Evidence map›Paper›PMID 29755727›Full record

ArticleVeterinary medicine international2018

Antimicrobial Resistance Profile of

Haftay Abraha Tadesse, Netsenet Berhe Gidey, Kidane Workelule, Hagos Hailu, Seyfe Gidey, Abrha Bsrat, Habtamu Taddele

Abstract read
In one paragraph

Article in Veterinary medicine international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
  2. Antimicrobial resistance patterns ofFrontiers in veterinary science · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Food science & nutrition · 2024
    Article
  9. Extended-Spectrum Beta-Lactamase ProducingVeterinary medicine (Auckland, N.Z.) · 2024
    Article
  10. Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Development of multidrug-resistantVeterinary world · 2022
    Article
  16. Prevalence and Antibiogram ofJournal of tropical medicine · 2022
    Article
  17. Article
  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

7 authors.

Haftay Abraha TadesseCollege of Veterinary Medicine, Mekelle University, P.O. Box 2084, Mekelle, Ethiopia.ORCID 0000-0001-6555-124X
Netsenet Berhe GideyCollege of Veterinary Medicine, Mekelle University, P.O. Box 2084, Mekelle, Ethiopia.
Kidane WorkeluleCollege of Veterinary Medicine, Mekelle University, P.O. Box 2084, Mekelle, Ethiopia.
Hagos HailuCollege of Veterinary Medicine, Mekelle University, P.O. Box 2084, Mekelle, Ethiopia.ORCID 0000-0003-1568-4778
Seyfe GideyCollege of Veterinary Medicine, Mekelle University, P.O. Box 2084, Mekelle, Ethiopia.
Abrha BsratCollege of Veterinary Medicine, Mekelle University, P.O. Box 2084, Mekelle, Ethiopia.
Habtamu TaddeleCollege of Veterinary Medicine, Mekelle University, P.O. Box 2084, Mekelle, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimFoodborne illnesses represent a public health problem in developed and developing countries. They cause great suffering and are transmitted directly or indirectly between animals and humans and circulate in the global environment MATERIALS AND

methodsA cross-sectional study was conducted from October 2016 to June 2017 on 258 samples collected from milk shops (

resultThe overall mean viable bacterial count and standard deviation of samples from milk shop, fruit juice, and dairy milk were found to be 8.86 ± 10

conclusionThe current study supports the finding that raw milk and fruit juice can be regarded as critical source of pathogenic

Identifiers

PMID29755727
PMCPMC5884018

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.