Evidence map›Paper›PMID 31127365›Full record

ArticleInternational orthopaedics2020

Improved diagnostic accuracy with the classification tree method for diagnosing low-grade periprosthetic joint infections by quantitative measurement of synovial fluid alpha-defensin and C-reactive protein.

Max Ettinger, Peter Savov, Tilman Calliess, Henning Windhagen, Ralf Lichtinghagen, Alexander Lukasz, Mohamed Omar

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Article in International orthopaedics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
2.9field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Max EttingerDepartment of Orthopaedic Surgery, Hannover Medical School, Anna-von-Borries-Straße 1-7, 30625, Hannover, Germany. max@ettinger.info.
Peter SavovDepartment of Orthopaedic Surgery, Hannover Medical School, Anna-von-Borries-Straße 1-7, 30625, Hannover, Germany.
Tilman CalliessDepartment of Orthopaedic Surgery, Hannover Medical School, Anna-von-Borries-Straße 1-7, 30625, Hannover, Germany.
Henning WindhagenDepartment of Orthopaedic Surgery, Hannover Medical School, Anna-von-Borries-Straße 1-7, 30625, Hannover, Germany.
Ralf LichtinghagenDepartment of Medicine D, Division of General Internal Medicine, Nephrology, and Rheumatology, University Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Munster, Germany.
Alexander LukaszDepartment of Laboratory Medicine, Hannover Medical School, Carl-Neuberg Strasse 1, 30625, Hannover, Germany.
Mohamed OmarDepartment of Trauma Surgery, Hannover Medical School, Carl-Neuberg Strasse 1, 30625, Hannover, Germany.
Medizinische Hochschule Hannover · DEUniversity Hospital Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe diagnosis of low-grade periprosthetic joint infections (PJIs) is challenging, because patients may present with unspecific symptoms, false-negative cultures, or marginally elevated values of serum biomarkers like C-reactive protein (CRP). This may lead to the unintended implantation of a revision prosthesis into an infected surgical site with a repeat risk of short-term failure. Conversely, false diagnosis of joint infection may result in multistage revision procedures, which expose the patient to unnecessary surgical procedures and inappropriate antibiotic treatment. Here, we investigated whether synovial biomarkers can preoperatively distinguish between aseptic prosthesis loosening and low-grade joint infection and the most accurate biomarker combinations.

methodsInclusion criteria for the study were indication for revision arthroplasty due to aseptic implant failure, acute high-grade infection, or (suspected) low-grade infection. We prospectively collected synovial fluid of patients undergoing revision arthroplasty for quantitative measurement of alpha defensin, CRP, interleukin (IL-6), IL-10, and lipopolysaccharide binding protein (LBP).

resultsThe classification tree method revealed alpha defensin and CRP as the most suitable biomarker combination to distinguish between aseptic loosening and low-grade joint infection. The combination of CRP > 2.0 mg/L and alpha defensin > 90.000 pg/mL correctly identified nine  of 11 patients with low-grade infection.

conclusionsAlpha defensin plus CRP seems to be the most helpful combination for pre-operative discrimination of aseptic loosening vs. low-grade joint infection.

Indexed as

AdultAgedAged, 80 and overalpha-DefensinsBiomarkersC-Reactive ProteinFemaleHumansMaleMiddle AgedProspective StudiesProsthesis FailureProsthesis-Related InfectionsSynovial Fluidalpha-DefensinsBiomarkersC-Reactive ProteinHigh-gradeJoint infectionLow-gradeSeptic joint failure

Identifiers

PMID31127365
OpenAlexW2945427687

What OpenQuestion holds

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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.