Evidence map›Paper›PMID 34990401›Full record

ArticleAging2022

Dezhi Li, Tao Zhou, Yaqin Li, Yanwei Xu, Xianyi Cheng, Junhui Chen, Wei V Zheng

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

7 authors at 1 institution in 1 country.

Dezhi LiIntervention and Cell Therapy Center, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong, China.
Tao ZhouIntervention and Cell Therapy Center, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong, China.
Yaqin LiDepartment of Infectious Disease, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong, China.
Yanwei XuIntervention and Cell Therapy Center, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong, China.
Xianyi ChengIntervention and Cell Therapy Center, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong, China.
Junhui ChenIntervention and Cell Therapy Center, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong, China.
Wei V ZhengIntervention and Cell Therapy Center, Peking University Shenzhen Hospital, Shenzhen 518036, Guangdong, China.
Peking University Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most death-related cancers worldwide. Identifying cancer-associated genes and uncovering the vital molecular mechanisms of HCC progression contribute greatly to the prognosis and novel therapeutic strategies for HCC patients. Although lncRNAs have been proved to be critical modulators of various cellular processes, the functions of lncRNAs in HCC progression are just emerging. Here, we found that a long non-coding RNA (lncRNA) named

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularCell Line, TumorCell SurvivalEpithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticHumansLiver NeoplasmsMicroRNAsRNA, Long NoncodingSuppressor of Cytokine Signaling ProteinsBiomarkers, TumorMicroRNAsMIRN516 microRNA, humanRNA, Long NoncodingSOCS2 protein, humanSuppressor of Cytokine Signaling ProteinsceRNAhepatocellular carcinomaLINC02362miR-516b-5pSOSC2

Identifiers

PMID34990401
PMCPMC8791201
OpenAlexW4205657036

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.