Evidence map›Paper›PMID 36901750›Full record

ReviewInternational journal of molecular sciences2023

The Challenge of Periprosthetic Joint Infection Diagnosis: From Current Methods to Emerging Biomarkers.

Corneliu Ovidiu Vrancianu, Bogdan Serban, Irina Gheorghe-Barbu, Ilda Czobor Barbu, Roxana Elena Cristian, Mariana Carmen Chifiriuc, Catalin Cirstoiu

Full text readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed, 1 synthesis or guideline 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
  2. Review
  3. Article
  4. Effect of sonication on staphylococcal and gram-negative biofilms relevant to prosthetic joint infections: an in vitro study.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. DACBiomedicines · 2025
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

7 authors.

Corneliu Ovidiu VrancianuMicrobiology Immunology Department, Faculty of Biology, University of Bucharest, 050095 Bucharest, Romania.ORCID 0000-0002-2409-0966
Bogdan SerbanUniversity Emergency Hospital, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Irina Gheorghe-BarbuMicrobiology Immunology Department, Faculty of Biology, University of Bucharest, 050095 Bucharest, Romania.
Ilda Czobor BarbuMicrobiology Immunology Department, Faculty of Biology, University of Bucharest, 050095 Bucharest, Romania.
Roxana Elena CristianThe Research Institute of the University of Bucharest, 050095 Bucharest, Romania.
Mariana Carmen ChifiriucMicrobiology Immunology Department, Faculty of Biology, University of Bucharest, 050095 Bucharest, Romania.ORCID 0000-0001-6098-1857
Catalin CirstoiuUniversity Emergency Hospital, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.

Funding

C1.2.PFE-CDI.2021-587/ 41PFE/30.12.2021C1.2.PFE-CDI.2021-587/ PN-III-P1-1.1-TE-2021-1515 (TE 112/2022)EURO-MEDEX 33/PFE/2021
6 · The paper itself

Abstract

Due to the increase in the life span and mobility at older ages, the number of implanted prosthetic joints is constantly increasing. However, the number of periprosthetic joint infections (PJIs), one of the most severe complications after total joint arthroplasty, also shows an increasing trend. PJI has an incidence of 1-2% in the case of primary arthroplasties and up to 4% in the case of revision operations. The development of efficient protocols for managing periprosthetic infections can lead to the establishment of preventive measures and effective diagnostic methods based on the results obtained after the laboratory tests. In this review, we will briefly present the current methods used in PJI diagnosis and the current and emerging synovial biomarkers used for the prognosis, prophylaxis, and early diagnosis of periprosthetic infections. We will discuss treatment failure that may result from patient factors, microbiological factors, or factors related to errors during diagnosis.

Indexed as

Arthritis, InfectiousArthroplasty, Replacement, HipArthroplasty, Replacement, KneeProsthesis-Related InfectionsBiomarkersHumansSynovial FluidBiomarkersarthroplastybiomarkersjoint infectionperiprostheticsynovial culture

Identifiers

PMID36901750
PMCPMC10002145

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read66
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 Socratic graph.