Evidence map›Paper›PMID 31193648›Full record

ArticleEClinicalMedicine2019

A Whole-genome Sequencing Analysis of

Jun-Ping Peng, Yue-Ping Yin, Shao-Chun Chen, Jian Yang, Xiu-Qin Dai, He-Ping Zheng, Wei-Ming Gu, Bang-Yong Zhu, Gang Yong, Na Zhong and 13 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.9field-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

33 citing papers in PubMed, 62 citations in OpenAlex.

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  17. Whole Genome Analyses Accurately IdentifyInternational journal of molecular sciences · 2022
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  18. Article
  19. Review
  20. A Multiplex Molecular Assay for Detection of SixAntimicrobial agents and chemotherapy · 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

23 authors at 11 institutions in 1 country.

Jun-Ping PengNational Health Commission Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Yue-Ping YinInstitute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
Shao-Chun ChenInstitute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
Jian YangNational Health Commission Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Xiu-Qin DaiInstitute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
He-Ping ZhengDermatology Hospital, Southern Medical University, Guangzhou, China.
Wei-Ming GuShanghai Skin Disease Hospital, Shanghai, China.
Bang-Yong ZhuInstitute of Dermatology, Guangxi Autonomous Region, Nanning, China.
Gang YongSichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.
Na ZhongHainan Provincial Center for STD/Skin Disease Control and Prevention, Haikou, China.
Li-Hua HuZhejiang Provincial Institute of Dermatology, Deqing, China.
Wen-Ling CaoGuangzhou Institute of Dermatology, Guangzhou, China.
Zhong-Jie ZhengTianjin Center for Disease Control and Prevention, Tianjin, China.
Feng WangShenzhen Center for Chronic Disease Control, Shenzhen, China.
Qi ZhiXinjiang Center for Disease Control and Prevention, Urumqi, China.
Chi ZhangNational Health Commission Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Le-Shan XiuNational Health Commission Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Bo LiuNational Health Commission Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Jie DongNational Health Commission Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Li-Lian SunNational Health Commission Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Ya-Fang ZhuNational Health Commission Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Xiang-Sheng ChenInstitute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
Qi JinNational Health Commission Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P. R. China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChinese Center For Disease Control and Prevention · CNGuangdong Provincial People's Hospital · CNGuangzhou Institute of Dermatology · CNHainan Center for Disease Control & Prevention · CNShandong Provincial Institute of Dermatology and Venereology · CNShanghai Skin Disease Hospital · CNShenzhen Nanshan Center for Chronic Disease Control · CNSichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CNTianjin Centers for Disease Control and Prevention · CNXinjiang Uygur Autonomous Region Disease Prevention and Control Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTracking the spread of the

methodsWe obtained clinical isolates and data from the China Gonococcal Resistance Surveillance Programme (China-GRSP) from 2012 to 2013. We sequenced the genomes of 435 clinical isolates of

findingsThe most prevalent MLST STs in our gonococcal population were MLST ST7827 (n = 74), followed by ST7365 (n = 58), ST1600 (n = 38), ST7367 (n = 35), and ST7363 (n = 29). MLST ST1901 which was reported as the predominant ST in the US was not found in our population. A total of 2512 strains, including additional 2077 published NG strains, were further included for phylogenetic analysis. It generated two distinct lineages - lineage 1 and lineage 2. Analysis of MLST ST1901 in the database indicate that most of MLST ST1901 isolates in the lineage2.6 were Cfx-DS isolates while all isolates in the lineage 2.1 were sensitive to ceftriaxone (77/110 vs. 0/13; p < 0.001). ST1901/lineage 2.6 is a ceftriaxone resistant clone which cannot distinguished by MLST genotyping. In the isolates from our study, the MICs of ceftriaxone for ST7363/lineage 2.6 isolates ranged from 0.008-0.125 mg/L (mean ± SD; 0.054 ± 0.043 mg/L) while those for ST7363/lineage 2.8 isolates ranged from 0.032-0.250 mg/L (0.134 ± 0.085 mg/L). All ST7363/lineage 2.8 isolates contained

interpretationTo our knowledge, current study is the first WGS-based analysis of gonococcal population at national level in Asia. China harbors the different predominant clones associated with decreased susceptibility to ceftriaxone from those clones circulated in other regions. The findings from the study can be not only used as baseline data for future studies in China but also contributable to our understanding on spread of

fundingThe Chinese Academy Medical Sciences (CAMS) Initiative for Innovative Medicine.

Identifiers

PMID31193648
PMCPMC6537553
OpenAlexW2912288210

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.