Evidence map›Paper›PMID 36838440›Full record

ArticleMicroorganisms2023

Screening of

Yixiao Li, Yang Song, Zhenzhou Huang, Li Mei, Mengnan Jiang, Duochun Wang, Qiang Wei

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Prevalence ofIndian journal of microbiology · 2025
    Article
  3. Article
  4. Contamination, molecular characterization and virulence ofCurrent research in food science · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. 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 2 institutions in 1 country.

Yixiao LiNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Yang SongDivision of Infectious Disease, Key Laboratory of Surveillance and Early-Warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Zhenzhou HuangNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Li MeiNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Mengnan JiangNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Duochun WangNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Qiang WeiNational Pathogen Resource Center, Chinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China.
Chinese Center For Disease Control and Prevention · CNNational Institute for Communicable Disease Control and Prevention · CN

Funding

Nation Science and Technology Fundamental Resources Investigation Program of China 2021FY100904
6 · The paper itself

Abstract

The nonstandard use of disinfectants can lead to the disinfectant resistance of bacteria and even increase antibiotic resistance. However, compared with the study of antibiotic resistance, studies of bacterial resistance to disinfectants are relatively few in number. In this study, we explored the standard strain screening procedure for the evaluation of disinfection efficacy.

Indexed as

DEGsMICstandard strainStaphylococcus aureustolerance to chlorine-containing disinfectants

Identifiers

PMID36838440
PMCPMC9967416
OpenAlexW4320728680

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.