Evidence map›Paper›PMID 36047011›Full record

ArticleBone & joint research2022

Diagnosing periprosthetic joint infections : a comparison of infection definitions: EBJIS 2021, ICM 2018, and IDSA 2013.

Irene K Sigmund, Markus Luger, Reinhard Windhager, Martin A McNally

Abstract read
In one paragraph

Article in Bone & joint research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 3 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

54 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Machine Learning Based Diagnostic Models for Hip and Knee Prosthetic Joint Infection: A Systematic Review.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
    Pooled it
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  3. Novel diagnostic markers for periprosthetic joint infection: a systematic review.Frontiers in cellular and infection microbiology · 2023
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  7. How long should we keep clinical isolates involved in bone and joint infections in microbiology laboratories?European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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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

4 authors.

Irene K SigmundDepartment of Orthopaedics and Trauma Surgery, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-5068-2738
Markus LugerDepartment of Orthopaedics and Trauma Surgery, Medical University of Vienna, Vienna, Austria.
Reinhard WindhagerDepartment of Orthopaedics and Trauma Surgery, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-6321-1804
Martin A McNallyThe Bone Infection Unit, Nuffield Orthopaedic Centre, Oxford University Hospitals, Oxford, UK.ORCID 0000-0003-2003-9044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study evaluated the definitions developed by the European Bone and Joint Infection Society (EBJIS) 2021, the International Consensus Meeting (ICM) 2018, and the Infectious Diseases Society of America (IDSA) 2013, for the diagnosis of periprosthetic joint infection (PJI).

methodsIn this single-centre, retrospective analysis of prospectively collected data, patients with an indicated revision surgery after a total hip or knee arthroplasty were included between 2015 and 2020. A standardized diagnostic workup was performed, identifying the components of the EBJIS, ICM, and IDSA criteria in each patient.

resultsOf 206 included patients, 101 (49%) were diagnosed with PJI with the EBJIS definition. IDSA and ICM diagnosed 99 (48%) and 86 (42%) as infected, respectively. A total of 84 cases (41%) had an infection based on all three criteria. In 15 cases (n = 15/206; 7%), PJI was present when applying only the IDSA and EBJIS criteria. No infection was detected by one definition alone. Inconclusive diagnoses occurred more frequently with the ICM criteria (n = 30/206; 15%) compared to EBJIS (likely infections: n = 16/206; 8%) (p = 0.029). A better preoperative performance of the EBJIS definition was seen compared with the ICM and IDSA definitions (p < 0.001).

conclusionThe novel EBJIS definition identified all PJIs diagnosed by any other criteria. Use of the EBJIS definition significantly reduced the number of uncertain diagnoses, allowing easier clinical decision-making.Cite this article:

Indexed as

CRPDiagnosisInfection definitioninfectionsInfectious DiseasesJoint InfectionPeriprosthetic joint infectionperiprosthetic joint infections (PJIs)retrospective analysisrevision arthroplastyrevision surgeryrevision total hip arthroplastyrevision total knee arthroplastySynovial fluidtotal hip or knee arthroplasty

Identifiers

PMID36047011
PMCPMC9533249

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LicenceCC BY-NC-ND
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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.