Evidence map›Paper›PMID 30643437›Full record

ReviewInfection and drug resistance2019

Evaluation of the accuracy of molecular assays targeting the mutation A2059G for detecting high-level azithromycin resistance in

Feng Wang, Jingwei Liu, Hongye Liu, Jing Huang, Shaochun Chen, Xiangsheng Chen, Yueping Yin

Open access · goldAbstract readReview
In one paragraph

Review in Infection and drug resistance, 2019. 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
0.8field-weighted citation impact, top 29% 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, 7 citations in OpenAlex.

  1. Heterogeneity of azithromycin resistance markers inNew microbes and new infections · 2026
    Review
  2. Article
  3. Evaluation ofInfection and drug resistance · 2022
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Gentamicin susceptibility ofInfection and drug resistance · 2019
    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

7 authors at 2 institutions in 1 country.

Feng WangDepartment of STD Control Laboratory, Shenzhen Center for Chronic Disease Control, Shenzhen, China.
Jingwei LiuDepartment of Reference STD Lab, National Center for STD Control, Chinese Center for Disease Control and Prevention, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China, yinyp@ncstdlc.org.
Hongye LiuDepartment of Reference STD Lab, National Center for STD Control, Chinese Center for Disease Control and Prevention, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China, yinyp@ncstdlc.org.
Jing HuangDepartment of STD Control Laboratory, Shenzhen Center for Chronic Disease Control, Shenzhen, China.
Shaochun ChenDepartment of Reference STD Lab, National Center for STD Control, Chinese Center for Disease Control and Prevention, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China, yinyp@ncstdlc.org.
Xiangsheng ChenDepartment of Reference STD Lab, National Center for STD Control, Chinese Center for Disease Control and Prevention, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China, yinyp@ncstdlc.org.
Yueping YinDepartment of Reference STD Lab, National Center for STD Control, Chinese Center for Disease Control and Prevention, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China, yinyp@ncstdlc.org.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNShenzhen Nanshan Center for Chronic Disease Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsTwo researchers independently searched six databases to identify studies published from the launch of each database to October 15, 2017. The fixed effects model was used to estimate the pooled sensitivity rate, specificity rate, positive predictive value (PPV), and negative predictive value (NPV). Summary receiver operating characteristic curves were generated, and the area under the curve (AUC) was determined to estimate the overall performance of the assays. The Deeks' test was conducted to evaluate potential publication bias.

resultsTen relevant studies were included in the meta-analysis to assess the synthetic accuracy of the molecular assays. The molecular assays had the synthetic sensitivity rate of 97.8% and the synthetic specificity rate of 99.1%. And the aggregated PPV and NPV were 96.4% and 99.5%, respectively. AUC was 0.99, suggesting a close relation existing between the mutation A2059G and high-level azithromycin resistance. This indicated that the molecular assays targeting the mutation A2059G have relatively high overall accuracy for identifying HL-AzmR

conclusionThe mutation A2059G is the critical factor causing high-level azithromycin resistance. Hence, molecular methods are recommended to be put into clinical practice by commercialization, which will assist clinicians to prescribe more precisely.

Indexed as

23S rRNAA2059Gazithromycin resistanceNeisseria gonorrhoeaesystematic review

Identifiers

PMID30643437
PMCPMC6312691
OpenAlexW2907404189

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.