Evidence map›Paper›PMID 28831231›Full record

ArticleVeterinary world2017

Serogrouping and antibiotic resistance of

Zehor Halfaoui, Nabil Mohamed Menoueri, Lyes Mohamed Bendali

Open access · goldAbstract read
In one paragraph

Article in Veterinary world, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Genomic characterization ofFrontiers in microbiology · 2026
    Article
  3. Antimicrobial Resistance in SelectedAntibiotics (Basel, Switzerland) · 2025
    Review
  4. Molecular Characterization and Antibiotic Resistance of Avian PathogenicAnimals : an open access journal from MDPI · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. First report of detection ofIranian journal of veterinary research · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. A retrospective analysis of antimicrobial resistance in pathogenicInternational journal of veterinary science and medicine · 2021
    Article
  17. Avian PathogenicPathogens (Basel, Switzerland) · 2021
    Review
  18. Article
  19. Article
  20. 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

3 authors at 1 institution in 1 country.

Zehor HalfaouiVeterinary Institute, University of Blida 1, Road of Soumaa, BP 270, Blida 09000, Algeria.
Nabil Mohamed MenoueriVeterinary Institute, University of Blida 1, Road of Soumaa, BP 270, Blida 09000, Algeria.
Lyes Mohamed BendaliMedical Analysis Laboratory, Miliana, BP 44200, Algeria.
University of Blida · DZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimColibacillosis is considered as one of the major bacterial infections in avian pathology. The excessive use of antibiotics reduced their effectiveness, which eventually led to the risk of emergence of antibiotic resistance. The aim of this study was to isolate, identify and serotype the pathogenic MATERIALS AND

methodsA total of 180 samples from different organs of broilers with colibacillosis lesions were collected (liver, spleen, lung, and heart) in center of Algeria. The isolation and identification of

resultsA total of 156 strains of

conclusionThe antibiotic resistance continues to rise at an alarming rate, and the emergence of ESBL is considered as a threat for public health.

Indexed as

Algeriaantibiotic resistancebroilerscolibacillosisEscherichia coliserogrouping

Identifiers

PMID28831231
PMCPMC5553156
OpenAlexW2741553801

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.