Evidence map›Paper›PMID 29623873›Full record

ReviewMicrobiology spectrum2018

Antimicrobial Resistance in

Zhangqi Shen, Yang Wang, Qijing Zhang, Jianzhong Shen

Open access · bronzeAbstract readReview
In one paragraph

Review in Microbiology spectrum, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
7.8field-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

69 citing papers in PubMed, 112 citations in OpenAlex.

  1. Article
  2. Virulence and Antimicrobial Resistance inAntibiotics (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Cross-Host Adaptation ofMicroorganisms · 2026
    Article
  8. Detection and Characterization of ThermotolerantAntibiotics (Basel, Switzerland) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Antimicrobial resistance profiles ofMicrobiology resource announcements · 2025
    Article
  13. Emergence of the coexistence ofMicrobiology spectrum · 2025
    Article
  14. Article
  15. Article
  16. Phenotypic characterization and antimicrobial resistance ofJournal of advanced veterinary and animal research · 2025
    Article
  17. Article
  18. Article
  19. Review
  20. Review

9 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 2 countries.

Zhangqi ShenBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Yang WangBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
Qijing ZhangDepartment of Veterinary Microbiology and Preventive Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011.
Jianzhong ShenBeijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing, 100193, China.
China Agricultural University · CNIowa State University · US

Funding

Function and inhibition of multidrug efflux systems in CampylobacterR01AI118283 · NIAID · IOWA STATE UNIVERSITY · PI ZHANG, QIJING · 2016 to 2020
$1.6M
NIAID NIH HHS R01 AI118283
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AnimalsAnti-Bacterial AgentsBacterial ProteinsCampylobacterDrug Resistance, BacterialDrug Resistance, Multiple, BacterialGene Transfer, HorizontalGenomic IslandsHumansMembrane Transport ProteinsMutationAnti-Bacterial AgentsBacterial ProteinsMembrane Transport Proteins

Identifiers

PMID29623873
PMCPMC11633568
OpenAlexW2796376178

What OpenQuestion holds

Textmetadata
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.