Evidence map›Paper›PMID 23740731›Full record

SynthesisJournal of clinical microbiology2013

PCR-based diagnosis of prosthetic joint infection.

Xinhua Qu, Zanjing Zhai, Huiwu Li, Haowei Li, Xuqiang Liu, Zhenan Zhu, You Wang, Guangwang Liu, Kerong Dai

Open access · bronzeAbstract readEvaluation StudyMeta-Analysis
In one paragraph

Synthesis in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 7 pooled it
7.0field-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

36 citing papers in PubMed, 7 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. The application of sonication in diagnosis of periprosthetic joint infection.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
    Pooled it
  5. Accuracy of diagnostic tests for prosthetic joint infection: a systematic review.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2016
    Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Tissue-level cytokines in a rodent model of chronic implant-associated infection.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2021
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Xinhua QuDepartment of Orthopedics, Shanghai Key Laboratory of Orthopedic Implants, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zanjing Zhai
Huiwu Li
Haowei Li
Xuqiang Liu
Zhenan Zhu
You Wang
Guangwang Liu
Kerong Dai
Shanghai Ninth People's Hospital · CNShanghai Jiao Tong University · CNXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We performed a meta-analysis to evaluate use of PCR assays for diagnosis of prosthetic joint infection (PJI). The pooled sensitivity and specificity were 0.86 (95% confidence interval [CI], 0.77 to 0.92) and 0.91 (CI, 0.81 to 0.96), respectively. Subgroup analyses showed that use of tissue samples may improve sensitivity, and quantitative PCR and sonication of prostheses fluid may improve specificity. The results showed that PCR is reliable and accurate for detection of PJI.

Indexed as

HumansMicrobiological TechniquesMolecular Diagnostic TechniquesOsteoarthritisPolymerase Chain ReactionProsthesis-Related InfectionsSensitivity and Specificity

Identifiers

PMID23740731
PMCPMC3719604
OpenAlexW1973857300

What OpenQuestion holds

Textmetadata
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.