Evidence map›Paper›PMID 41799724›Full record

ArticleJournal of medical biochemistry2026

Continuous monitoring of serum markers for early detection of periprosthetic joint infection in osteoporotic patients undergoing hip arthroplasty: A prospective cohort study.

Panfeng Wang, Dayuan Xu, Yan Xia, Yuntong Zhang, Yongming Sun

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

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4 · The record

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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.

Panfeng WangThe Second Affiliated Hospital of Soochow University, Department of Orthopedics, Suzhou, Jiangsu, China.
Dayuan XuChanghai Hospital, Navy Military Medical University, War and Trauma Emergency Centre, Shanghai, China.
Yan XiaChanghai Hospital, Navy Military Medical University, War and Trauma Emergency Centre, Shanghai, China.
Yuntong ZhangChanghai Hospital, Navy Military Medical University, War and Trauma Emergency Centre, Shanghai, China.
Yongming SunThe Second Affiliated Hospital of Soochow University, Department of Orthopedics, Suzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Periprosthetic joint infection (PJI) is a significant complication following hip arthroplasty, especially in osteoporotic patients. Early detection is crucial for improving outcomes but remains challenging. This study assesses the effectiveness of continuous monitoring of serum markers - C-reactive protein (CRP), procalcitonin (PCT), erythrocyte sedimentation rate (ESR), D-dimer, white blood cell count (WBC), ferritin, soluble CD14 (sCD14), matrix metalloproteinase-9 (MMP-9), and serum amyloid A (SAA) - for early detection of PJI in osteoporotic patients undergoing hip arthroplasty. Methods: A prospective cohort study included 150 osteoporotic patients undergoing hip arthroplasty. Inflammatory markers were measured preoperatively and at 24-, 48-, and 72 hours post-surgery, with weekly follow-ups for 6 weeks. PJI was diagnosed based on clinical, microbiological, and imaging criteria. The diagnostic performance of individual markers was assessed using Receiver Operating Characteristic (ROC) curves. Results: Among the 150 patients, 12 (8%) developed PJI within 6 weeks. At 48 hours post-surgery, CRP PCT, ESR, D-dimer, WBC, sCD14, and SAA were significantly higher in the PJI group compared to the non-infected group (p< 0.05 for all). Ferritin and MMP-9 levels showed higher values in the infected group but did not reach statistical significance (p= 0.076 and p= 0.094, respectively). The combination of CRP D-dimer, WBC, sCD14, and SAA demonstrated 90% sensitivity and 92% specificity for PJI detection. Conclusions: Continuous monitoring of CRP, D-dimer, WBC, sCD14, and SAA offers a reliable approach for early detection of PJI in osteoporotic patients undergoing hip arthroplasty. These markers showed strong associations with infection, while ferritin and MMP-9 were less informative. This strategy may help improve early diagnosis and patient outcomes.

Indexed as

CRPD-dimerearly detectionferritinhip arthroplastyinflammatory markersMMP-9osteoporotic patientsPCTperiprosthetic joint infectionSAAsCD14WBC

Identifiers

PMID41799724
PMCPMC12967202

What Socratic 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 Socratic graph.