Evidence map›Paper›PMID 24432270›Full record

ReviewGerms2012

Milk-borne infections. An analysis of their potential effect on the milk industry.

Revathi Dhanashekar, Sindhura Akkinepalli, Arvind Nellutla

Abstract readReview
In one paragraph

Review in Germs, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Prevalence and Antimicrobial Resistance ofAntibiotics (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Anti-Antibiotics (Basel, Switzerland) · 2022
    Article
  14. Article
  15. Article
  16. Prevalence and Diversity ofFrontiers in microbiology · 2022
    Article
  17. Pathogenic bacteria in cheese, raw and pasteurised milk.Veterinary medicine and science · 2021
    Article
  18. Potentially pathogenic bacteria isolated from Paipa cheese and its susceptibility profiles to antibiotics and biocides.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Article
  19. Article
  20. Prevalence and Antimicrobial Susceptibility Profile ofBioMed research international · 2021
    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.

Revathi DhanashekarB.Tech Biotechnology, Sri Indu College of Engineering and Technology, Jawaharlal Nehru Technological University, Hyderabad, Andhra Pradesh, India.
Sindhura AkkinepalliB.Tech Biotechnology, Sri Indu College of Engineering and Technology, Jawaharlal Nehru Technological University, Hyderabad, Andhra Pradesh, India.
Arvind NellutlaB.Tech Biotechnology, Sri Indu College of Engineering and Technology, Jawaharlal Nehru Technological University, Hyderabad, Andhra Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In developed countries such as the United States of America, foodborne illnesses account for 48 million infections per year. Developing countries such as India face greater simultaneous challenges particularly since incorrect processing or storage of dairy products can represent a transmission hazard for a large number of pathogens and can be responsible for outbreaks of brucellosis, listeriosis, tuberculosis, etc. It is important to recognize the types of germs which can be transmitted through insufficient thermal preparation of milk or milk products or through post-pasteurization contamination, in order to successfully avoid transmission of milk-borne infections.

Indexed as

Contaminationfoodborne infectionmilk processingpathogenicity

Identifiers

PMID24432270
PMCPMC3882853

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.