Evidence map›Paper›PMID 42518851›Full record

ArticleFrontiers in cellular and infection microbiology2026

Similar intraoperative microbiomes in

Zhe Xu, Xuehai Chen, Kezeng Gong, Feilong Zhang, Yunling Lin

Abstract read
In one paragraph

Article in Frontiers in cellular and infection 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.

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

5 authors.

Zhe XuDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China.
Xuehai ChenDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China.
Kezeng GongDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China.
Feilong ZhangDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China.
Yunling LinDepartment of Cardiology, Fujian Medical University Union Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The source of bacteria detected in cardiac implantable electronic device (CIED) pockets-whether true colonisation or intraoperative contamination-has significant implications for infection prevention strategies. Aim: To compare intraoperative microbial dynamics during Methods: In this prospective study, samples were collected from 18 asymptomatic patients (11 new implants, seven replacements) at three timepoints: skin before incision (T1), pocket after creation (T2), and pocket before closure (T3). Microbiome analysis was performed via 16S rRNA gene sequencing of the V3-V4 region. α-diversity (Simpson index) and β-diversity (Bray-Curtis dissimilarity) were analysed. Findings: Microbial community composition and relative abundance were similar between groups at all timepoints. Predominant genera included A Conclusion: The absence of distinct microbial signatures in replacement pockets and the prevalence of environmental bacteria strongly suggest that detected microorganisms originate from intraoperative contamination. This underscores the paramount importance of rigorous aseptic technique over surveillance for colonization in preventing CIED infections.

Indexed as

BacteriaMicrobiotaPacemaker, ArtificialProsthesis-Related InfectionsAgedDNA, BacterialDNA, RibosomalFemaleHumansIntraoperative PeriodMaleMiddle AgedProspective StudiesRNA, Ribosomal, 16SSequence Analysis, DNASkinDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S16S rRNA sequencingaseptic techniquecontaminationhealthcare-associated infectionpacemakersurgical site infection

Identifiers

PMID42518851
PMCPMC13381184

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.