Evidence map›Paper›PMID 40256041›Full record

ArticleOpen forum infectious diseases2025

Diagnosis of Prosthetic Joint Infection of Hips and Knees-One Size Does Not Fit All.

Anne Spichler-Moffarah, Lauren Daddi, Duc Nguyen, Ilda Molloy, Marjorie Golden

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper 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
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

5 authors.

Anne Spichler-MoffarahDivision of Infectious Diseases, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.
Lauren DaddiYale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-9464-017X
Duc NguyenDivision of Infectious Diseases, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0009-0003-3638-2557
Ilda MolloyDepartment of Orthopedics & Rehabilitation, Division of Adult Reconstruction, Yale University School of Medicine, New Haven, Connecticut, USA.
Marjorie GoldenDivision of Infectious Diseases, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-6129-9216

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no consensus on diagnostic criteria for hip and knee periprosthetic joint infections (PJIs). This study evaluated Infectious Diseases Society of America (IDSA), International Consensus Meeting 2018 (ICM2018), and European Bone and Joint Society (EBJIS) criteria, finding IDSA most accurate for early PJI and knee infections, while ICM2018 and EBJIS were superior for delayed and late cases. Diagnostic approaches should consider infection timing and context.

Indexed as

classificationcriteriadiagnosticsprosthetic joint infectionscoring

Identifiers

PMID40256041
PMCPMC12006793

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.