Evidence map›Paper›PMID 32071534›Full record

ArticleThe Saudi dental journal2020

Assessment of nosocomial bacterial contamination in dental unit waterlines: Impact of flushing.

Manal M Alkhulaifi, Dalal H Alotaibi, Hisham Alajlan, Thekra Binshoail

Abstract read
In one paragraph

Article in The Saudi dental journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Occurrence and prevalence of Legionella species in dental chair units in Germany with a focus on risk factors.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Article
  13. Article
  14. Article
  15. Dental unit water content and antibiotic resistance ofJournal of oral microbiology · 2022
    Article
  16. Review
  17. Mobile Dental Delivery System: An Effective Protocol for Hygiene and Disinfection.International journal of environmental research and public health · 2020
    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.

Manal M AlkhulaifiDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Dalal H AlotaibiDental College, King Saud University, Riyadh, Saudi Arabia.
Hisham AlajlanPrince Sultan Military Medical City, Riyadh, Saudi Arabia.
Thekra BinshoailDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study evaluated the extent of bacterial contamination in water from dental unit waterlines (DUWLs). METHODOLOGY: Water samples were collected (before flushing, 1 min post-flushing, and 3 min post-flushing) from 24 clinics (Group A: no disinfection, Group B: citric acid disinfectant) of a Government Dental College. Bacterial counts, identification, antibiotic sensitivity tests, determination of endotoxin levels, and scanning electron microscopy (to confirm the presence of biofilm) were performed.

resultsThe most common opportunistic bacteria were

conclusionsDUWL contamination is a serious issue in dentistry, and the microbiological quality of the water must be monitored regularly. Further studies on endotoxin exposure and prevention are therefore necessary.

Indexed as

BacteriaBiofilmDental unit waterlinesEndotoxinFlushing

Identifiers

PMID32071534
PMCPMC7016225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.