Evidence map›Paper›PMID 32066636›Full record

ArticleThe Veterinary record2020

Spatiotemporal trends in cattle lungworm disease (

Catherine McCarthy, Jan van Dijk

Open access · hybridAbstract read
In one paragraph

Article in The Veterinary record, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  4. 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

2 authors at 2 institutions in 1 country.

Catherine McCarthyDepartment of Epidemiology and Population Health, University of Liverpool, Chester, Cheshire, UK hlcmccar@liv.ac.uk.ORCID 0000-0001-5636-1882
Jan van DijkDepartment of Epidemiology and Surveillance, Animal Health Trust, Newmarket, Suffolk, UK.
Animal Health Trust · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical disease caused by the bovine lungworm (

methodsHere, we report a retrospective analysis of the spatial distribution, seasonality and age of lungworm cases reported by the Veterinary Investigation Diagnosis Analysis database from 1975 to 2014.

resultsA sharp overall increase in the dictyocaulosis diagnostic rate (DR, cases / 1000 submissions) was observed, with, for example, median 2010-2014 DR 3.5 times as high as 1980-1984 DR. Such increases were most pronounced for Scotland, which became the region with the highest proportion of cases by 2009. Cases were increasingly diagnosed during the winter months (December-February).

conclusionThe apparent spatiotemporal changes in lungworm epidemiology pose new challenges to cattle farmers in Great Britain. Farmers and veterinarians need to remain vigilant for this disease and consider it as a possible cause for milk production losses at any time of the year. Awareness levels may have to be raised particularly in northern England and Scotland.

Indexed as

AnimalsCattleCattle DiseasesDictyocaulus InfectionsRetrospective StudiesSpatio-Temporal AnalysisUnited KingdomcattleDictyocaulus (lungworm)disease surveillanceincidenceostertagiaparasitology

Identifiers

PMID32066636
PMCPMC7365559
OpenAlexW3005799350

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.