Evidence map›Paper›PMID 33645900›Full record

ArticleVeterinary medicine and science2021

Sero-detection of Coxiella burnetii infection in cattle, sheep and goats in selected regions of Nepal.

Narayan Paudyal, Subash Poudel, Durga Pandey, Doj R Khanal

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. 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

4 authors at 3 institutions in 1 country.

Narayan PaudyalNational Animal Health Research Centre, NARC, Lalitpur, Nepal.ORCID 0000-0001-8204-2674
Subash PoudelMuna Veterinary Hospital, Lalitpur, Nepal.
Durga PandeyHimalayan College of Agricultural Sciences & Technology, Kirtipur, Kathmandu, Nepal.
Doj R KhanalNational Animal Health Research Centre, NARC, Lalitpur, Nepal.
Nepal Agricultural Research Council · NPHimalayan College of Agricultural Sciences and TechnologyNepal Cancer Hospital and Research Center · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coxiella burnetii, a Gram-negative bacterium is a zoonotic agent causing coxiellosis in animals. Small ruminants and cattle are the primary reservoirs for human infection. This study was aimed to estimate the sero-prevalence of C. burnetii in the ruminants of the selected region in Nepal. Field visits were carried out at four sites in different geographical regions of Nepal. A total of 522 sera samples were collected from 118 sheep, 242 goats and 162 cattle with the history of abortion, anoestrus and infertility. Sera were tested for the presence of antibodies against C. burnetii using a commercially available ready-to-use ELISA test kit. The overall true sero-prevalence was 1.89% (95% CI: 0.33-3.45), the prevalence ranged between 4.35% and 23.21% in goats. Sero-prevalence in goat was higher than that of cattle and sheep which ascertained that total freedom from coxiellosis cannot be confirmed in Nepal. This could complement the impacts of other infectious causes of the infertility in the farm animals as well as the public health of the farming households.

Indexed as

AnimalsCattleCattle DiseasesCoxiella burnetiiEnzyme-Linked Immunosorbent AssayGoat DiseasesGoatsNepalPrevalenceQ FeverSeroepidemiologic StudiesSheepSheep DiseasesSheep, Domesticcoxiellosisgoatlivestocknepalprevalence

Identifiers

PMID33645900
PMCPMC8294396
OpenAlexW3134867046

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.