Evidence map›Paper›PMID 35453256›Full record

ArticleAntibiotics (Basel, Switzerland)2022

Potential Blood Biomarkers for Diagnosing Periprosthetic Joint Infection: A Single-Center, Retrospective Study.

Hong Xu, Jinwei Xie, Shaoyun Zhang, Duan Wang, Zeyu Huang, Zongke Zhou

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 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

6 authors at 1 institution in 1 country.

Hong XuDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu 610000, China.
Jinwei XieDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu 610000, China.
Shaoyun ZhangDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu 610000, China.ORCID 0000-0002-1630-4346
Duan WangDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu 610000, China.
Zeyu HuangDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu 610000, China.
Zongke ZhouDepartment of Orthopedics, Orthopedic Research Institute, West China Hospital, Sichuan University, Chengdu 610000, China.ORCID 0000-0002-9037-4756
Sichuan University · CN

Funding

West China Hospital of Sichuan University ZYJC18039
6 · The paper itself

Abstract

backgroundBlood biomarkers are first-line tools for identifying periprosthetic joint infection (PJI). C-reactive protein (CRP) is currently recognized as the standard biomarker for PJI diagnosis. Other recently reported novel biomarkers, including plasma fibrinogen, platelet count, monocyte/lymphocyte ratio (MLR), neutrophil/lymphocyte ratio (NLR), and platelet count/lymphocyte ratio (PLR), have also shown promise in diagnosing PJI. This study aimed to evaluate whether these biomarkers were superior to CRP for identifying PJI.

methodsPatients who underwent revision hip or knee arthroplasty at our hospital from January 2008 to September 2020 were included consecutively and divided into infected and non-infected groups according to the 2013 International Consensus Meeting Criteria. Blood samples were collected preoperatively, and erythrocyte sedimentation rate (ESR), CRP, interleukin-6, fibrinogen, platelet count, MLR, NLR, and PLR were analyzed. The diagnostic values of the tested biomarkers and their combinations were compared with CRP based on the area under the receiver operating characteristic curve (AUC) using the z-test. Classification trees were constructed to explore more accurate combinations of the tested markers for identifying PJI.

resultsA total of 543 patients were included, of whom 245 had PJI. Among the tested biomarkers, CRP with a cutoff of 7.39 mg/L showed the highest AUC, which gave a sensitivity of 79.1% and specificity of 86.0%. The AUCs of pairwise combinations of tested markers including CRP also were inferior to CRP itself, as were combinations derived from classification trees.

conclusionsPreoperative serum CRP with a low cutoff may be the best reliable blood biomarker for identifying PJI, and those traditional or novel available blood biomarkers could not further improve the diagnostic ability on the basis of CRP.

Indexed as

blood markersC-reactive proteindiagnosisperiprosthetic joint infectionrevision arthroplasty

Identifiers

PMID35453256
PMCPMC9030667
OpenAlexW4223637290

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.