Evidence map›Paper›PMID 39035845›Full record

ArticleJournal of experimental orthopaedics2024

Multiplex PCR in septic arthritis and periprosthetic joint infections microorganism identification: Results from the application of a new molecular testing diagnostic algorithm.

Stefano Ghirardelli, Federica Scaggiante, Christina Troi, Pieralberto Valpiana, Giovanni Cristofolini, Giuseppe Aloisi, Bruno Violante, Arcangelo Russo, Sebastian Schaller, Pier F Indelli

Abstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Stefano GhirardelliSüdtiroler Sanitätsbetrieb Brixen Italy.
Federica ScaggianteSüdtiroler Sanitätsbetrieb Brixen Italy.
Christina TroiSüdtiroler Sanitätsbetrieb Brixen Italy.
Pieralberto ValpianaSüdtiroler Sanitätsbetrieb Brixen Italy.
Giovanni CristofoliniSüdtiroler Sanitätsbetrieb Brixen Italy.
Giuseppe AloisiDipartimento di Medicina Clinica, Sanita' Pubblica, Scienze della Vita e dell'Ambiente Universita' degli Studi dell'Aquila L'Aquila Italy.
Bruno ViolanteOspedale Isola Tiberina, Gemelli Isola UOC Chirurgia Protesica e Traumatologica Rome Italy.
Arcangelo RussoUniversita' degli Studi di Enna "Kore" Enna Italy.
Sebastian SchallerParacelsus Medical University (PMU), Institute of Biomechanics Paracelsus Medical University Salzburg Austria.
Pier F IndelliSüdtiroler Sanitätsbetrieb Brixen Italy.ORCID https://orcid.org/0000-0002-4752-8027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Pathogen identification is key in the treatment of septic arthritis (SA) and periprosthetic joint infections (PJI). This study evaluates the outcome of the application of a new, score-based SA and PJI diagnostic algorithm, which includes the execution of molecular testing on synovial fluid. Methods: A score-based diagnostic algorithm, which includes serologic and synovial fluid markers determination using multiplex PCR (mPCR) and Next Generation Sequencing (NGS) molecular testing, has been applied to a consecutive series of patients with clinically suspected SA or PJI. Patients with a score ≥6 underwent synovial fluid molecular testing, together with traditional culture, to identify the pathogen and its genetically determined antibiotic resistance. Results: One hundred and seventeen joints in 117 patients (62.5% women; average age 73 years) met the criteria for possible SA/PJI. The affected joint was the knee in 87.5% (joint replacement 66.5%; native joint 21%) and the hip in 12.5% (all replaced joints). 43/117 patients (36.7%) were ultimately diagnosed with SA/PJI. Among the various testing technologies applied, mPCR was the main determinant for pathogen identification in 63%, standard culture in 26%, and mNGS in 11%. Conclusions: Molecular diagnostic technologies represent an innovative screening for fast microorganism identification when a joint infection is clinically suspected. Level of Evidence: Level IV, case series.

Indexed as

BioFireDAPRImultiplex PCRNGSperiprosthetic joint infectionsPJIseptic arthritissynovial fluidtotal knee arthroplasty (TKA)

Identifiers

PMID39035845
PMCPMC11260279

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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.