Evidence map›Paper›PMID 42903328›Full record

ReviewFrontiers in cellular and infection microbiology2026

Prospects of pathogen whole-genome sequencing in outbreak tracing and antimicrobial resistance surveillance of spinal infections.

Xingsheng Yu, Zhen Jia, Jianhua Li, Zhaohu Mao, Zhengqi Chang

Abstract readReview
In one paragraph

Review 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.

Xingsheng YuDepartment of Orthopaedics, The 960th Hospital of People's Liberation Army of China (PLA), Jinan, China.
Zhen JiaDepartment of Orthopaedics, The 961th Hospital of People's Liberation Army of China (PLA), Qiqihar, China.
Jianhua LiDepartment of Orthopaedics, The 960th Hospital of People's Liberation Army of China (PLA), Jinan, China.
Zhaohu MaoDepartment of Orthopaedics, The 960th Hospital of People's Liberation Army of China (PLA), Jinan, China.
Zhengqi ChangDepartment of Orthopaedics, The 960th Hospital of People's Liberation Army of China (PLA), Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal infections are a serious category of deep-seated infectious diseases that pose significant threats to human health. They are caused by a broad and complex spectrum of pathogens, including bacteria, fungi, and rare opportunistic organisms. Traditional diagnostic methods often face limitations in timeliness, accuracy, and source-tracing capability. Whole-genome sequencing (WGS), with its high resolution and throughput, provides comprehensive genetic information from pathogens, opening new avenues for precise diagnosis, outbreak tracing, and antimicrobial resistance monitoring and genomic epidemiology research in spinal infections., and enabling reliable identification of rare and fastidious pathogens that are difficult to characterize by conventional assays. This review systematically summarizes current applications of WGS in pathogen identification, clonal transmission inference, resistance gene and virulence factor analysis, and outbreak investigation. It further discusses the technical advantages, application challenges, and future development directions of WGS in outbreak tracing and resistance surveillance. Ultimately, this review aims to offer novel insights and a theoretical foundation for the precise prevention, control, and clinical management of spinal infections.

Indexed as

BacteriaDisease OutbreaksDrug Resistance, BacterialSpinal DiseasesWhole Genome SequencingGenome, BacterialHumansMolecular Epidemiologyantimicrobial resistance surveillancegenomic epidemiologyoutbreak tracingspinal infectionwhole-genome

Identifiers

PMID42903328
PMCPMC13681210

What OpenQuestion holds

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Registered trials

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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.