Evidence map›Paper›PMID 32013798›Full record

SynthesisPathogens and global health2020

Prevalence of fluoroquinolone-resistant

Farzad Khademi, Hamid Vaez, Fahimeh Ghanbari, Mohsen Arzanlou, Jafar Mohammadshahi, Amirhossein Sahebkar

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Pathogens and global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.1field-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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Antibiotic-ResistantAntibiotics (Basel, Switzerland) · 2025
    Article
  7. Drug resistance and genotyping studies ofFrontiers in veterinary science · 2025
    Article
  8. Carbapenem-resistantJournal of water and health · 2024
    Article
  9. Article
  10. AIMS microbiology · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Antibiotic resistance profiles ofIranian journal of veterinary research · 2020
    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

6 authors at 5 institutions in 1 country.

Farzad KhademiDepartment of Microbiology, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.ORCID 0000-0001-6181-4903
Hamid VaezDepartment of Microbiology, School of Medicine, Zabol University of Medical Sciences, Zabol, Iran.
Fahimeh GhanbariStudent Research Committee, School of Medicine, Shahid Saddoughi University of Medical Sciences, Yazd, Iran.
Mohsen ArzanlouDepartment of Microbiology, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Jafar MohammadshahiDepartment of Infectious Disease, Imam Khomeini Hospital, Ardabil University of Medical Sciences, Ardabil, Iran.
Amirhossein SahebkarHalal Research Center of IRI, FDA, Tehran, Iran.ORCID 0000-0002-8656-1444
Ardabil University of Medical Sciences · IRImam Khomeini Hospital · IRMashhad University of Medical Sciences · IRShahid Sadoughi University of Medical Sciences and Health Services · IRZabol University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was conducted to investigate the antimicrobial susceptibility profiles of

Indexed as

Drug Resistance, BacterialAnti-Bacterial AgentsFluoroquinolonesHumansIranSalmonellaSalmonella InfectionsAnti-Bacterial AgentsFluoroquinolonesAntibiotic resistancefluoroquinoloneIranSalmonella

Identifiers

PMID32013798
PMCPMC7144288
OpenAlexW3005240647

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.