ArticleArthroplasty (London, England)2026
Global trends in biomarker research for periprosthetic joint infection: a bibliometric analysis.
Article in Arthroplasty (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Global, regional, and national burden of bone and joint infections, 1990-2021: a comprehensive analysis of trends, pathogens, and antimicrobial resistance.Frontiers in cellular and infection microbiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundPeriprosthetic joint infection (PJI) remains a major diagnostic challenge, and no single biomarker provides definitive accuracy. With rapid advances in synovial, serum, and molecular assays, a comprehensive overview of global biomarker research is needed. This study provides a broad, data-driven mapping of PJI biomarker research, clarifying major thematic shifts and their implications for clinical translation.
methodsA literature search of the Web of Science Core Collection (2011-2024) identified research and review articles on PJI diagnostics and biomarkers. Bibliometric indicators, collaboration networks, and keyword co-occurrence were analyzed using VOSviewer, CiteSpace, and Bibliometrix. Co-citation and keyword analyses were used to determine influential references and evolving hotspots. Recent high-impact studies and consensus guidelines were reviewed to contextualize the findings.
resultsPJI biomarker publications increased markedly, rising from fewer than five per year before 2014 to 57 in 2020. The 380 papers included accumulated more than 5,200 citations (mean 13.8 per article). China (103) and the USA (88) accounted for half of all output, with the USA showing the strongest citation impact; Germany, the UK, and Italy were also key contributors. Collaboration mapping highlighted Parvizi, Trampuz, and the Rothman Institute as central nodes. The Journal of Arthroplasty published the largest share of studies, while JBJS-Am and CORR had the highest citations per article. Keyword evolution showed a transition from conventional serum markers (2011-2015) to synovial α-defensin and leukocyte esterase assays (2016-2018), and more recently to synovial calprotectin, machine learning, microfluidics, and molecular diagnostics (2019-2024).
conclusionFrom 2011 to 2024, PJI biomarker research grew rapidly, driven mainly by institutions in the United States, China, and Europe. Key themes included synovial α-defensin, calprotectin, machine learning, and next-generation sequencing. Future progress depends on multicenter validation, assay standardization, and integrating biomarkers into diagnostic algorithms. Stronger collaboration, data sharing, and decision-support tools will be essential for earlier and more accurate PJI diagnosis. Video Abstract.
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Registered trials
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 Socratic graph.