Evidence map›Paper›PMID 32158155›Full record

ArticleVeterinary world2020

Meta-analysis of the prevalence of livestock diseases in North Eastern Region of India.

Nagendra Nath Barman, Sharanagouda S Patil, Rashmi Kurli, Pankaj Deka, Durlav Prasad Bora, Giti Deka, Kempanahalli M Ranjitha, Channappagowda Shivaranjini, Parimal Roy, Kuralayanapalya P Suresh

Open access · goldAbstract read
In one paragraph

Article in Veterinary world, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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  11. Review
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  13. Review
  14. The prevalence of foot-and-mouth disease in Asia.Frontiers in veterinary science · 2023
    Review
  15. Spatial seroprevalence of classical swine fever in India.Tropical animal health and production · 2021
    Article
  16. Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN).International journal of environmental research and public health · 2021
    Article
  17. Review
  18. Bovine brucellosis - a comprehensive review.The veterinary quarterly · 2021
    Review
  19. Review
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

10 authors at 2 institutions in 1 country.

Nagendra Nath BarmanDepartment of Veterinary Microbiology, College of Veterinary Science, Assam Agriculture University, Guwahati, Assam, India.
Sharanagouda S PatilDepartment of Virology, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, Karnataka, India.
Rashmi KurliDepartment of Spatial Epidemiology, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, Karnataka, India.
Pankaj DekaDepartment of Veterinary Microbiology, College of Veterinary Science, Assam Agriculture University, Guwahati, Assam, India.
Durlav Prasad BoraDepartment of Veterinary Microbiology, College of Veterinary Science, Assam Agriculture University, Guwahati, Assam, India.
Giti DekaDepartment of Veterinary Microbiology, College of Veterinary Science, Assam Agriculture University, Guwahati, Assam, India.
Kempanahalli M RanjithaDepartment of Virology, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, Karnataka, India.
Channappagowda ShivaranjiniDepartment of Virology, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, Karnataka, India.
Parimal RoyDirector, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, Karnataka, India.
Kuralayanapalya P SureshDepartment of Spatial Epidemiology, ICAR-National Institute of Veterinary Epidemiology and Disease Informatics, Bengaluru, Karnataka, India.
National Institute Of Veterinary Epidemiology And Disease Informatics · INAssam Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe study aimed to determine the overall prevalence of livestock diseases in North Eastern Region (NER) of India, through a systematic review and meta-analysis of published data. MATERIALS AND

methodsThe articles used for the study were retrieved from PubMed, J-Gate Plus, Indian Journals, and Google scholar, R open-source scripting software 3.4.3. Metafor, Meta. The Chi-square test was conducted to assess for the heterogeneity, forest plot (confidence interval [CI] plot) is a method utilized to present the results of meta-analysis, displaying effect estimate and their CIs for each study were used for searching and retrieval of livestock diseases prevalence data in India using a search strategy combining keywords and related database-specific subject terms from 2008 to 2017 in English only.

resultsThe prevalence of various livestock diseases are foot-and-mouth disease (21%), bluetongue (28%), brucellosis in bovine (17%), brucellosis in caprine (2%), brucellosis in porcine (18%), brucellosis in sheep and goat (3%), babesiosis (6%), theileriosis (26%), porcine reproductive and respiratory syndrome (1%), porcine cysticercosis (6%), classical swine fever (31%),

conclusionThis study indicates that the overall prevalence of various livestock diseases in NER of India.

Indexed as

babesiosisbrucellosisclassical swine feverfoot-and-mouth diseaseforest plotlivestockmeta-analysisNorth Eastern regionsPeste des petits ruminantsPorcine circovirusporcine cysticercosisporcine reproductive and respiratory syndromeprevalenceseroprevalencetheileriosis

Identifiers

PMID32158155
PMCPMC7020116
OpenAlexW2999803293

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.