Evidence map›Paper›PMID 31069072›Full record

ArticleBone & joint research2019

Synovial fluid interleukin-16, interleukin-18, and CRELD2 as novel biomarkers of prosthetic joint infections.

M-F Chen, C-H Chang, L-Y Yang, P-H Hsieh, H-N Shih, S W N Ueng, Y Chang

Open access · goldAbstract read
In one paragraph

Article in Bone & joint research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  6. Creld2 function during unfolded protein response is essential for liver metabolism homeostasis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
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  8. Review
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  13. Letter to the Editor regarding "Serum interleukin 6 could be a valuable initial diagnostic tool in prosthetic knee joint infections".European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2020
    Article
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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 1 institution in 1 country.

M-F ChenBone and Joint Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
C-H ChangBone and Joint Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Orthopaedic Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan; Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
L-Y YangBiostatistics Unit, Clinical Trial Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
P-H HsiehBone and Joint Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Orthopaedic Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
H-N ShihBone and Joint Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Orthopaedic Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
S W N UengBone and Joint Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Orthopaedic Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Y ChangBone and Joint Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan; Department of Orthopaedic Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesProsthetic joint infection (PJI) diagnosis is a major challenge in orthopaedics, and no reliable parameters have been established for accurate, preoperative predictions in the differential diagnosis of aseptic loosening or PJI. This study surveyed factors in synovial fluid (SF) for improving PJI diagnosis.

methodsWe enrolled 48 patients (including 39 PJI and nine aseptic loosening cases) who required knee/hip revision surgery between January 2016 and December 2017. The PJI diagnosis was established according to the Musculoskeletal Infection Society (MSIS) criteria. SF was used to survey factors by protein array and enzyme-linked immunosorbent assay to compare protein expression patterns in SF among three groups (aseptic loosening and first- and second-stage surgery). We compared routine clinical test data, such as C-reactive protein level and leucocyte number, with potential biomarker data to assess the diagnostic ability for PJI within the same patient groups.

resultsCut-off values of 1473 pg/ml, 359 pg/ml, and 8.45 pg/ml were established for interleukin (IL)-16, IL-18, and cysteine-rich with EGF-like domains 2 (CRELD2), respectively. Receiver operating characteristic curve analysis showed that these factors exhibited an accuracy of 1 as predictors of PJI. These factors represent potential biomarkers for decisions associated with prosthesis reimplantation based on their ability to return to baseline values following the completion of debridement.

conclusionIL-16, IL-18, and CRELD2 were found to be potential biomarkers for PJI diagnosis, with SF tests outperforming blood tests in accuracy. These factors could be useful for assessing successful debridement based on their ability to return to baseline values following the completion of debridement.

Indexed as

BiomarkersDiagnosisInterleukin-16Prosthetic joint infectionSynovial fluid

Identifiers

PMID31069072
PMCPMC6498892
OpenAlexW2929502914

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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.