Evidence map›Paper›PMID 37933277›Full record

ReviewMicrobial cell (Graz, Austria)2023

Biofilm tolerance, resistance and infections increasing threat of public health.

Shanshan Yang, Xinfei Li, Weihe Cang, Delun Mu, Shuaiqi Ji, Yuejia An, Rina Wu, Junrui Wu

Open access · goldAbstract readReview
In one paragraph

Review in Microbial cell (Graz, Austria), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
8.1field-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

27 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  10. Selective Modulation ofClinical, cosmetic and investigational dermatology · 2026
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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 at 1 institution in 1 country.

Shanshan YangCollege of Food Science, Shenyang Agricultural University, Shenyang 110866, P.R. China.
Xinfei LiCollege of Food Science, Shenyang Agricultural University, Shenyang 110866, P.R. China.
Weihe CangCollege of Food Science, Shenyang Agricultural University, Shenyang 110866, P.R. China.
Delun MuCollege of Food Science, Shenyang Agricultural University, Shenyang 110866, P.R. China.
Shuaiqi JiCollege of Food Science, Shenyang Agricultural University, Shenyang 110866, P.R. China.
Yuejia AnCollege of Food Science, Shenyang Agricultural University, Shenyang 110866, P.R. China.
Rina WuCollege of Food Science, Shenyang Agricultural University, Shenyang 110866, P.R. China.
Junrui WuCollege of Food Science, Shenyang Agricultural University, Shenyang 110866, P.R. China.
Shenyang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial biofilms can cause chronic infection. In the clinical setting, the biofilm-related infections usually persist and reoccur; the main reason is the increased antibiotic resistance of biofilms. Traditional antibiotic therapy is not effective and might increase the threat of antibiotic resistance to public health. Therefore, it is urgent to study the tolerance and resistance mechanism of biofilms to antibiotics and find effective therapies for biofilm-related infections. The tolerance mechanism and host reaction of biofilm to antibiotics are reviewed, and bacterial biofilm related diseases formed by human pathogens are discussed thoroughly. The review also explored the role of biofilms in the development of bacterial resistance mechanisms and proposed therapeutic intervention strategies for biofilm related diseases.

Indexed as

biofilmdiseasesinterventionresistancetolerance

Identifiers

PMID37933277
PMCPMC10625689
OpenAlexW4388371052

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.