The boundary between microbial detection and implant-related infection: a structured narrative review of analytical credibility, biological persistence, host response, and clinical causality - Summary - MDSpire
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Distinguishing Microbial Detection from Implant-Related Infection: A Structured Narrative Review of Analytical Validity, Biological Persistence, Host Response, and Clinical Causality

  • By

  • Liao Chang-sheng

  • Lan feng-jun

  • Liu huan-sheng

  • Huang qiang

  • Zhou zong-ke

  • October 12, 2026

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Objective:

To examine how microbial or molecular signals from orthopaedic implants should be distinguished from confirmed implant-related infection, focusing on analytical credibility, biological persistence, and clinical causality.

Approach:
  • Design: Structured narrative review, prepared with consideration of SANRA; no meta-analysis was conducted.
  • Search: PubMed, Embase, and Web of Science were searched through 27 June 2026, with reference-list screening.
  • Evidence framework: Evidence was organized by implant and sampling context, including routine fracture-device removal, arthroplasty and spinal revision, and mechanistic investigations.
Key Findings:
  • Positive culture, sonication, PCR, sequencing, or other microbial signals may occur without evidence sufficient to confirm implant-related infection.
  • An indeterminate signal may reflect contamination, non-viable microbial material, viable persistence without clinical manifestations, or infection missed by an incomplete workup or attenuated host response.
  • The causal significance of a finding varies by context; organisms detected during revision for implant failure may have contributed to that failure.
  • Molecular and animal studies can support mechanistic plausibility but cannot independently establish clinical causality.
  • Diagnostic frameworks for arthroplasty and fracture-related infection distinguish confirmatory from suggestive findings and require interpretation alongside clinical, histological, and other evidence.
Interpretation:

The review frames microbial detection and infection diagnosis as distinct inferences. It treats “stable coexistence” as a longitudinal phenotype or hypothesis, not as a microbiological state directly proven by the evidence described.

Limitations:
  • This is a narrative review, not a systematic evaluation of diagnostic accuracy or intervention effects.
  • The evidence spans heterogeneous populations, sampling protocols, infection definitions, methods, treatment exposures, and outcomes; meta-analysis was not undertaken.
  • The supplied context ends during the diagnostic-definitions section and does not provide the review’s full results or conclusions.

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