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, Hunan 410011, People's Republic of China.
Central South University · CNCity Of Hope National Medical Center · USHarbin Medical University · CNLoudi Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute myeloid leukemia (AML) is one of the most common hematological diseases in adults. The overall survival rate remains unsatisfactory. It is urgent to identify potential prognostic biomarkers and develop new molecular therapeutic strategies for AML. Signal transducer and activator of transcription (STAT) is a family of genes that encode intracellular transcription factors. STATs are associated with leukemogenesis, cellular transformation, and cell cycle in AML.

methodsWe used sequencing data and clinical data from The Cancer Genome Atlas (TCGA) and ONCOMINE to identify expression difference, gene variability and correlation as well as prognostic effects of STAT genes in AML patients. Then, we verified the expression difference of

resultsThe mRNA level of

conclusion

Indexed as

acute myeloid leukemiaGEOprognosisSTATTCGA

Identifiers

PMID33173308
PMCPMC7648156
OpenAlexW3096872718

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.