Evidence map›Paper›PMID 38613628›Full record

ArticleInfectious diseases and therapy2024

Fungal Prosthetic Joint Infection: A Case Series and Review of the Literature.

Victoria Starnes, Joan Duggan, Caitlyn Hollingshead

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Fungal Prosthetic Joint Infection byAntibiotics (Basel, Switzerland) · 2025
    Article
  4. 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

3 authors at 1 institution in 1 country.

Victoria StarnesThe University of Toledo College of Medicine and Life Sciences, Toledo, USA.ORCID http://orcid.org/0009-0000-9185-1414
Joan DugganDivision of Infectious Diseases, The University of Toledo College of Medicine and Life Sciences, Toledo, USA.ORCID http://orcid.org/0000-0002-3049-2355
Caitlyn HollingsheadDivision of Infectious Diseases, The University of Toledo College of Medicine and Life Sciences, Toledo, USA. caitlyn.hollingshead@utoledo.edu.ORCID http://orcid.org/0000-0002-2806-1409
University of Toledo · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFungal prosthetic joint infections comprise less than 1% of prosthetic joint infections. Thus, little is known regarding optimal management. This study aims to characterize the microbiology, surgical and medical management, and outcomes for these complex infections. The objectives of this study were to assess the impact of surgical approach, antifungal treatment, fungal species, and time to onset of infection from initial surgery on patient outcomes.

methodsA retrospective record review over 12 years was performed in two health systems that included patients with a deep culture positive for a fungal isolate and the presence of a prosthetic joint. A literature review was performed using the same inclusion criteria. A total of 289 cases were identified and analyzed.

resultsCandida was the most common isolate, and a two-stage revision was the most commonly employed surgical modality. The type of surgical intervention had a statistically significant relationship with outcome (P = 0.022).

conclusionsTwo-stage revision with extended antifungal therapy is preferred in these infections due to higher rates of positive outcomes.

Indexed as

FungalOrthopedic infectionsProsthetic joint infection

Identifiers

PMID38613628
PMCPMC11098995
OpenAlexW4394784802

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.