Evidence map›Paper›PMID 32390979›Full record

ReviewFrontiers in microbiology2020

Shu Wu, Yiru Shen, Shan Zhang, Yunqi Xiao, Shourong Shi

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Biomedicines · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Gut microbiota interplay with autophagy-EMT dynamics in colorectal cancer.Frontiers in cell and developmental biology · 2025
    Review
  11. Article
  12. Breaking the cellular defense: the role of autophagy evasion inFrontiers in cellular and infection microbiology · 2024
    Article
  13. Animals : an open access journal from MDPI · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Macrophages in immunoregulation and therapeutics.Signal transduction and targeted therapy · 2023
    Review
  18. Article
  19. Article
  20. p38Frontiers in immunology · 2023
    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

5 authors at 4 institutions in 1 country.

Shu WuDepartment of Feed and Nutrition, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, China.
Yiru ShenDepartment of Feed and Nutrition, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, China.
Shan ZhangDepartment of Feed and Nutrition, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, China.
Yunqi XiaoDepartment of Feed and Nutrition, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, China.
Shourong ShiDepartment of Feed and Nutrition, Poultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, China.
Chinese Academy of Agricultural Sciences · CNHunan Agricultural University · CNPoultry Research Institute · CNYangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is an important component of the innate immune system in mammals. Low levels of basic autophagy are sustained in normal cells, to help with the clearance of aging organelles and misfolded proteins, thus maintaining their structural and functional stability. However, when cells are faced with challenges, such as starvation or pathogenic infection, their level of autophagy increases significantly.

Indexed as

autophagyautophagy adaptordrug regulationSalmonellaxenophagy

Identifiers

PMID32390979
PMCPMC7188831
OpenAlexW3020417644

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.