Evidence map›Paper›PMID 37529352›Full record

SynthesisFrontiers in cellular and infection microbiology2023

Novel diagnostic markers for periprosthetic joint infection: a systematic review.

Melanie Schindler, Nike Walter, Guenther Maderbacher, Irene K Sigmund, Volker Alt, Markus Rupp

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Diagnostic work-up in periprosthetic joint infections of the knee: can the albumin-to-globulin ratio be a screening tool?Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2025
    Article
  12. Synovial fluid calprotectin quantitative rapid diagnostic biomarker for risk stratification of periprosthetic joint infections.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 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

6 authors.

Melanie SchindlerDepartment of Trauma Surgery, University Hospital Regensburg, Regensburg, Germany.
Nike WalterDepartment of Trauma Surgery, University Hospital Regensburg, Regensburg, Germany.
Guenther MaderbacherDepartment of Orthopaedic Surgery, University Hospital of Regensburg, Asklepios Klinikum Bad Abbach, Bad Abbach, Germany.
Irene K SigmundNuffield Orthopaedic Centre, Oxford University Hospitals National Health Service (NHS) Foundation Trust, Oxford, United Kingdom.
Volker AltDepartment of Trauma Surgery, University Hospital Regensburg, Regensburg, Germany.
Markus RuppDepartment of Trauma Surgery, University Hospital Regensburg, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Identifying novel biomarkers that are both specific and sensitive to periprosthetic joint infection (PJI) has the potential to improve diagnostic accuracy and ultimately enhance patient outcomes. Therefore, the aim of this systematic review is to identify and evaluate the effectiveness of novel biomarkers for the diagnosis of PJI. Methods: We searched the MEDLINE, EMBASE, PubMed, and Cochrane Library databases from January 1, 2018, to September 30, 2022, using the search terms "periprosthetic joint infection," "prosthetic joint infection," or "periprosthetic infection" as the diagnosis of interest and the target index, combined with the term "marker." We excluded articles that mentioned established biomarkers such as CRP, ESR, Interleukin 6, Alpha defensin, PCT (procalcitonin), and LC (leucocyte cell count). We used the MSIS, ICM, or EBJS criteria for PJI as the reference standard during quality assessment. Results: We collected 19 studies that analyzed fourteen different novel biomarkers. Proteins were the most commonly analyzed biomarkers (nine studies), followed by molecules (three studies), exosomes (two studies), DNA (two studies), interleukins (one study), and lysosomes (one study). Calprotectin was a frequently analyzed and promising marker. In the scenario where the threshold was set at ≥50-mg/mL, the calprotectin point-of-care (POC) performance showed a high sensitivity of 98.1% and a specificity of 95.7%. Conclusion: None of the analyzed biomarkers demonstrated outstanding performance compared to the established parameters used for standardized treatment based on established PJI definitions. Further studies are needed to determine the benefit and usefulness of implementing new biomarkers in diagnostic PJI settings.

Indexed as

alpha-DefensinsArthritis, InfectiousProsthesis-Related InfectionsBiomarkersHumansLeukocyte CountProcalcitoninSensitivity and Specificityalpha-DefensinsBiomarkersProcalcitonindiagnostic markerdiagnosticsperiprosthetic joint infectionPJIsynovial fluid

Identifiers

PMID37529352
PMCPMC10388554

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.