Evidence map›Paper›PMID 31024499›Full record

ArticleFrontiers in microbiology2019

Antimicrobial Blue Light Inactivation of Polymicrobial Biofilms.

Raquel Ferrer-Espada, Xiaojing Liu, Xueping Sharon Goh, Tianhong Dai

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Molecules (Basel, Switzerland) · 2023
    Article
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  12. Review
  13. Article
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  18. Recent Advances and Opportunities in the Study ofFrontiers in cellular and infection microbiology · 2022
    Review
  19. Therapeutic strategies for chronic wound infection.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2022
    Review
  20. Review
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

4 authors at 2 institutions in 1 country.

Raquel Ferrer-EspadaWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Xiaojing LiuWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Xueping Sharon GohWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Tianhong DaiWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Harvard University · USMassachusetts General Hospital · US

Funding

Antimicrobial blue light inactivation of pathogenic microbesR01AI123312 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI DAI, TIANHONG · 2016 to 2020
$2.6M
NIAID NIH HHS R01 AI123312
6 · The paper itself

Abstract

Polymicrobial biofilms, in which mixed microbial species are present, play a significant role in persistent infections. Furthermore, polymicrobial biofilms promote antibiotic resistance by allowing interspecies transfer of antibiotic resistance genes. In the present study, we investigated the effectiveness of antimicrobial blue light (aBL; 405 nm), an innovative non-antibiotic approach, for the inactivation of polymicrobial biofilms. Dual-species biofilms with

Indexed as

antimicrobial blue lightbiofilmCandida albicansCDC biofilm reactorendogenous photosensitizerpolymicrobialPseudomonas aeruginosaStaphylococcus aureus

Identifiers

PMID31024499
PMCPMC6467927
OpenAlexW2936790158

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.