Evidence map›Paper›PMID 37992081›Full record

ArticlePloS one2023

Assessment of four in vitro phenotypic biofilm detection methods in relation to antimicrobial resistance in aerobic clinical bacterial isolates.

Ajaya Basnet, Basanta Tamang, Mahendra Raj Shrestha, Lok Bahadur Shrestha, Junu Richhinbung Rai, Rajendra Maharjan, Sushila Dahal, Pradip Shrestha, Shiba Kumar Rai

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

9 authors at 4 institutions in 2 countries.

Ajaya BasnetDepartment of Medical Microbiology, Shi-Gan International College of Science and Technology, Maharajgunj, Kathmandu, Nepal.ORCID 0000-0003-4991-6389
Basanta TamangDepartment of Microbiology, Nepal Armed Police Force Hospital, Balambu, Kathmandu, Nepal.ORCID 0009-0008-5605-5779
Mahendra Raj ShresthaDepartment of Clinical Laboratory, Nepal Armed Police Force Hospital, Balambu, Kathmandu, Nepal.ORCID 0000-0002-8292-5757
Lok Bahadur ShresthaSchool of Medical Sciences and The Kirby Institute, University of New South Wales, Sydney, Australia.
Junu Richhinbung RaiDepartment of Microbiology, Maharajgunj Medical Campus, Tribhuvan University Teaching Hospital, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.ORCID 0000-0002-4737-2130
Rajendra MaharjanDepartment of Clinical Laboratory, Nepal Armed Police Force Hospital, Balambu, Kathmandu, Nepal.
Sushila DahalDepartment of Microbiology, KIST Medical College and Teaching Hospital, Balambu, Kathmandu, Nepal.
Pradip ShresthaDepartment of Microbiology, KIST Medical College and Teaching Hospital, Balambu, Kathmandu, Nepal.
Shiba Kumar RaiDepartment of Research and Microbiology, Nepal Medical College and Teaching Hospital, Attarkhel, Kathmandu, Nepal.
KIST Medical College · NPNepal Medical College Teaching Hospital · NPTribhuvan University Teaching Hospital · NPUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe lack of standardized methods for detecting biofilms continues to pose a challenge to microbiological diagnostics since biofilm-mediated infections induce persistent and recurrent infections in humans that often defy treatment with common antibiotics. This study aimed to evaluate diagnostic parameters of four in vitro phenotypic biofilm detection assays in relation to antimicrobial resistance in aerobic clinical bacterial isolates.

methodsIn this cross-sectional study, bacterial strains from clinical samples were isolated and identified following the standard microbiological guidelines. The antibiotic resistance profile was assessed through the Kirby-Bauer disc diffusion method. Biofilm formation was detected by gold standard tissue culture plate method (TCPM), tube method (TM), Congo red agar (CRA), and modified Congo red agar (MCRA). Statistical analyses were performed using SPSS version 17.0, with a significant association considered at p<0.05.

resultAmong the total isolates (n = 226), TCPM detected 140 (61.95%) biofilm producers, with CoNS (9/9) (p<0.001) as the predominant biofilm former. When compared to TCPM, TM (n = 119) (p<0.001) showed 90.8% sensitivity and 70.1% specificity, CRA (n = 88) (p = 0.123) showed 68.2% sensitivity and 42% specificity, and MCRA (n = 86) (p = 0.442) showed 65.1% sensitivity and 40% specificity. Juxtaposed to CRA, colonies formed on MCRA developed more intense black pigmentation from 24 to 96 hours. There were 77 multi-drug-resistant (MDR)-biofilm formers and 39 extensively drug-resistant (XDR)-biofilm formers, with 100% resistance to ampicillin and ceftazidime, respectively.

conclusionIt is suggested that TM be used for biofilm detection, after TCPM. Unlike MCRA, black pigmentation in colonies formed on CRA declined with time. MDR- and XDR-biofilm formers were frequent among the clinical isolates.

Indexed as

Anti-Bacterial AgentsCongo RedAgarBiofilmsCross-Sectional StudiesDrug Resistance, BacterialHumansAgarAnti-Bacterial AgentsCongo Red

Identifiers

PMID37992081
PMCPMC10664881
OpenAlexW4388894519

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.