Evidence map›Paper›PMID 32606827›Full record

ArticleInfection and drug resistance2020

Comparison of Microdilution Method with Agar Dilution Method for Antibiotic Susceptibility Test of

Shao-Chun Chen, Jing-Wei Liu, Xing-Zhong Wu, Wen-Ling Cao, Feng Wang, Jin-Mei Huang, Yan Han, Xiao-Yu Zhu, Bang-Yong Zhu, Quan Gan and 6 more

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Clonal Expansion ofInfection and drug resistance · 2026
    Article
  2. Article
  3. Microbiology spectrum · 2025
    Article
  4. [Establishment and Evaluation of a Nucleic Acid Amplification Test for Spectinomycin-ResistantSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Article
  5. Article
  6. Article
  7. [Establishment and Evaluation of a Resazurin-Based Microdilution Assay for Microbial Sensitivity Test ofSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. 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

16 authors at 4 institutions in 1 country.

Shao-Chun Chen *Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, People's Republic of China.ORCID 0000-0002-6447-928X
Jing-Wei Liu *Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, People's Republic of China.ORCID 0000-0001-7260-141X
Xing-Zhong WuClinical Laboratory, Guangdong Provincial Dermatology Hospital, Guangzhou, Guangdong, People's Republic of China.
Wen-Ling CaoClinical Laboratory, Guangzhou Dermatology Hospital, Guangzhou, Guangdong, People's Republic of China.
Feng WangShenzhen Center for Chronic Diseases Control, Shenzhen, Guangdong, People's Republic of China.ORCID 0000-0003-2096-0239
Jin-Mei HuangClinical Laboratory, Guangdong Provincial Dermatology Hospital, Guangzhou, Guangdong, People's Republic of China.
Yan HanInstitute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, People's Republic of China.
Xiao-Yu ZhuInstitute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, People's Republic of China.
Bang-Yong ZhuClinical Laboratory, Guangxi Provincial Dermatology Hospital, Nanning, Guangxi, People's Republic of China.
Quan GanClinical Laboratory, Guangxi Provincial Dermatology Hospital, Nanning, Guangxi, People's Republic of China.
Xiao-Zheng TangClinical Laboratory, Hainan Provincial Dermatology Hospital, Haikou, Hainan, People's Republic of China.
Xing ShenZhuhai Center for Chronic Diseases Control, Zhuhai, Guangdong, People's Republic of China.
Xiao-Lin QinClinical Laboratory, Guangdong Provincial Dermatology Hospital, Guangzhou, Guangdong, People's Republic of China.
Yu-Qi YuClinical Laboratory, Guangdong Provincial Dermatology Hospital, Guangzhou, Guangdong, People's Republic of China.
He-Ping ZhengClinical Laboratory, Guangdong Provincial Dermatology Hospital, Guangzhou, Guangdong, People's Republic of China.
Yue-Ping YinInstitute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, People's Republic of China.ORCID 0000-0003-1700-2750
Chinese Center For Disease Control and Prevention · CNGuangdong Provincial People's Hospital · CNShenzhen Nanshan Center for Chronic Disease Control · CNZhuhai People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAntimicrobial resistance (AMR) of MATERIALS AND

methodsA total of 166 clinical isolates were tested for antimicrobial susceptibility of ceftriaxone, spectinomycin, azithromycin, ciprofloxacin, tetracycline, and penicillin using MD and AD method simultaneously. Results of MD method were read manually or automatically. Rates of essential agreement (EA), category agreement (CA), minor error, and very major error were compared.

resultsThe total EAs (compared with results read manually) of penicillin, tetracycline, ciprofloxacin, spectinomycin, ceftriaxone, and azithromycin were 90.4%, 97.0%, 85.5%, 100.0%, 94%, and 72.3%; and CAs were 82.5%, 94.0%, 100%, 100%, 95.2%, and 94%, respectively.

conclusionWe conclude that the MD method might be an alternative for clinical AST of

Indexed as

antimicrobial susceptibility testNeisseria gonorrhoeae

Identifiers

PMID32606827
PMCPMC7304676
OpenAlexW3035249233

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.