Evidence map›Paper›PMID 36647902›Full record

ArticleInternational wound journal2023

Application of next-generation sequencing technology in the detection of pathogenic bacteria of the periprosthetic joint infection after arthroplasty.

Yu Chang, Kai Jiang, Lixin Zhang, Fang Yang, Jing Huang

Open access · goldAbstract read
In one paragraph

Article in International wound journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. [Study on effectiveness of antibiotics guided by metagenomic next-generation sequencing to control infection after total knee arthroplasty].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2024
    Article
  7. Healthcare (Basel, Switzerland) · 2024
    Article
  8. Article
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

5 authors at 1 institution in 1 country.

Yu ChangDepartment of Clinical Pharmacy, Honghui Hospital, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Kai JiangDepartment of Clinical Pharmacy, Honghui Hospital, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Lixin ZhangDepartment of Clinical Pharmacy, Honghui Hospital, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Fang YangDepartment of Clinical Pharmacy, Honghui Hospital, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Jing HuangDepartment of Clinical Pharmacy, Honghui Hospital, Xi'an Jiaotong University, Xi'an, People's Republic of China.
Xi'an Honghui Hospital · CN

Funding

Natural Science Foundation of Shaanxi Province
6 · The paper itself

Abstract

To investigate the application value of next-generation sequencing (NGS) technology in the detection of pathogenic bacteria in the periprosthetic joint infection after arthroplasty. Twenty-two cases of patients with joint infection after arthroplasty in our hospital from March 2020 to March 2021 were selected, with 11 cases of knee and 11 cases of hip, including 8 cases of male and 14 cases of female, and an average age of 63.55 ± 13.11 years old (range from 28 to 85). Microbiological culture results of synovial fluid and periprosthetic joint tissue and NGS results of periprosthetic joint tissue were collected. The detection rate of NGS and microbiological culture were calculated and statistically analysed by paired χ

Indexed as

Arthroplasty, Replacement, KneeMethicillin-Resistant Staphylococcus aureusProsthesis-Related InfectionsStaphylococcal InfectionsAdultAgedAged, 80 and overAnti-Bacterial AgentsFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedRetrospective StudiesStaphylococcusStaphylococcus aureusAnti-Bacterial AgentsarthroplastyNGSpathogenic bacteriaPJI

Identifiers

PMID36647902
PMCPMC10333033
OpenAlexW4316812970

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.