Evidence map›Paper›PMID 41230408›Full record

ArticleFrontiers in cellular and infection microbiology2025

Microbial culture vs. mNGS: diagnostic variations in periprosthetic joint infection.

Lan Lin, Xiaolin Li, Jiayu Li, Baijian Wu, Yiming Lin, Wenbo Li, Hongyan Li, Yufeng Guo, Chengguo Huang, Zida Huang and 2 more

Abstract readComparative Study
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

12 authors.

Lan Lin *Department of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Xiaolin Li *Department of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Jiayu Li *Department of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Baijian Wu *Department of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Yiming LinDepartment of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Wenbo LiDepartment of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Hongyan LiDepartment of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Yufeng GuoDepartment of Orthopaedic Surgery, Changtai County Hospital, Zhangzhou, Fujian, China.
Chengguo HuangDepartment of Orthopaedic Surgery, Pingnan County Hospital, Ningde, Fujian, China.
Zida HuangDepartment of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Wenming ZhangDepartment of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Xinyu FangDepartment of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to compare the diagnostic performance of conventional microbial culture and metagenomic next-generation sequencing (mNGS) in detecting pathogens in periprosthetic joint infection (PJI) and to identify factors contributing to discrepancies between these two methods. Methods: A total of 167 patients with suspected PJI (including PJI patients and aseptic failure patients) who underwent revision joint replacement at our center from September 2017 to April 2024 were enrolled. Demographic data, prior antibiotic use, and results of microbial culture and mNGS were documented. Joint fluid, periprosthetic tissue, or prosthetic ultrasonic fluid samples were collected, and at least one sample from each patient underwent both microbial culture and mNGS testing. In the light of the concordance between culture and mNGS results, patients were divided into the detection consistent and detection inconsistent groups. The differences in pathogen detection between the two models were compared, and factors contributing to discordant results were analyzed. Results: The prior antibiotic use (OR = 2.137, 95% CI = 1.069-4.272, Conclusion: Clinicians should optimize diagnostic strategies by tailoring microbial culture methods to the patient's clinical condition and integrating mNGS testing where appropriate. It is recommended to use tissue specimens from the same anatomical site across multiple tests while sampling from different regions when necessary. Although this approach may increase costs, it significantly enhances the accuracy of pathogen identification and facilitates more effective treatment.

Indexed as

BacteriaHigh-Throughput Nucleotide SequencingMetagenomicsMicrobiological TechniquesProsthesis-Related InfectionsAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective Studiesmicrobial cultureMNGspathogen identificationperiprosthetic joint infectionrisk factors

Identifiers

PMID41230408
PMCPMC12602205

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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.