Evidence map›Paper›PMID 42410808›Full record

Observational studyMedicine2026

Microbial flora and antimicrobial resistance in dental unit waterlines of Chongqing: An observational cross-sectional laboratory study.

Yiqi Wang, Xuefan Yang, Qiang Wang, Tianzhanhong Shen, Wangcheng Wang, Jingfu Qiu

Abstract readObservational Study
In one paragraph

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

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

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

6 authors.

Yiqi WangCollege of Public Health, Chongqing Medical University, Chongqing, China.ORCID 0009-0007-2836-4956
Xuefan YangChongqing Center for Disease Control and Prevention, Chongqing, China.
Qiang WangWang Qiang Inheritance Studio, Chinese Medicine Hospital of Qijiang District Chongqing, Chongqing, China.
Tianzhanhong ShenChongqing Center for Disease Control and Prevention, Chongqing, China.
Wangcheng WangChongqing Center for Disease Control and Prevention, Chongqing, China.
Jingfu QiuCollege of Public Health, Chongqing Medical University, Chongqing, China.ORCID 0000-0003-1220-7319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify pathogenic bacteria in dental water systems and assess microbial diversity and resistance genes, we collected water samples from 35 dental facilities in Chongqing, China. Using the VITEK 2 COMPACT system, we identified 26 strains and 13 species of opportunistic pathogens in 23 samples exceeding the standard limits. In addition, metagenomic sequencing was performed to investigate microbial diversity and resistance genes. Among the 170 collected samples, 78.2% qualified, with no significant variation across samples. However, there was a statistically significant difference in qualifying rates between hospitals of different levels (χ2 = 7.696, P = .021). Most bacteria (80.8%) were Gram-negative and non-Enterobacteriaceae, with only 1 type belonging to the Enterobacteriaceae family. Notably abundant resistance genes included bacA, adeC, mexT, mdfA, adeJ, mdtK, emrB, and mdtB, predominantly associated with multidrug resistance (relative abundance: 71.42%). The contamination of dental unit waterlines is a concern that cannot be overlooked.

Indexed as

BacteriaDental EquipmentDrug Resistance, BacterialDrug Resistance, MicrobialWater MicrobiologyAnti-Bacterial AgentsChinaCross-Sectional StudiesHumansAnti-Bacterial Agentsantibiotic resistance genedental unit waterlinesmetagenomic sequencingmicrobial flora

Identifiers

PMID42410808
PMCPMC13336945

What OpenQuestion holds

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LicenceCC BY
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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.