Evidence map›Paper›PMID 42699484›Full record

ReviewFrontiers in microbiology2026

What constitutes a true polymicrobial periprosthetic joint infection? From multiple detections to organism-level causality.

Jixin Chen, Qinxin Zhou, Yongming Zhang, Jianliang Chen, Xiaodong Zheng, Feng Ye

Abstract readReview
In one paragraph

Review in Frontiers in 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

6 authors.

Jixin Chen *Department of Orthopaedic Surgery, Shaoxing Shangyu District Hospital of Traditional Chinese Medicine, Shaoxing, China.
Qinxin Zhou *Department of Orthopaedic Surgery, Shaoxing Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University, Shaoxing, China.
Yongming ZhangDepartment of Orthopaedic Surgery, Shaoxing Shangyu District Hospital of Traditional Chinese Medicine, Shaoxing, China.
Jianliang ChenDepartment of Orthopaedic Surgery, Shaoxing Shangyu District Hospital of Traditional Chinese Medicine, Shaoxing, China.
Xiaodong ZhengDepartment of Orthopaedic Surgery, Shaoxing Shangyu District Hospital of Traditional Chinese Medicine, Shaoxing, China.
Feng YeDepartment of Orthopaedic Surgery, Shaoxing Shangyu District Hospital of Traditional Chinese Medicine, Shaoxing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymicrobial periprosthetic joint infection (PJI) is often defined by recovery of two or more microorganisms from the same clinical episode, but this numerical definition is biologically incomplete. A second organism may represent a true co-pathogen, colonization, contamination, reagent background, nonviable DNA after antimicrobial exposure, or an analytically plausible signal of uncertain clinical importance. Established PJI definitions determine whether infection is present but do not provide a validated organism-level rule for assigning causality to every detection. We therefore propose a sequential approach: first establish PJI using accepted episode-level criteria, then adjudicate each detected microorganism separately before classifying the episode as polymicrobial. This Mini Review examines evidence relevant to organism-level causal attribution, including sampling integrity, reproducibility across independent deep specimens, anatomical coherence, orthogonal confirmation, quantitative and temporal signal, organism biology, and clinical concordance. We also consider how tissue culture, synovial fluid culture, sonication, blood culture, PCR, and metagenomic sequencing generate different interpretive challenges, particularly after antimicrobial exposure. Finally, we propose a pragmatic four-category vocabulary-strongly supported participant, probable participant, uncertain detection, and likely contaminant-to make organism-level causal confidence explicit in multidisciplinary interpretation and research reporting. This framework is intended as an interpretive aid rather than a validated diagnostic score. Whether it improves inter-rater consistency, antimicrobial precision, or organism-specific outcomes requires prospective validation.

Indexed as

antimicrobial stewardshipcontaminationmetagenomic sequencingmicrobiological diagnosisorganism-level causalityperiprosthetic joint infectionpolymicrobial infectionsonication

Identifiers

PMID42699484
PMCPMC13544741

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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.