Evidence map›Paper›PMID 34656157›Full record

SynthesisJournal of orthopaedic surgery and research2021

Diagnostic accuracy of synovial fluid D-lactate for periprosthetic joint infection: a systematic review and meta-analysis.

Zhizhuo Li, Chengxin Li, Guangxue Wang, Lijun Shi, Tengqi Li, Xiaoyu Fan, Xin Xu, Peixu Wang, Fuqiang Gao, Wei Sun

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  12. [Experimental study of silkworm larvae plasma colorimetry based on immune cascade reaction in accurate diagnosis of periprosthetic joint infection].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2022
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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

10 authors at 3 institutions in 1 country.

Zhizhuo Li *Department of Orthopedics, Peking University China-Japan Friendship School of Clinical Medicine, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China.
Chengxin Li *Department of Orthopedics, Peking University China-Japan Friendship School of Clinical Medicine, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China.
Guangxue Wang *Department of Orthopedics, Peking University China-Japan Friendship School of Clinical Medicine, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China.
Lijun Shi *Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Tengqi LiDepartment of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Xiaoyu FanDepartment of Orthopedics, Peking University China-Japan Friendship School of Clinical Medicine, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China.
Xin XuDepartment of Orthopedics, Graduate School of Peking Union Medical College, China-Japan Friendship Institute of Clinical Medicine, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China.
Peixu WangDepartment of Orthopedics, Graduate School of Peking Union Medical College, China-Japan Friendship Institute of Clinical Medicine, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China.
Fuqiang GaoBeijing Key Laboratory of Immune Inflammatory Disease, China-Japan Friendship Hospital, Peking Union Medical College, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China.
Wei SunBeijing Key Laboratory of Immune Inflammatory Disease, China-Japan Friendship Hospital, Peking Union Medical College, 2 Yinghuadong Road, Chaoyang District, Beijing, 100029, China. cjfhsunw@163.com.ORCID http://orcid.org/0000-0002-4089-0293
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

National Natural Science Foundation of China 81672236National Natural Science Foundation of China 81802224National Natural Science Foundation of China 81871830
6 · The paper itself

Abstract

backgroundPeriprosthetic joint infection is a grievous complication after arthroplasty that greatly affects the quality of life of patients. Rapid establishment of infection diagnosis is essential, but great challenges still exist.

methodsWe conducted research in the PubMed, Embase, and Cochrane databases to evaluate the diagnostic accuracy of D-lactate for PJI. Data extraction and quality assessment were completed independently by two reviewers. The pooled sensitivity, specificity, likelihood ratios, diagnostic odds ratio (DOR), summarized receiver operating characteristic curve (sROC), and area under the sROC curve (AUC) were constructed using the bivariate meta-analysis framework.

resultsFive eligible studies were included in the quantitative analysis. The pooled sensitivity and specificity of D-lactate for the diagnosis of PJI were 0.82 (95% CI 0.70-0.89) and 0.76 (95% CI 0.69-0.82), respectively. The value of the pooled diagnostic odds ratio (DOR) of D-lactate for PJI was 14.18 (95% CI 6.17-32.58), and the area under the curve (AUC) was 0.84 (95% CI 0.80-0.87).

conclusionsAccording to the results of our meta-analysis, D-lactate is a valuable synovial fluid marker for recognizing PJI, with high sensitivity and specificity.

Indexed as

Prosthesis-Related InfectionsArthritis, InfectiousBiomarkersHumansLactic AcidQuality of LifeSynovial FluidBiomarkersLactic AcidArthroplastyD-lactateMeta-analysisPeriprosthetic joint infectionSynovial fluid

Identifiers

PMID34656157
PMCPMC8520230
OpenAlexW3199814540

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.