Evidence map›Paper›PMID 37655845›Full record

ReviewEFORT open reviews2023

Staphylococcus aureus colonization and periprosthetic joint infection in patients undergoing elective total joint arthroplasty: a narrative review.

Michael de Buys, Krisantha Moodley, Josip Nenad Cakic, Jurek R T Pietrzak

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Pre-operative methicillin-resistantJournal of shoulder and elbow arthroplasty · 2026
    Article
  3. Phylogenetic Analysis and Structural Evaluation ofbioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Matrix porosity is associated withbioRxiv : the preprint server for biology · 2024
    Article
  13. Review
  14. Cutting Periprosthetic Infection Rate:Journal of clinical medicine · 2024
    Review
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 1 country.

Michael de BuysOrthopaedic Surgery, University of Witswatersrand, Johannesburg, South Africa.ORCID 0000-0002-8780-433X
Krisantha MoodleyEmergency Department, ER Consulting, Johannesburg, South Africa.
Josip Nenad CakicDepartment Orthopaedic Surgery, Life Fourways Hospital, Johannesburg, South Africa.
Jurek R T PietrzakOrthopaedic Surgery, University of Witswatersrand, Johannesburg, South Africa.
University of the Witwatersrand · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peri-prosthetic joint infections (PJIs) following total joint arthroplasty (TJA) are associated with higher treatment costs, longer hospital admissions and increased morbidity and mortality. Colonization with Staphylococcus aureus is an independent and modifiable risk factor for PJIs and carriers of S. aureus are ten times more likely than non-carriers for post-operative infections. Screening and targeted decolonization, vs universal decolonization without screening, remains a controversial topic. We recommend a tailored approach, based on local epidemiological patterns, resource availability and logistical capacity. Universal decolonization is associated with lower rates of SSI and may reduce treatment costs.

Indexed as

arthroplastycolonizationeradicationinfectionPJIstaphylococcusStaphylococcus aureus

Identifiers

PMID37655845
PMCPMC10548302
OpenAlexW4386346712

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.