Evidence map›Paper›PMID 28932746›Full record

ArticleBioMed research international2017

Isolation, Identification, and Antimicrobial Susceptibility of Bacteria Associated with Waterpipe Contaminants in Selected Area of Saudi Arabia.

Mohammed Alaidarous, Meshal Alanazi, Ahmed Abdel-Hadi

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Bioaerosols in the waterpipe cafés: genera, levels, and factors influencing their concentrations.Environmental science and pollution research international · 2019
    Article
  5. Article
  6. 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

3 authors at 1 institution in 1 country.

Mohammed AlaidarousDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah, Riyadh, Saudi Arabia.ORCID 0000-0002-6161-3834
Meshal AlanaziDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah, Riyadh, Saudi Arabia.
Ahmed Abdel-HadiDepartment of Medical Laboratory Sciences, College of Applied Medical Sciences, Majmaah University, Majmaah, Riyadh, Saudi Arabia.ORCID 0000-0002-1933-8197
Majmaah University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study highlights the level of microbial contamination of waterpipe components in selected area of Saudi Arabia and the resistance of selected bacteria to different antibiotics was determined. A series of biochemical tests, microscopic examination, and screening on Vitek 2 compact (bioMérieux Inc., USA) system were done to characterize the bacterial isolates. Out of 132 samples investigated, 7 mouthpiece samples and 48 water bowl samples showed positivity on culture. The percentage of contamination rate was higher in water bowl (69.69%) than in mouthpieces (10.6%) for all selected areas. A total of 55 bacterial isolates were identified which included Gram-negative (28) and Gram-positive (27) bacteria. Antimicrobial susceptibility data showed more resistance to bacteria isolated from water bowl than bacteria isolated from mouthpiece. In addition, one isolate which was confirmed as methicillin-resistant

Indexed as

Drug Resistance, Multiple, BacterialKlebsiella pneumoniaeMethicillin-Resistant Staphylococcus aureusWater MicrobiologySaudi ArabiaWater Pipe Smoking

Identifiers

PMID28932746
PMCPMC5592408
OpenAlexW2749002823

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.