Evidence map›Paper›PMID 33193155›Full record

ReviewFrontiers in microbiology2020

Natural Anti-biofilm Agents: Strategies to Control Biofilm-Forming Pathogens.

Rojita Mishra, Amrita Kumari Panda, Surajit De Mandal, Muhammad Shakeel, Satpal Singh Bisht, Junaid Khan

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 178 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 1 pooled it
17.7field-weighted citation impact, top 1% 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

178 citing papers in PubMed, 1 synthesis or guideline pooled it, 425 citations in OpenAlex.

  1. Molecular imaging of bacterial biofilms-a systematic review.Critical reviews in microbiology · 2024
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Genome and Secondary Metabolites Analysis ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  14. Article
  15. In silico evaluation ofJournal of Taibah University Medical Sciences · 2026
    Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article

118 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 2 countries.

Rojita MishraDepartment of Botany, Polasara Science College, Polasara, India.
Amrita Kumari PandaDepartment of Biotechnology, Sant Gahira Guru University, Ambikapur, India.
Surajit De MandalKey Laboratory of Bio-Pesticide Innovation and Application of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, China.
Muhammad ShakeelKey Laboratory of Bio-Pesticide Innovation and Application of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, China.
Satpal Singh BishtDepartment of Zoology, Kumaun University, Nainital, India.
Junaid KhanDepartment of Pharmacy, Sant Gahira Guru University, Ambikapur, India.
South China Agricultural University · CNKumaun University · INSarguja University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogenic microorganisms and their chronic pathogenicity are significant concerns in biomedical research. Biofilm-linked persistent infections are not easy to treat due to resident multidrug-resistant microbes. Low efficiency of various treatments and

Indexed as

antimicrobial peptidesbiosurfactantmicrobial biofilmmultidrug resistancephytocompoundstherapeutic strategies

Identifiers

PMID33193155
PMCPMC7658412
OpenAlexW3095661868

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.