Evidence map›Paper›PMID 38760817›Full record

ArticleJournal of orthopaedic surgery and research2024

Clinical applications of metagenomic next-generation sequencing in the identification of pathogens in periprosthetic joint infections: a retrospective study.

Tengfei Shi, Huiyu Chen, Yinhuan Liu, Yexin Wu, Feitai Lin

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Review
  6. Review
  7. Microbial culture vs. mNGS: diagnostic variations in periprosthetic joint infection.Frontiers in cellular and infection microbiology · 2025
    Article
  8. 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

5 authors.

Tengfei Shi *Department of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China.
Huiyu Chen *Department of Clinical Laboratory, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, China.
Yinhuan LiuDepartment of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China.
Yexin WuDepartment of Clinical Laboratory, Fuzhou Second General Hospital, Fuzhou, Fujian, China.
Feitai LinDepartment of Orthopaedic Surgery, Fuzhou Second General Hospital, Shang Teng Road No. 47 Cang'shan District, Fuzhou, Fujian, China. linfeitai@126.com.

Funding

Fuzhou Science and Technology Bureau 2021-S-163
6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the application of metagenomic next-generation sequencing (mNGS) technology to identify pathogens in periprosthetic joint infection (PJI).

methodsA retrospective analysis was conducted on 65 patients suspected of having PJI between April 2020 and July 2023. The patients were categorized into PJI (46 patients) and non-PJI (19 patients) groups based on the 2018 International Consensus Meeting criteria. Clinical data were collected, and both conventional bacterial culture and mNGS were performed. The diagnostic performance of the two methods was compared and analyzed.

resultsmNGS exhibited a sensitivity of 89.13%, a specificity of 94.74%, a positive predictive value of 97.62%, a negative predictive value of 78.26%, and an overall diagnostic accuracy of 90.77%. Compared to microbial culture, mNGS demonstrated superior diagnostic sensitivity while maintaining similar specificity. A total of 48 pathogens were successfully identified using mNGS, with Coagulase-negative staphylococci, Streptococci, Staphylococcus aureus, and Cutibacterium acnes being the most common infectious agents. Notably, mNGS was used to identify 17 potential pathogens in 14 culture-negative PJI samples, highlighting its ability to detect rare infectious agents, including Cutibacterium acnes (n = 5), Granulicatella adiacens (n = 1), Mycobacterium tuberculosis complex (n = 1), and Coxiella burnetii (n = 1), among others, which are not detectable by routine culture methods. However, mNGS failed to detect the pathogen in 4 culture-positive PJI patients, indicating its limitations. Among the 46 PJI patients, 27 had positive culture and mNGS results. The results of mNGS were concordant with those of culture at the genus level in 6 patients with PJI and at the species level in 18 patients. Furthermore, the present study revealed a significantly greater proportion of Staphylococcus aureus in the sinus tract group (45.45%) than in the non-sinus tract group (14.29%), indicating the association of this pathogen with sinus formation in PJI (P = 0.03). Additionally, there was no significant difference in the occurrence of polymicrobial infections between the sinus tract group (27.27%) and the non-sinus tract group (33.33%) (P = 0.37).

conclusionsMetagenomic next-generation sequencing can serve as a valuable screening tool in addition to traditional culture methods to improve diagnostic accuracy through optimized culture strategies.

Indexed as

High-Throughput Nucleotide SequencingMetagenomicsProsthesis-Related InfectionsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesSensitivity and SpecificityMetagenomic next-generation sequencingMicrobial culturePeriprosthetic joint infectionSinus tractStaphylococcus aureus

Identifiers

PMID38760817
PMCPMC11102132

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