Evidence map›Paper›PMID 29302775›Full record

ArticleTropical animal health and production2018

Herd-level risk factors for bovine viral diarrhea infection in cattle of Tamil Nadu.

Subbiah Krishna Kumar, K M Palanivel, K Sukumar, B Samuel Masilamoni Ronald, G Selvaraju, G Ponnudurai

Abstract read
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In one paragraph

Article in Tropical animal health and production, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Review
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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

6 authors at 1 institution in 1 country.

Subbiah Krishna KumarDepartment of Veterinary Medicine, Veterinary College and Research Institute, Orathanadu, 614625, India. subbiahkrishnakumar74@gmail.com.
K M PalanivelVeterinary College and Research Institute, Namakkal, Tamil Nadu, India.
K SukumarVeterinary College and Research Institute, Namakkal, Tamil Nadu, India.
B Samuel Masilamoni RonaldVeterinary College and Research Institute, Orathanandu, Tamil Nadu, India.
G SelvarajuVeterinary College and Research Institute, Namakkal, Tamil Nadu, India.
G PonnuduraiVeterinary College and Research Institute, Namakkal, Tamil Nadu, India.
Tamil Nadu Veterinary and Animal Sciences University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cross-sectional study was carried out to identify risk factors for bovine viral diarrhea virus (BVDV) infection in 62 randomly selected dairy herds which were tested for BVD serum antibodies by using an indirect ELISA kit (IDEXX). Results from the chi-square test analysis were interpreted by analyzing by chi-square test. A sum of 500 sera samples were screened and 66 animals (13.20%) showed positive for BVDV antibody. Within herd, BVD seroprevalence was 12-65%. This study concluded that epidemiological risk factors like location, herd size, housing patterns like, tail to tail system, roofing pattern, distance between the manure pit and farm, and distance between farms were significantly associated with BVDV serological status (P < 0.05).

Indexed as

AnimalsAntibodies, ViralBovine Virus Diarrhea-Mucosal DiseaseCattleCross-Sectional StudiesDiarrheaDiarrhea Virus 1, Bovine ViralDiarrhea Viruses, Bovine ViralEnzyme-Linked Immunosorbent AssayFarmsFemaleIndiaRisk FactorsSeroepidemiologic StudiesAntibodies, ViralBovine viral diarrheaCattleSeroprevalenceTamil Nadu

Identifiers

PMID29302775
OpenAlexW2781833365

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.