Evidence map›Paper›PMID 42522008›Full record

ArticleBMC microbiology2026

Contamination of dental simulation rooms with mycobacteria.

Anna M Oertel, Stefan Rupf, Matthias Hannig, Alexander Halfmann, Gudrun Wagenpfeil, Uwe Schlotthauer, Madline P Gund

Abstract read
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Anna M OertelClinic of Operative Dentistry, Periodontology and Preventive Dentistry, Saarland University Medical Centre, Kirrberger Str. 100, Building 73, Homburg, D-66421, Germany.
Stefan RupfSynoptic Dentistry, Saarland University, Homburg, Germany.
Matthias HannigClinic of Operative Dentistry, Periodontology and Preventive Dentistry, Saarland University Medical Centre, Kirrberger Str. 100, Building 73, Homburg, D-66421, Germany.
Alexander HalfmannInstitute of Medical Microbiology and Hygiene, Saarland University Medical Centre, Homburg, 66421, Germany.
Gudrun WagenpfeilInstitute of Medical Biometry, Epidemiology and Medical Informatics, Saarland University, Homburg, Germany.
Uwe SchlotthauerInstitute of Medical Microbiology and Hygiene, Saarland University Medical Centre, Homburg, 66421, Germany.
Madline P GundClinic of Operative Dentistry, Periodontology and Preventive Dentistry, Saarland University Medical Centre, Kirrberger Str. 100, Building 73, Homburg, D-66421, Germany. madline.gund@uks.eu.ORCID 0000-0001-9053-8864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDental unit waterlines (DUWLs) often provide optimal conditions for pathogens, including non-tuberculous mycobacteria, causing various infections in patients and practitioners. Preventive measures for non-tuberculous mycobacteria (NTM) remain unclear. Dental simulation units, which are used for student training, are very similar to classic dental units. While the water quality of dental units has been the subject of numerous studies, dental simulation units have received little attention to date. In particular, there are very few studies on the role of NTM in dental simulation units and on influencing factors such as water stagnation, structural conditions, and the effectiveness of a disinfection program.

methodsIn this study, 24 dental simulation units from two rooms in two different buildings of the Department for Operative Dentistry, Periodontology and Preventive Dentistry were examined for NTM. Water samples were analyzed from all simulation units, and biofilm swabs were additionally examined from room 2. All samples were incubated on solid and liquid culture media for 8 weeks. The species of NTM were identified using GenoType line probe assays.

resultsNTM were detected in 43 of 44 samples. Three different species were identified: M. gordonae was the most common, with 24 detections, followed by M. chelonae with 17 detections and M. chimaera with 3 detections.

conclusionThe high contamination rate of dental simulation units highlights the need for further research to ensure a safe environment. No significant differences in terms of structural conditions could be found, while the influence of water stagnation and disinfection protocols warrants further investigation.

Indexed as

Dental EquipmentEquipment ContaminationNontuberculous MycobacteriaWater MicrobiologyBiofilmsDisinfectionHumansBiofilmsDental simulation unitsDental unit waterlinesM. chelonaeM. chimaeraM. gordonaeNon-tuberculous mycobacteria

Identifiers

PMID42522008
PMCPMC13410582

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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.