Evidence map›Paper›PMID 36602373›Full record

ArticleAntimicrobial agents and chemotherapy2023

Targeting Multidrug-Recalcitrant Pseudomonas aeruginosa Biofilms: Combined-Enzyme Treatment Enhances Antibiotic Efficacy.

Yixin Zhang, Wei Wei, Huamei Wen, Zhongle Cheng, Zhongwen Mi, Jing Zhang, Xiaolong Liu, Xinjiong Fan

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Targeting biofilm and virulence inMicrobiology spectrum · 2026
    Article
  2. Review
  3. Review
  4. The cystic fibrosis pathogenJournal of medical microbiology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Quorum-quenching enzyme Est816 assisted antibiotics against periodontitis induced byFrontiers in cellular and infection microbiology · 2024
    Article
  12. 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

8 authors.

Yixin Zhang *School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.
Wei Wei *The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Huamei WenSchool of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.
Zhongle ChengThe First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Zhongwen MiSchool of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.
Jing ZhangStomatological Hospital and College, Key Laboratory of Oral Diseases Research of Anhui Province, Anhui Medical University, Hefei, Anhui, China.ORCID 0000-0002-2774-8110
Xiaolong Liu *University of Science and Technology of China, Hefei, Anhui, China.
Xinjiong Fan *School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.ORCID 0000-0002-9213-5708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pseudomonas aeruginosa is an opportunistic pathogen that forms biofilms during infection, resulting in recalcitrance to antibiotic treatment. Biofilm inhibition is a promising research direction for the treatment of biofilm-associated infections. Here, a combined-enzyme biofilm-targeted strategy was put forward for the first time to simultaneously prevent biofilm formation and break down preformed biofilms. The

Indexed as

Anti-Bacterial AgentsPseudomonas aeruginosaBiofilmsHumansQuorum SensingVirulence FactorsAnti-Bacterial AgentsVirulence FactorsbiofilmN-acylhomoserine lactonasePseudomonas aeruginosaquorum sensingrational design

Identifiers

PMID36602373
PMCPMC9872604

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.