Evidence map›Paper›PMID 36846918›Full record

SynthesisThe veterinary quarterly2023

Prevalence of babesiosis in bovines of India: a meta-analytical approach for 30 years (1990-2019).

Udipta Borthakur, Med Ram Verma, Yash Pal Singh, Sanjay Kumar, Dinesh Kumar, Yogesh Chandrakant Bangar, Khan Sharun, Kuldeep Dhama

Open access · goldFull text readMeta-Analysis
In one paragraph

Synthesis in The veterinary quarterly, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Comparative evaluation of real-time polymerase chain reaction, conventional PCR and microscopy for detection ofJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2024
    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

8 authors at 2 institutions in 1 country.

Udipta BorthakurDivision of Livestock Economics, Statistics and Information Technology, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.
Med Ram VermaDivision of Livestock Economics, Statistics and Information Technology, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.
Yash Pal SinghDivision of Livestock Economics, Statistics and Information Technology, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.
Sanjay KumarDivision of Livestock Economics, Statistics and Information Technology, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.
Dinesh KumarDivision of Livestock Economics, Statistics and Information Technology, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.
Yogesh Chandrakant BangarDepartment of Animal Genetics and Breeding, The Lala Lajpat Rai University of Veterinary and Animal Sciences (LUVAS), Hisar, Haryana, India.
Khan SharunDivision of Surgery, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.ORCID 0000-0003-1040-3746
Kuldeep DhamaDivision of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.ORCID 0000-0001-7469-4752
Indian Veterinary Research Institute · INLala Lajpat Rai University of Veterinary and Animal Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndia has a massive population of bovines, which makes the framework of the economy mainly relying on milk and meat production. Parasitic diseases such as babesiosis are detrimental to bovines by decreasing animal welfare and production efficiency.

aimPerforming a meta-analysis of the prevalence of babesiosis over 30 years viz 1990 to 2019 within India to pool out individual studies from different country regions. MATERIAL AND

methodsThe studies were reviewed thoroughly to assess the quality, and it was done by following the preferred reporting items for systematic review and meta-analysis (PRISMA) and MOOSE protocols. The prevalence of babesiosis in cattle and buffaloes was calculated using meta-analysis tools using R-software and Q Statistics.

resultsThe systematic review and meta-analysis performed on 47 studies among bovine, 48 studies among cattle, and 13 studies among buffaloes revealed the (pooled) prevalence of babesiosis in India as 10.9% (6.3%-18.2%;

conclusionThe findings from the meta-analysis showed that the disease is prevalent across the country, and that bovines are highly affected by it. CLINICAL RELEVANCE: Appropriate prevention and control measures should be taken to mitigate this disease and enhance welfare and production performances of bovines.

Indexed as

BabesiosisCattle DiseasesAnimalsBuffaloesCattleIndiaPrevalencebabesiosisbovinebuffalocattleCowIndiameta-analysisprevalencesystematic review

Identifiers

PMID36846918
PMCPMC10026754
OpenAlexW4322500131

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read40
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.