Evidence map›Paper›PMID 33430667›Full record

ArticleThe Journal of international medical research2021

Predicted CD4

Qing Bi, Yang Liu, Tao Yuan, Huizhen Wang, Bin Li, Ye Jiang, Xingkui Mo, Yonghong Lei, Yanbin Xiao, Suwei Dong and 9 more

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Review
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  17. IL1B-Expressing Exhausted CD4Cancer genomics & proteomics
    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

19 authors at 2 institutions in 1 country.

Qing BiThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yang LiuThe Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Tao YuanThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Huizhen Wang3D Medicines Inc., Shanghai, China.
Bin Li3D Medicines Inc., Shanghai, China.
Ye JiangGuiHang Hospital, Guiyang, Guizhou, China.
Xingkui MoThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yonghong LeiThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yanbin XiaoThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Suwei DongThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Hongmei ShenThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Li LvThe Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Yihao YangThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Hua Dong3D Medicines Inc., Shanghai, China.
Jing Wang3D Medicines Inc., Shanghai, China.
Fugen Li3D Medicines Inc., Shanghai, China.
Dadong Zhang3D Medicines Inc., Shanghai, China.
Yiqin AiThe Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Jie LinThe Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.ORCID https://orcid.org/0000-0003-3784-8120
Kunming Medical University · CNGuizhou Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe role of tumor-infiltrating lymphocytes (TILs) has not yet been characterized in sarcomas. The aim of this bioinformatics study was to explore the effect of TILs on sarcoma survival and genome alterations.

methodsWhole-exome sequencing, transcriptome sequencing, and survival data of sarcoma were obtained from The Cancer Genome Atlas. Immune infiltration scores were calculated using the Tumor Immune Estimation Resource. Potential associations between abundance of infiltrating TILs and survival or genome alterations were examined.

resultsLevels of CD4

conclusionsThis data mining study indicated that CD4

Indexed as

SarcomaT-LymphocytesCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesHumansLymphocytes, Tumor-InfiltratingPrognosisCD4+ T cellscopy number variationhistological subtypeimmune infiltrationSarcomasurvival

Identifiers

PMID33430667
PMCPMC7809305
OpenAlexW3185210876

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.