Evidence map›Paper›PMID 42898820›Full record

ArticleJournal of bone and joint infection2026

Beyond the binary description of sinus tracts in periprosthetic joint infection.

Irene K Sigmund, Marjan Wouthuyzen-Bakker, Tristan Ferry, Ricardo Sousa, Daniel Pérez-Prieto, Alex Soriano, Volker Alt, Willem J Metsemakers, Martin Clauss, Rihard Trebse

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of bone and joint infection, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Irene K SigmundDepartment of Orthopaedics and Traumatology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-5068-2738
Marjan Wouthuyzen-BakkerDepartment of Medical Microbiology and Infection Prevention, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID https://orcid.org/0000-0001-7866-2467
Tristan FerryInfectious and Tropical Diseases Unit, Croix-Rousse Hospital, Hospices Civils de Lyon, Université Claude Bernard Lyon 1, Lyon, France.ORCID https://orcid.org/0000-0003-3082-7001
Ricardo SousaPorto Bone Infection Group (GRIP), Orthopaedic Department, ULS Santo António, Porto, Portugal.
Daniel Pérez-PrietoHospital del Mar, Barcelona, Spain, Autonomous University of Barcelona, Barcelona, Spain.
Alex SorianoHospital Clinic of Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-9374-0811
Volker AltDepartment for Trauma Surgery and Regensburg University Center for Muskuloskeletal Infections, University Hospital Regensburg, Regensburg, Germany.
Willem J MetsemakersDepartment of Trauma Surgery, University Hospitals Leuven, Leuven, Belgium.ORCID https://orcid.org/0000-0002-4114-9093
Martin ClaussCenter for Musculoskeletal Infections (ZMSI), Department of Orthopaedics and Trauma Surgery, University Hospital Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0002-1598-2209
Rihard TrebseOrthopaedic Hospital Valdoltra, Ankaran, Slovenia.ORCID https://orcid.org/0000-0002-1075-3351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current periprosthetic joint infection (PJI) definitions classify sinus tracts as present or absent. While this binary approach is appropriate for diagnosing PJI, it does not capture the heterogeneity of sinus tracts relevant to surgical decision-making. We propose that future studies explore a standardized characterization of sinus tract complexity to better inform surgical treatment.

Identifiers

PMID42898820
PMCPMC13679075

What OpenQuestion holds

Textmetadata
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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.