Evidence map›Paper›PMID 37158373›Full record

ReviewEFORT open reviews2023

Making the diagnosis in prosthetic joint infection: a European view.

Martin McNally, Irene Sigmund, Andrew Hotchen, Ricardo Sousa

Open access · goldAbstract readReview
In one paragraph

Review in EFORT open reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
11.1field-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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  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
  2. Article
  3. Article
  4. The Effects of Radioimmunotherapy and Antibiotics on Biofilm-Associated Implant Infections in a Preclinical Rat Model.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
    Article
  5. Article
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  11. Is the isolation of S. epidermidis from pre-operative synovial fluid culture a predictor of S. epidermidis prosthetic joint infection?European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  12. Article
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  20. Early and delayed periprosthetic joint infection in robot-assisted total knee arthroplasty: a multicenter study.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024
    Article
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 at 1 institution in 2 countries.

Martin McNallyThe Bone infection Unit, Nuffield Orthopaedic Centre, Oxford University Hospitals, Oxford, UK.ORCID 0000-0003-2003-9044
Irene SigmundThe Bone infection Unit, Nuffield Orthopaedic Centre, Oxford University Hospitals, Oxford, UK.
Andrew HotchenThe Bone infection Unit, Nuffield Orthopaedic Centre, Oxford University Hospitals, Oxford, UK.
Ricardo SousaPorto Bone and Joint Infection Group (GRIP), Department of Orthopaedics, Centro Hospitalar Universitario Santo António and CUF-Hospitais e Clinicas, Portugal.
Nuffield Orthopaedic Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prosthetic joint infections (PJI) can be difficult to diagnose. Studies have shown that we are missing many infections, possibly due to poor diagnostic workup and the presence of culture-negative infection. PJI diagnosis requires a methodical approach and a standardised set of criteria. Multiple PJI definitions have been published with improved accuracy in recent years. The new European Bone and Joint Infection Society definition offers some advantages in clinical practice. It identifies more clinically important infections and accurately defines those with the highest risk of treatment failure. It reduces the number of patients with uncertain diagnoses. Classification of PJIs may offer a better understanding of treatment outcomes and risk factors for failure.

Indexed as

biomarkersclassificationdefinitiondiagnosisEBJIShistologymicrobiologyprosthetic joint infection

Identifiers

PMID37158373
PMCPMC10233812
OpenAlexW4375955417

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.