Evidence map›Paper›PMID 37179424›Full record

ArticleScientific reports2023

Assessment of potential pathogenic bacterial load and multidrug resistance in locally manufactured cosmetics commonly used in Dhaka metropolis.

Namira Nusrat, Maftuha Ahmad Zahra, Akash Ahmed, Fahim Haque

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Namira Nusrat *Microbiology Program, Department of Mathematics and Natural Sciences, BRAC University, Dhaka, Bangladesh.
Maftuha Ahmad Zahra *Microbiology Program, Department of Mathematics and Natural Sciences, BRAC University, Dhaka, Bangladesh.
Akash AhmedMicrobiology Program, Department of Mathematics and Natural Sciences, BRAC University, Dhaka, Bangladesh.
Fahim HaqueMicrobiology Program, Department of Mathematics and Natural Sciences, BRAC University, Dhaka, Bangladesh. fahim.haque@bracu.ac.bd.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Bangladesh cosmetics are being produced disregarding the Good Manufacturing Practices. So, this study aimed to test the level and nature of bacterial contamination of such cosmetics. A total of 27 cosmetics comprising eight lipsticks, nine powders, and ten creams were bought from New Market and Tejgaon areas of Dhaka city and tested. Bacteria was detected in 85.2% of samples. Majority of the samples (77.8%) exceeded the limit given by the Bangladesh Standards and Testing Institution (BSTI), Food and Drug Administration (FDA) and the International Organization for Standardization (ISO). Both Gram-negative (Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae and Salmonella spp.) and Gram-positive bacteria (species of Streptococcus, Staphylococcus, Bacillus and Listeria monocytogenes) were identified. Hemolysis was observed in 66.7% Gram-positive and 25% Gram-negative bacteria. Multidrug resistance was tested in 165 randomly selected isolates. Every species of Gram-positive and Gram-negative bacteria exhibited varying levels of multidrug resistance. The highest levels of antibiotic resistance were in broad-spectrum antibiotics (ampicillin, azithromycin, cefepime, ciprofloxacin and meropenem) and narrow-spectrum Gram-negative antibiotics (aztreonam and colistin). Multidrug resistance was 12-78% in Gram-negative bacteria and 12-100% in Gram-positive bacteria. Coagulase and DNase were identified in 97.5% and 5.1% of Staphylococcus aureus isolates respectively. Our findings indicate that these cosmetics pose a risk to the public's health.

Indexed as

Anti-Bacterial AgentsGram-Negative BacteriaBacteriaBacterial LoadBangladeshDrug Resistance, BacterialDrug Resistance, MultipleGram-Positive BacteriaMicrobial Sensitivity TestsAnti-Bacterial Agents

Identifiers

PMID37179424
PMCPMC10182989

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.