Evidence map›Paper›PMID 26941028›Full record

ArticleBMC infectious diseases2016

Antimicrobial resistance in Neisseria gonorrhoeae in China: a meta-analysis.

Yawen Chen, Yanhong Gong, Tingting Yang, Xingyue Song, Jing Li, Yong Gan, Xiaoxv Yin, Zuxun Lu

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.1field-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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  6. Review
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  11. Article
  12. Molecular Antimicrobial Resistance ofInfectious diseases in obstetrics and gynecology · 2018
    Article
  13. Antibiotic resistance inIndian journal of sexually transmitted diseases and AIDS
    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

8 authors at 1 institution in 1 country.

Yawen ChenDepartment of Social Medicine and Health Management, School of Public Health Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. cyw2013shuxue@hotmail.com.
Yanhong GongDepartment of Social Medicine and Health Management, School of Public Health Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. gonganhong@163.com.
Tingting YangDepartment of Social Medicine and Health Management, School of Public Health Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. ytt910820@163.com.
Xingyue SongDepartment of Social Medicine and Health Management, School of Public Health Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. songxingyue2015@163.com.
Jing LiDepartment of Social Medicine and Health Management, School of Public Health Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. angellee215@163.com.
Yong GanDepartment of Social Medicine and Health Management, School of Public Health Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. scswj2008@163.com.
Xiaoxv YinDepartment of Social Medicine and Health Management, School of Public Health Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. yinxiaoxv@yahoo.com.
Zuxun LuDepartment of Social Medicine and Health Management, School of Public Health Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. zuxunlu@yahoo.com.
Huazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeisseria gonorrhoeae (N. gonorrhoeae) resistance to antimicrobial has been a major concern in China, and epidemiological data on N. gonorrhoeae resistance are not well understood. This meta-analysis was aimed at summarizing the evidence on N. gonorrhoeae resistance to penicillin, tetracycline, ciprofloxacin, ceftriaxone and spectinomycin in China.

methodsTwo researchers independently searched five databases to identify studies on N. gonorrhoeae resistance to antimicrobials from the databases' inception to November 7, 2014. A random-effects model was used to estimate the antimicrobial resistance rates and their corresponding 95% confidence intervals (CIs). Publication bias was assessed with the Begg rank correlation test and the Egger test.

resultsWe included 127 studies in our synthesis reporting antimicrobial resistance. Our analyses demonstrated that N. gonorrhoeae resistance to penicillin and tetracycline respectively increased from 74.41% (95% CI: 64.1-84.7%) and 68.3% (95% CI: 58.7-78.0%) in 2000 to 84.2% (95% CI: 79.7-88.8%) and 82.4% (95% CI: 79.9-84.7%) in 2012. N. gonorrhoeae resistance to ciprofloxacin experienced a steady increase from 12.7% (95% CI, 8.6-16.7%) in 1995 and reached 93.8% (95% CI: 91.9-95.7%) in 2003. N. gonorrhoeae resistance to ceftriaxone was 1.7% (95% CI: 0.5-5.7%) before 1995 and 0.5% (95% CI: 0.2-1.4%) in 2012, and N. gonorrhoeae resistance to spectinomycin was less than 2% from 1995 to 2012.

conclusionsN. gonorrhoeae resistance rates to penicillin, tetracycline and ciprofloxacin were high in China. Ceftriaxone and spectinomycin remained effective therapy for the treatment of gonorrhea. It is essential to strengthen N. gonorrhoeae resistance surveillance and update treatment guidelines timely.

Indexed as

Drug Resistance, BacterialAnti-Bacterial AgentsChinaGonorrheaHumansNeisseria gonorrhoeaeAnti-Bacterial Agents

Identifiers

PMID26941028
PMCPMC4778342
OpenAlexW2290972992

What OpenQuestion holds

Textmetadata
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.