Evidence map›Paper›PMID 35755833›Full record

SynthesisFrontiers in cellular and infection microbiology2022

The Effectiveness of Metagenomic Next-Generation Sequencing in the Diagnosis of Prosthetic Joint Infection: A Systematic Review and Meta-Analysis.

Jun Tan, Yang Liu, Sabrina Ehnert, Andreas K Nüssler, Yang Yu, Jianzhong Xu, Tao Chen

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 7 pooled it
12.9field-weighted citation impact, top 1% of its field
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

37 citing papers in PubMed, 7 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  16. Periprosthetic Joint Infection (PJI).The archives of bone and joint surgery · 2025
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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

7 authors at 3 institutions in 3 countries.

Jun TanDepartment of Orthopedic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yang LiuDepartment of Clinical Sciences, Orthopedics, Faculty of Medicine, Lund University, Lund, Sweden.
Sabrina EhnertDepartment of Trauma and Reconstructive Surgery, BG Trauma Center Tübingen, Siegfried Weller Institute for Trauma Research, Eberhard Karls University Tübingen, Tübingen, Germany.
Andreas K NüsslerDepartment of Trauma and Reconstructive Surgery, BG Trauma Center Tübingen, Siegfried Weller Institute for Trauma Research, Eberhard Karls University Tübingen, Tübingen, Germany.
Yang YuDepartment of Orthopedic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jianzhong XuDepartment of Orthopedic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Tao ChenDepartment of Orthopedic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNUniversity of Tübingen · DELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A prosthetic joint infection (PJI) is a devastating complication following total joint arthroplasties with poor prognosis. Identifying an accurate and prompt diagnostic method is particularly important for PJI. Recently, the diagnostic value of metagenomic next-generation sequencing (mNGS) in detecting PJI has attracted much attention, while the evidence of its accuracy is quite limited. Thus, this study aimed to evaluate the accuracy of mNGS for the diagnosis of PJI. Methods: We summarized published studies to identify the potential diagnostic value of mNGS for PJI patients by searching online databases using keywords such as "prosthetic joint infection", "PJI", and "metagenomic sequencing". Ten of 380 studies with 955 patients in total were included. The included studies provided sufficient data for the completion of 2-by-2 tables. We calculated the sensitivity, specificity, and area under the SROC curve (AUC) to evaluate mNGS for PJI diagnosis. Results: We found that the pooled diagnostic sensitivity and specificity of mNGS for PJI were 0.93 (95% CI, 0.83 to 0.97) and 0.95 (95% CI, 0.92 to 0.97), respectively. Positive and negative likelihood ratios were 18.3 (95% CI, 10.9 to 30.6) and 0.07 (95% CI, 0.03 to 0.18), respectively. The area under the curve was 0.96 (95% CI, 0.93 to 0.97). Conclusion: Metagenomic next-generation sequencing displays high accuracy in the diagnosis of PJI, especially for culture-negative cases.

Indexed as

Arthritis, InfectiousProsthesis-Related InfectionsHigh-Throughput Nucleotide SequencingHumansMetagenomicsSensitivity and SpecificitySynovial Fluidarthroplastyclinical diagnosis and treatmentinfection diseasemetagenomicsnext-generation sequencingprosthetic joint infection

Identifiers

PMID35755833
PMCPMC9226560
OpenAlexW4281930148

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.