Evidence map›Paper›PMID 35962395›Full record

ArticleJournal of translational medicine2022

Integration of CD34

Xue-Ping Li, Wei-Na Zhang, Jia-Ying Mao, Bai-Tian Zhao, Lu Jiang, Yan Gao

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 3 institutions in 1 country.

Xue-Ping Li *Department of Hematologic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 500020, China. lixp1@sysucc.org.cn.ORCID 0000-0002-4588-065X
Wei-Na Zhang *Department of Hematology, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, 500020, China.
Jia-Ying MaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng East Road, Guangzhou, 500020, China.
Bai-Tian ZhaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng East Road, Guangzhou, 500020, China.
Lu JiangShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. jl11891@rjh.com.cn.
Yan GaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng East Road, Guangzhou, 500020, China. gaoyan@sysucc.org.cn.
Sun Yat-sen University · CNGuangzhou Medical University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute Myeloid Leukemia (AML) is a hematological cancer characterized by heterogeneous hematopoietic cells. Through the use of multidimensional sequencing technologies, we previously identified a distinct myeloblast population, CD34

methodsBased on the CD34

resultsThe high-risk group of the 117DPS model exhibited worse overall survival than the low-risk group in both training and validation cohorts. Immune signaling pathways were significantly activated in the high-risk group. Patients with high-risk score had a distinct pattern of infiltrating immune cells, which were closely related to clinical outcome.

conclusionThe 117DPS model established in our study may serve as a potentially valuable tool for predicting clinical outcome of patients with AML.

Indexed as

Leukemia, Myeloid, AcuteAntigens, CD34Cell Adhesion MoleculesHumansPrognosisProto-Oncogene Proteins c-kitAntigens, CD34Cell Adhesion MoleculesKIT protein, humanProto-Oncogene Proteins c-kitAcute myeloid leukemiaELN 2017Gene expression profilePrediction model

Identifiers

PMID35962395
PMCPMC9373712
OpenAlexW4291670321

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.