Evidence map›Paper›PMID 42652351›Full record

SynthesisInternational journal of environmental research and public health2026

Antibiotic Resistance Genes in Dust from Kindergarten Environments: A Systematic Review of Occurrence, Diversity, Determinants, and Exposure Implications.

Prasert Makkaew, Apirak Bumyut, Ni Luh Ayu Megasari, Nopadol Precha

Abstract readSystematic ReviewReview
In one paragraph

Synthesis in International journal of environmental research and public health, 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

4 authors.

Prasert MakkaewDepartment of Environmental Health and Technology, School of Public Health, Walailak University, Thasala, Nakhon Si Thammarat 80160, Thailand.
Apirak BumyutDepartment of Environmental Health and Technology, School of Public Health, Walailak University, Thasala, Nakhon Si Thammarat 80160, Thailand.ORCID 0000-0002-7894-6555
Ni Luh Ayu MegasariImmunology Program, Postgraduate School, Universitas Airlangga, Surabaya 60286, East Java, Indonesia.ORCID 0000-0002-4452-5250
Nopadol PrechaDepartment of Environmental Health and Technology, School of Public Health, Walailak University, Thasala, Nakhon Si Thammarat 80160, Thailand.ORCID 0000-0002-8084-6641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Kindergarten environments combine high microbial exposure with increased immunological vulnerability, yet antibiotic resistance genes (ARGs) in kindergarten dust remain poorly characterized. This systematic review synthesized evidence on the occurrence and potential health relevance of ARGs in kindergarten dust. Following PRISMA 2020 guidelines, PubMed, Scopus, and Web of Science were searched. Four studies from China, Hong Kong, and Norway (2018-2024) met the inclusion criteria. ARGs were detected in all kindergarten dust samples, indicating that dust is a consistent reservoir of antibiotic resistance determinants. A consensus resistome (classes detected in ≥2 studies) encompassed sulfonamide, macrolide-lincosamide-streptogramin B (MLSB), tetracycline, beta-lactam, aminoglycoside, and multidrug resistance genes; beta-lactam resistance genes were the only class reported in all four studies. Clinically important ARGs associated with last-resort antibiotics, including

Indexed as

Drug Resistance, MicrobialDustEnvironmental ExposureGenes, BacterialSchoolsAnti-Bacterial AgentsChild, PreschoolHumansAnti-Bacterial AgentsDustchilddrug resistancedustintegronspreschool

Identifiers

PMID42652351
PMCPMC13513710

What OpenQuestion holds

Textmetadata
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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.