Evidence map›Paper›PMID 34466091›Full record

ReviewSaudi journal of biological sciences2021

A systematic review and

Sharanagouda S Patil, Rajamani Shinduja, Kuralayanapalya Puttahonnappa Suresh, Sulekha Phukan, Sachin Kumar, Pinaki Prasad Sengupta, Raghavendra G Amachawadi, Ashwin Raut, Parimal Roy, Asad Syed and 6 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Saudi journal of biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. A novelOpen veterinary journal · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

16 authors.

Sharanagouda S PatilICAR-National Institute of Veterinary Epidem iology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.
Rajamani ShindujaICAR-National Institute of Veterinary Epidem iology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.
Kuralayanapalya Puttahonnappa SureshICAR-National Institute of Veterinary Epidem iology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.
Sulekha PhukanDepartment of Parasitology, College of Veterinary Science, Khanapara, Guwahati, Assam, India.
Sachin KumarDepartment of Biosciences and Bioengineering, IIT, Guwahati, Assam, India.
Pinaki Prasad SenguptaICAR-National Institute of Veterinary Epidem iology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.
Raghavendra G AmachawadiDepartment of Clinical Sciences, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.
Ashwin RautICAR-National Institute of High Security Animal Diseases (NIHSAD), Bhopal, Madhya Pradesh, India.
Parimal RoyICAR-National Institute of Veterinary Epidem iology and Disease Informatics (NIVEDI), Yelahanka, Bengaluru, India.
Asad SyedDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Najat MarraikiDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Abdallah M ElgorbanDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Helal F Al-HarthiDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Ali H BahkaliDepartment of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
Chandan ShivamalluDepartment of Biotechnology and Bioinformatics, School of Life Sciences, JSS Academy of Higher Education and Research (JSS AHER), Mysuru, Karnataka 570 015, India.
Kollur Shiva PrasadDepartment of Sciences, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru Campus, Mysuru, Karnataka 570 026, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Indian poultry industry is one of the fast-growing sectors of which duck farming plays an important role. Duck population in India is 33.51 million that is concentrated towards north-east and southern parts of the country who rears mainly for eggs and meat. Duck diseases are of great concern as they badly affect the financial status of the small, landless farmers. Databases such as Google Scholar, PubMed, J gate were used to search articles between 2000 and 2019 that showed the prevalence of viral, bacterial, and parasitic duck diseases. R open source software was used to derive forest plots by statistical analysis. Pooled prevalence estimates of duck diseases worldwide was found to be 20% (95%-CI:15-26). Also, continent-wise analysis of all duck diseases has revealed highest prevalence in North America, followed by Asia, Africa, Europe,Oceania and South America. This prevalence of data would be helpful to the policymakers to develop appropriate intervention strategies to prevent and control diseases in their respective locations.

Indexed as

Duck diseasesIndiaMeta-analysisPrevalenceSystematic review

Identifiers

PMID34466091
PMCPMC8381006

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.