Evidence map›Paper›PMID 34917088›Full record

ArticleFrontiers in immunology2021

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Xiangmin Qiu, Xiaoliang Hua, Qianyin Li, Qin Zhou, Juan Chen

Abstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Review
  2. Targeting G9a-miScience · 2025
    Article
  3. Article
  4. Ghost authors revealed: The structure and function of human NWiley interdisciplinary reviews. RNA · 2023
    Review
  5. mCell death discovery · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The risk of COVID-19 can be predicted by a nomogram based on m6A-related genes.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Targeting the RNA mMolecular cancer · 2022
    Review
  16. Article
  17. Article
  18. SARS-CoV-2 and the Nucleus.International journal of biological sciences · 2022
    Review
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.

Xiangmin QiuThe Ministry of Education Key Laboratory of Laboratory Medical Diagnostics, The College of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Xiaoliang HuaDepartment of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Qianyin LiThe Ministry of Education Key Laboratory of Laboratory Medical Diagnostics, The College of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Qin ZhouThe Ministry of Education Key Laboratory of Laboratory Medical Diagnostics, The College of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Juan ChenThe Ministry of Education Key Laboratory of Laboratory Medical Diagnostics, The College of Laboratory Medicine, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both RNA N6-methyladenosine (m

Indexed as

AdenosineCluster AnalysisComputational BiologyCOVID-19Disease SusceptibilityGene Expression ProfilingHost-Pathogen InteractionsHumansLeukocytesRNA, ViralROC CurveSARS-CoV-2AdenosineN(6)-methoxyadenosineRNA, ViralCOVID-19immune characteristicsleukocytesm6A methylation modificationprotective model

Identifiers

PMID34917088
PMCPMC8669770

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.