Evidence map›Paper›PMID 40371002›Full record

ArticleNew microbes and new infections2025

Targeted next-generation sequencing enhances precision and rapid detection in healthcare-associated infection Surveillance: Unveiling multidrug-resistant colonization in ICUs.

Tangchun Liu, Shuyan Deng, Wandi Liu, Jinzhao Zhang, Pengfei Wang, Zhengfei Yang

Abstract read
In one paragraph

Article in New microbes and new infections, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Tangchun LiuSun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Shuyan DengSun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Wandi LiuSun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Jinzhao ZhangSun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Pengfei WangSun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Zhengfei YangSun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to evaluate the potential advantages of targeted next-generation sequencing (tNGS) over conventional bacterial culture methods for pathogen detection in hospital-associated infections (HAIs). Methods: All EICU medical staff and all medical staff from the Physical Examination Centre completed a questionnaire. Nasopharyngeal specimens were collected from medical staff who met all of the inclusion criteria and none of the exclusion criteria. EICU medical staff provided 2 samples each, while Physical Examination Centre staff provided 1 sample each. For EICU medical staff, one of their two nasopharyngeal swabs was subjected to tNGS testing, and the other to bacterial culture testing. For the PEC staff, their nasopharyngeal swabs were subjected to tNGS testing. Additionally, six pairs of spectacles and six keyboards used by EICU medical staff were randomly selected, and the surfaces were swabbed with sterile swabs for tNGS testing. Results: In 23 nasal swab samples from EICU group, tNGS detected 14 species of microorganism in 29 instances within 19 h. Bacterial culture detected 2 species of microorganism in 4 instances, 2 positive samples within 19 h and confirmed another 2 positive samples within 69 h. A total of 42 samples with 14 different microorganism species were collected from the nasopharyngeal swabs of 23 EICU members and 15 PEC members. Among them, 29 cases (69 %) of 14 different microorganisms were detected in EICU staff, with an average of 1.3 microorganism species detected per person, while 13 cases (28 %) of 6 different microorganisms were detected in PEC staff, with an average of 0.9 microorganism species detected per person. The most common colonizing bacteria included Conclusions: tNGS outperforms conventional culture in healthcare-associated infection surveillance, with higher sensitivity and accelerated pathogen identification. Simultaneously, tNGS revealed extensive colonization of multidrug-resistant (MDR) pathogens (e.g.,

Indexed as

Healthcare-associated infectionsMicroorganismstNGS

Identifiers

PMID40371002
PMCPMC12076801

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.