Evidence map›Paper›PMID 26337266›Full record

ArticleParasitology research2015

Efficacy of selected anthelmintic drugs against cyathostomins in horses in the federal state of Brandenburg, Germany.

Juliane K Fischer, Barbara Hinney, Matthew J Denwood, Donato Traversa, Georg von Samson-Himmelstjerna, Peter-Henning Clausen

Abstract read
PubMed Publisher
In one paragraph

Article in Parasitology research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.3field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Egg reappearance periods of anthelmintics against equine cyathostomins: The state of play revisited.International journal for parasitology. Drugs and drug resistance · 2023
    Pooled it
  2. Article
  3. Article
  4. Anthelmintic resistance in equine nematodes: Current status and emerging trends.International journal for parasitology. Drugs and drug resistance · 2022
    Review
  5. Article
  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

6 authors at 6 institutions in 4 countries.

Juliane K FischerInstitute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Street. 7-13, D-14163, Berlin, Germany. juliane.fischer@uba.de.
Barbara HinneyInstitute of Parasitology, University of Veterinary Medicine, Veterinärplatz 1, 1210, Vienna, Austria. barbara.hinney@vetmeduni.ac.at.
Matthew J DenwoodDepartment of Large Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, 1870, Frederiksberg C, Denmark. md@sund.ku.dk.
Donato TraversaFaculty of Veterinary Medicine, Teramo, Italy. dtraversa@unite.it.
Georg von Samson-HimmelstjernaInstitute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Street. 7-13, D-14163, Berlin, Germany. gvsamson@fu-berlin.de.
Peter-Henning ClausenInstitute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, Robert-von-Ostertag-Street. 7-13, D-14163, Berlin, Germany. peter-henning.clausen@fu-berlin.de.
Berlin Mathematical School · DEFreie Universität Berlin · DERobert Koch Institute · DEUniversity of Copenhagen · DKUniversity of Teramo · ITUniversity of Veterinary Medicine Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyathostomins are currently the most common internal parasites of horses. With the intensive use of anthelmintic drugs over the past decades, resistance of cyathostomins to anthelmintics is becoming a growing problem in many countries. The aim of this study was to assess the current situation on horse farms in the German federal state of Brandenburg. A pre-selected population of horses from 24 premises that had shown a prevalence of cyathostomins higher than the average in a previous study was examined for anthelmintic efficacy. Faecal egg count reduction tests (FECRTs) were performed for ivermectin (IVM) and pyrantel (PYR). For IVM, the egg reappearance period (ERP) was also examined, as a shortened ERP can be indicative of developing resistance. The efficacy of IVM on cyathostomins was high: 99.1 % of 224 horses had a zero egg count 14 days after treatment. No shortening of the ERP was detected. For the data of the FECRT for PYR, three different methods of calculation were employed: (a) the method as recommended by the World Association for the Advancement of Veterinary Parasitology (WAAVP), (b) a bootstrapping method and (c) a Markov chain Monte Carlo method. Two methods of interpretation for these data were used: Resistance was declared (a) when FECR was <90 % and the lower 95 % confidence interval (LCL) <80 % and (b) when additionally the upper 95 % confidence level (UCL) was <95 %. When applying the first interpretation, resistance against PYR was found on four yards, while, when considering the UCL, all three methods for calculation only detected resistance on one single yard. Twelve species of cyathostomins were detected in larval cultures derived from strongyle egg positive faecal samples collected 14 days after treatment with PYR by reverse line blot hybridization (RLB). In order to generate comparable data, it is suggested to establish international standards for the calculation of FECRT data.

Indexed as

AnimalsAnthelminticsDrug ResistanceFecesGermanyHorse DiseasesHorsesIvermectinLarvaParasite Egg CountStrongylidaStrongylida InfectionsTreatment OutcomeAnthelminticsIvermectinAnthelminticsCyathostominsHorsesNematodesResistance

Identifiers

PMID26337266
OpenAlexW1773735820

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.